System

Abstract

A system is provided.SOLUTION: A system comprising: a device that allows a user to enter a context and a question about a legal problem; a server that receives information sent from the device; a generative AI model for the server to analyze the information; the generative AI model obtaining relevant information from a legal database; the generative AI model generating an answer based on the obtained relevant information; the server sending the generated answer to the device; and the device displaying the sent answer to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Legal issues cover a wide range of topics, including contracts, divorce, and inheritance, but these are often specialized and difficult for the average person to understand. Furthermore, when a situation suddenly arises in which legal knowledge is needed, the traditional method of consulting a lawyer is expensive and difficult to access. Furthermore, scheduling a consultation with a lawyer can be a hassle, and time constraints arise when a quick resolution is required. Therefore, there is a need for a method that allows anyone to easily and affordably obtain professional legal advice. [Means for solving the problem]

[0005] The present invention solves the aforementioned problems with a system including a terminal on which a user can input the circumstances and questions related to a legal issue; a server that receives the information transmitted from the terminal; a generative AI model for analyzing the information; means for the generative AI model to acquire relevant information from a legal database; means for the generative AI model to generate an answer based on the acquired relevant information; means for the server to transmit the generated answer to the terminal; and means for the terminal to display the transmitted answer to the user. This system enables users to easily and affordably obtain expert legal advice without consulting a lawyer. Furthermore, the generative AI model can provide accurate answers to users' questions by analyzing the user's input using natural language processing. Furthermore, the server can provide specific action steps to the user based on the generated answer, allowing the user to quickly understand the actual actions they should take.

[0006] "User" refers to an individual or corporation that uses the system.

[0007] A "terminal" is a device through which a user inputs data and interacts with the system, including a personal computer or smartphone.

[0008] "Server" refers to the central processing unit that receives input information from users and analyzes and generates answers using a generative AI model.

[0009] A "generative AI model" refers to an artificial intelligence model that analyzes user input, retrieves relevant information from legal databases, and generates optimal answers.

[0010] "Legal Database" refers to a data store containing the Roppo Zensho, related case law data, and other legal literature.

[0011] "Answer generation means" refers to the means by which the generative AI model generates answers to users' questions based on the legal data it acquires.

[0012] The "behavioral instruction means" refers to a means by which the server shows the user specific behavioral steps based on the generated answer.

[0013] "Natural language processing" refers to technology for analyzing text entered by a user and extracting intent and keywords. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0015] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0018] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0019] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0020] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0027] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0034] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0035] The present invention is an online tool that allows users to solve legal problems easily and inexpensively. The program processing of the system of the present invention will be explained below in natural language.

[0036] Overall system overview

[0037] The system includes a terminal where a user can input the circumstances and questions related to the legal issue, a server that receives the information sent from the terminal, a generative AI model for analyzing the information and generating an answer, and a means for generating an answer based on the acquired legal data.

[0038] Explanation of program processing

[0039] 1. User Input

[0040] The user inputs into the terminal the circumstances and questions regarding his / her legal problem, for example, "I'm thinking about getting divorced, but what about child custody?"

[0041] 2. Data Transmission

[0042] The device encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0043] 3. Information analysis

[0044] The server passes the received information to the generative AI model, which uses natural language processing technology to analyze the input information. Specifically, it extracts important keywords and intent from the user's text.

[0045] 4. Data Reference

[0046] Based on the analyzed information, the generative AI model refers to legal databases (such as the Complete Law Collection and related case law data) to obtain appropriate information.

[0047] 5. Answer generation

[0048] The generative AI model uses referenced legal data to generate lawyer-level answers to user questions, such as, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but in many cases the final decision is made by the court."

[0049] 6. Submit your response

[0050] The server re-encrypts the generated answer and sends it to the end user's device, thereby preserving privacy.

[0051] 7. Answer display

[0052] The device then displays the received response to the user, who can then review the specific legal advice. For example, the response may be displayed in chat format or card format.

[0053] 8. Behavioral Lecture

[0054] Based on the generated answer, the server generates specific action instructions for the user, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0055] The terminal displays this action sequence to the user, clearly indicating what to do next.

[0056] Specific examples

[0057] Example 1: Child custody questions during divorce

[0058] User input: "I'm considering divorce, what do you think about child custody?"

[0059] Data transmission: The device encrypts the input information and sends it to the server.

[0060] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords ("divorce," "children," "custody").

[0061] Data reference: The generative AI model references the Six Codes and case law database to search for relevant laws and precedents.

[0062] Answer Generation: Generate the answer, "Child custody during divorce is basically decided by agreement between both parents, but in many cases the final decision is made by the court."

[0063] Send Answer: The server sends the encrypted answer to the device.

[0064] Display Answer: The terminal displays the received answer to the user.

[0065] Action Instruction: The server generates a specific action instruction such as "First, try to reach an agreement between the parties and consult with a lawyer" and sends it to the terminal. The terminal displays it to the user.

[0066] As described above, the present invention makes it possible to realize a system that allows users with legal problems to obtain professional advice quickly and at low cost.

[0067] The processing flow will be explained below.

[0068] Step 1:

[0069] The user uses the terminal to input the situation and question about his / her legal problem, for example, "I'm thinking about getting divorced. What will happen to the custody of my children?"

[0070] Step 2:

[0071] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0072] Step 3:

[0073] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[0074] Step 4:

[0075] The generative AI model uses natural language processing (NLP) techniques to analyze the user's question and context, specifically extracting important keywords and the intent of the question from the input text.

[0076] Step 5:

[0077] The server searches legal databases (such as the Six Codes and related case law data) based on the keywords and intent extracted by the generative AI model. For example, it finds data with keywords such as "divorce" and "child custody."

[0078] Step 6:

[0079] The generative AI model uses the search results to generate legal advice for users' questions. This involves summarizing legal literature and case law to formulate specific answers. For example, it could generate an answer like, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but in many cases the court makes the final decision."

[0080] Step 7:

[0081] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[0082] Step 8:

[0083] The terminal decodes the received answer data and displays it to the user, for example, in a chat format or card format.

[0084] Step 9:

[0085] Based on the generated answer, the server generates specific action instructions for the user and sends them to the terminal, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0086] Step 10:

[0087] The device displays specific steps to the user and provides guidance on what action to take next.

[0088] Through the above processing steps, the system is able to provide users with prompt and accurate legal advice.

[0089] Example 1

[0090] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0091] Conventional legal problem-solving methods are expensive, time-consuming, and difficult for general users without specialized knowledge to use. Furthermore, there are limited ways to obtain quick and accurate answers to legal inquiries. As a result, users are unable to obtain appropriate legal advice, increasing the risk of developing legal trouble. The present invention provides a system that allows users to easily and inexpensively solve legal problems from the comfort of their own home.

[0092] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0093] In this invention, the server includes an information processing device that allows a user to input a situation and a question related to the legal issue, a communication device that receives the information transmitted from the information processing device, a generative AI model for analyzing the information transmitted by the communication device, means for the generative AI model to acquire relevant information from a legal information database, means for the generative AI model to generate an answer based on the acquired relevant information, means for the communication device to transmit the generated answer to the information processing device, means for the information processing device to display the transmitted answer to the user, means for the information processing device to encrypt the input information from the user and transmit it to the communication device, means for the communication device to decrypt the information, means for the communication device to encrypt the generated answer and transmit it to the information processing device, and means for the information processing device to decrypt and display the encrypted answer. This enables users to obtain professional legal advice quickly and at low cost.

[0094] An "information processing device" is a device through which a user inputs circumstances and questions regarding a legal matter.

[0095] A "communication device" is a device that receives information transmitted from an information processing device and analyzes and processes the information.

[0096] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze user input and generate answers based on relevant information retrieved from legal databases.

[0097] A "legal information database" is a database that stores legal data (such as the complete collection of laws, related case law data, etc.).

[0098] The "answer generation means" is a means by which the generative AI model generates an answer to a user's question based on information referenced from the legal information database.

[0099] "Encryption means" refers to a means for encrypting information to protect the information being sent and received from being intercepted by a third party.

[0100] "Decryption means" refers to a means for restoring encrypted information to the original information.

[0101] The "action procedure generation means" is a means for generating a specific action procedure for the user based on the generated answer.

[0102] The "display means" is a means for the information processing device to display the generated answers and action procedures to the user.

[0103] The present invention is an online tool that allows users to easily and inexpensively solve legal problems. The system includes an information processing device that allows users to input the circumstances and questions related to the legal problem, a communication device that receives the transmitted information, a generative AI model for analyzing the information and generating answers, and a means for generating answers based on information obtained from a legal database.

[0104] First, a user inputs the circumstances and questions about their legal issue through an information processing device. For example, the user may ask a specific question such as, "I'm considering divorce. What will happen to child custody?" This question is encrypted by the information processing device using AES encryption technology and sent to a communication device via the HTTPS protocol.

[0105] The communication device then decodes the received information and passes it to a generative AI model. The generative AI model uses natural language processing techniques to analyze the user's question. For example, a generative AI model such as GPT-3 (registered trademark) can be used to identify important keywords and intent from the input text. Based on this analysis, relevant information is retrieved from legal databases (e.g., the Six Codes Collection and related case law data).

[0106] The generative AI model generates an answer to the question based on the acquired relevant information. For example, it may provide an answer such as, "Child custody in divorce cases is generally determined by mutual agreement between the parents, but in many cases the final decision is made by the court." This generated answer is passed to the communication device, where it is re-encrypted and sent to the information processing device. The information processing device then decrypts the answer and displays it to the user.

[0107] Based on the generated answer, the communication device generates a specific action procedure for the user. For example, the communication device indicates specific steps such as "first, try to reach an agreement between the two parties" or "consult with a lawyer." This action procedure is also displayed to the user via the information processing device.

[0108] As a specific example, consider the case where a user inputs the question, "I'm thinking about getting divorced. Can you tell me about child custody?" In this case, the information processing device encrypts the input information and sends it to the communication device. The communication device decrypts the information and passes it to the generative AI model. The generative AI model references a relevant legal database and generates the answer, "Child custody in divorce cases is basically determined by agreement between both parents, but in many cases the final decision is made by the court." The communication device encrypts this answer and sends it to the information processing device, which decrypts the answer and displays it to the user. The communication device also generates an action procedure, such as "First, try to reach an agreement between the two parties and consult with a lawyer," and displays it to the user via the information processing device.

[0109] Thus, the present invention allows users to obtain professional advice on legal issues quickly and at low cost.

[0110] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0111] Step 1: User Input

[0112] Input: The user uses an information processing device to input the circumstances and questions regarding the legal issue.

[0113] Specific operation: The user inputs a specific question into the information processing device: "I'm thinking about getting divorced. What will happen to the custody of my children?"

[0114] Output: Question data entered by the user

[0115] Step 2: Data Encryption

[0116] Input: Question data entered by the user

[0117] Specific operation: The information processing device encrypts the input question data using AES encryption technology.

[0118] Output: Encrypted question data

[0119] Step 3: Send data

[0120] Input: Encrypted question data

[0121] Specific operations: The information processing device transmits the encrypted question data to the communication device using the HTTPS protocol.

[0122] Output: Encrypted question data sent to communication device

[0123] Step 4: Data Decryption

[0124] Input: Encrypted question data sent to communications device

[0125] Specific operations: The communication device decrypts the encrypted question data.

[0126] Output: Decoded question data

[0127] Step 5: Data analysis

[0128] Input: Decoded question data

[0129] How it works: The communication device passes the decoded question data to the generative AI model, which then analyzes the data using natural language processing techniques. For example, GPT-3 extracts important keywords from the question (e.g., "divorce," "children," and "custody").

[0130] Output: Extracted keywords and analytics data

[0131] Step 6: Legal Data Reference

[0132] Input: Extracted keywords and analysis data

[0133] How it works: The generative AI model searches the legal database based on the extracted keywords to obtain relevant legal and case law information.

[0134] Output: Retrieved law and related case law information

[0135] Step 7: Answer Generation

[0136] Input: Obtained law and related case law information

[0137] Specific operation: The generative AI model generates an answer to the user's question based on the acquired information. For example, it generates an answer such as, "Child custody in divorce cases is generally determined by the agreement of both parents, but in many cases the final decision is made by the court."

[0138] Output: The generated legal answer

[0139] Step 8: Encrypt the answer

[0140] Input: Generated legal response

[0141] Specific operations: The communication device encrypts the generated response again using AES encryption technology.

[0142] Output: Encrypted legal answer

[0143] Step 9: Submit your response

[0144] Input: Encrypted Legal Response

[0145] Specific operations: The communication device transmits the encrypted legal response to the information processing device using the HTTPS protocol.

[0146] Output: Encrypted legal response sent to information processing device

[0147] Step 10: Decrypt the answer

[0148] Input: Encrypted legal response sent to information processing device

[0149] Specific operations: The information processing device decrypts the encrypted legal response.

[0150] Output: Decrypted legal answer

[0151] Step 11: Display answers

[0152] Input: Decrypted legal response

[0153] Specific operation: The information processing device displays the decrypted legal answer to the user, for example, in a chat format or a card format.

[0154] Output: The legal answer displayed to the user

[0155] Step 12: Action procedure generation

[0156] Input: Decrypted legal response

[0157] Specific Action: The communication device generates specific action steps for the user based on the generated answer, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0158] Output: Generated concrete action steps

[0159] Step 13: Send and view action steps

[0160] Input: Generated specific action steps

[0161] Specific operation: The communication device transmits the generated action procedure to the information processing device, which then displays it to the user.

[0162] Output: Specific action steps displayed to the user

[0163] (Application example 1)

[0164] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0165] In today's world, it is important for users to receive prompt and accurate advice when they face legal issues. However, directly consulting with a lawyer with legal expertise can be a significant burden in terms of cost and time. In particular, when it comes to contracts and commitments related to electronic payment services, it is necessary to quickly assess legal risks and take appropriate measures, but there is a lack of tools to do so. The present invention aims to solve these problems and provide a system that allows users to easily and inexpensively resolve legal issues related to electronic payments.

[0166] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0167] In this invention, the server includes a terminal that allows a user to input a situation and a question related to the legal issue, a means for receiving information transmitted from the terminal, a generative AI model for analyzing the information, a means for the generative AI model to acquire relevant information from a legal database, a means for the generative AI model to generate an answer based on the acquired relevant information, a means for the server to transmit the generated answer to the terminal, a means for the terminal to display the transmitted answer to the user, and a means for the terminal to lecture the user on specific steps to take in response to the answer, thereby enabling the user to quickly assess legal risks and receive legal advice regarding electronic payments.

[0168] A "user" is an entity that utilizes the system and inputs circumstances and questions regarding legal matters.

[0169] A "terminal" is a device that a user uses to enter and transmit to a server the circumstances and questions regarding their legal matter.

[0170] A "server" is a device that receives information sent from a terminal, analyzes it using a generative AI model, and generates an answer.

[0171] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze user input, retrieve relevant information from legal databases, and generate answers based on this.

[0172] A "legal database" is a database that contains information about the law, such as the complete collection of laws and related case law data.

[0173] "Relevant information" is information obtained from legal databases that is necessary to resolve a user's legal problem.

[0174] The "answer generation means" is a function that generates answers to user questions based on related information acquired by the generative AI model.

[0175] The "means for lecturing on action steps" is a function that presents specific action steps for the user's legal situation based on the generated answers.

[0176] "Electronic Payments" refers to financial transactions conducted by users online, including the legal risks associated with contracts and commitments.

[0177] The present invention is a system that allows users to input their legal situation and questions and instantly receive professional advice. This system evaluates the user's legal risk and provides legal advice regarding electronic payments. The specific configuration and operation of the system are described below.

[0178] System configuration

[0179] The system consists of a "terminal" used by the user, a "server" that processes the data, a "generative AI model" that analyzes legal information, and a "legal database" that stores legal data.

[0180] Hardware and software used

[0181] 1. Terminal

[0182] Mobile devices such as smartphones and tablets.

[0183] It allows users to enter their legal situation and questions and receive answers.

[0184] 2. Server

[0185] Cloud-based servers (e.g., Amazon Web Services, Microsoft® Azure®)

[0186] It analyzes the information received from the user and runs a generative AI model.

[0187] 3. Generative AI Models

[0188] Models using Transformer, a natural language processing technology (e.g., OpenAI (registered trademark) GPT)

[0189] It parses user input, retrieves appropriate information from legal databases, and generates an answer.

[0190] 4. Legal Database

[0191] A database containing the complete collection of laws, related case law data, and other legal resources.

[0192] A data source from which a generative AI model obtains relevant information.

[0193] Data processing and calculation

[0194] User input: The user uses a terminal to enter a specific question, such as "What are the risks of this contract?"

[0195] Data transmission: The device encrypts the entered question and sends it to the server using a secure communication protocol (such as HTTPS).

[0196] Information analysis: The server passes the received question to a generative AI model, which analyzes it using natural language processing technology. Specifically, it extracts important keywords and intent from the user's question.

[0197] Data lookup: The generative AI model consults legal databases based on the analyzed information to obtain relevant legal information and precedents.

[0198] Answer generation: The generative AI model uses the acquired legal information to generate specific answers to the user's questions, such as "This contract involves the following risks..."

[0199] Sending the answer: The server re-encrypts the generated answer and sends it to the user's device.

[0200] Displaying answers: The user's device displays the received answers and provides legal advice to the user, often in chat or card format.

[0201] Action steps: Based on the generated answer, the server also gives the user specific action steps, such as "First, try to reach an agreement between the two parties."

[0202] Specific examples

[0203] Specific examples of prompt sentences are shown below.

[0204] User Questions:

[0205] "What are the risks of this contract?"

[0206] Legal Data:

[0207] "The following risks exist with respect to the contract: (Enter detailed risk data here)"

[0208] Detailed answer:

[0209] "Generated answer: Contracts carry the following risks. For example, if there is no cooling-off period after signing the contract, it will be very difficult to cancel. There may also be additional costs hidden in the terms of the contract..."

[0210] In this way, users can assess legal risks in real time and obtain appropriate legal advice regarding electronic payments.

[0211] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0212] Step 1:

[0213] The user uses a terminal to input the situation and question about the legal issue, for example, "What risks does this contract entail?" This input becomes the initial data for the system.

[0214] Step 2:

[0215] The device encrypts the entered question and sends it to the server using a secure communication protocol (such as HTTPS), thereby protecting the user's privacy.

[0216] Step 3:

[0217] The server decrypts the received encrypted data and passes it to the generative AI model, converting the data format to make it analyzable for the user's question.

[0218] Step 4:

[0219] The generative AI model uses natural language processing technology to analyze the user's question. Specifically, it extracts key keywords and intent from the question text. The results of this analysis are stored as internal data.

[0220] Step 5:

[0221] Based on the analysis results, the generative AI model refers to a legal database. Specifically, it searches for legal information and precedents related to the keywords to obtain the necessary data. This obtained data becomes the basis for generation in the next step.

[0222] Step 6:

[0223] The generative AI model uses the acquired legal data to generate specific answers to user questions, such as text in the form "This contract involves the following risks..."

[0224] Step 7:

[0225] The server then re-encrypts the generated answer and sends it to the user's device using a secure communication protocol, ensuring data security.

[0226] Step 8:

[0227] The device decrypts the received encrypted data and displays it to the user in a chat or card format that is easy for the user to understand intuitively.

[0228] Step 9:

[0229] Based on the generated answer, the server also generates specific action steps for the user, such as "First, try to reach an agreement between the two parties."

[0230] Step 10:

[0231] The device displays this action plan to the user and guides them through the specific next steps, allowing them to quickly take appropriate legal action.

[0232] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0233] The present invention is an online tool that allows users to solve legal problems easily and inexpensively, and further includes a function that recognizes the user's emotions and reflects them in generating answers. Below, the program processing of the system of the present invention will be specifically explained in natural language.

[0234] Overall system overview

[0235] The system includes a terminal on which a user can input the circumstances and questions related to the legal issue, a server that receives information sent from the terminal, a generative AI model for analyzing the information and generating answers, a means for generating answers based on the acquired legal data, an emotion engine, and a means for reflecting the acquired emotion data in generating answers.

[0236] Explanation of program processing

[0237] 1. User Input

[0238] The user inputs into the terminal the circumstances and questions about his or her legal problem, for example, "I'm thinking about getting divorced. What will happen to my child custody?"

[0239] 2. Data Transmission

[0240] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0241] 3. Information analysis

[0242] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[0243] 4. Analysis using natural language processing

[0244] The generative AI model uses natural language processing (NLP) techniques to extract important keywords and the intent of the question from the input text.

[0245] 5. Emotion analysis using an emotion engine

[0246] The server then passes the user's input to the emotion engine in parallel. The emotion engine analyzes the user's input to determine emotions. For example, it determines whether the user's text contains emotions such as "anxiety" or "anger."

[0247] 6. Data Reference

[0248] The generative AI model searches legal databases (such as the Complete Law Collection and related case law data) based on the analyzed keywords and intent to obtain relevant information.

[0249] 7. Answer generation

[0250] The generative AI model generates legal advice for users' questions based on the acquired legal data and emotional information from the emotion engine. For example, in addition to the answer "Child custody in divorce cases is generally determined by the agreement of both parents, but in many cases the final decision is made by the court," it generates additional advice that takes the user's emotions into account.

[0251] 8. Submit your response

[0252] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[0253] 9. Answer display

[0254] The terminal decodes the received answer data and displays it to the user, for example, in a chat format or card format.

[0255] 10. Behavioral Lecture

[0256] Based on the generated answer, the server generates specific action instructions for the user and sends them to the terminal, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0257] The device displays specific steps to the user and provides guidance on what action to take next.

[0258] Specific examples

[0259] Example 1: Child custody and emotional questions during divorce

[0260] User Type: "I'm considering divorce and am very concerned about child custody."

[0261] Data transmission: The device encrypts the input information and sends it to the server.

[0262] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords (e.g., "divorce," "child custody").

[0263] Emotion analysis: The server analyzes the user's emotions using an emotion engine and identifies the emotion "worry."

[0264] Data reference: The generative AI model references the Six Codes and case law database to search for relevant laws and precedents.

[0265] Answer generation: Generates the answer, "Child custody during divorce is basically decided by agreement between both parents, but in many cases the final decision is made by the court. First, try to discuss the matter calmly."

[0266] Send Answer: The server sends the encrypted answer to the device.

[0267] Display Answer: The terminal displays the received answer to the user.

[0268] Action Instruction: The server generates a specific action instruction such as "First, try to reach an agreement between the two parties, and then consult with an expert to resolve any concerns," and sends it to the device. The device then displays it to the user.

[0269] Through the above process, the system can provide prompt and accurate legal advice while taking into consideration the user's feelings, allowing the user to take measures to address legal issues with peace of mind.

[0270] The processing flow will be explained below.

[0271] Step 1:

[0272] The user uses the terminal to input the situation and question about his / her legal problem, for example, "I'm thinking about getting divorced. What will happen to the custody of my children?"

[0273] Step 2:

[0274] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0275] Step 3:

[0276] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[0277] Step 4:

[0278] The generative AI model uses natural language processing (NLP) techniques to extract key keywords and question intent from the input text, such as "divorce," "children," and "custody."

[0279] Step 5:

[0280] The server then passes the input to the emotion engine in parallel. The emotion engine analyzes the user's input to determine emotions. Specifically, it determines whether the user's text contains emotions such as "anxiety" or "anger."

[0281] Step 6:

[0282] The generative AI model searches legal databases (such as the Six Codes and related case law data) based on the extracted keywords and intent, and in the process of finding relevant information, identifies specific provisions and case law.

[0283] Step 7:

[0284] The generative AI model generates legal advice for the user's question based on the search results. It also takes into account emotional information obtained from the emotion engine to form the answer. For example, if the user expresses the emotion "worried," the model generates additional advice that reflects that emotion, such as "First, try to discuss the matter calmly."

[0285] Step 8:

[0286] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[0287] Step 9:

[0288] The device decodes the received response data and displays it to the user. For example, the device may display the response in a chat format or card format, providing the user with information in a format that is easy to understand.

[0289] Step 10:

[0290] Based on the generated answer, the server generates specific action steps for the user and sends them to the device. For example, the steps might be, "First, try to reach an agreement between the two parties and consult with a lawyer." If the emotional information is "worried," the server might also include an action such as, "Consult with a specialist to resolve your anxiety."

[0291] Step 11:

[0292] The device displays specific steps to the user and provides guidance on what action to take next, allowing the user to take the next step according to this guidance.

[0293] Through the above processing steps, the system is able to provide prompt and accurate legal advice while also taking into consideration the user's feelings.

[0294] Example 2

[0295] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0296] Conventional online legal support systems do not take users' feelings into consideration, so the advice they provide is mechanical and does not adequately alleviate users' mental anxieties and concerns. Furthermore, they lack the functionality to provide specific action steps, making it difficult for users to obtain specific guidance on what to do next.

[0297] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a generative model for the receiving device to analyze the information, a means for the generative model to acquire related information from a database, and a means for the generative model to generate an answer based on the acquired related information and emotion data. This makes it possible to generate specific and accurate legal advice while taking the user's emotions into consideration, and also provide specific guidelines for the user's next actions.

[0298] An "input device" is a device that allows a user to input information or questions about a legal issue.

[0299] The "receiving device" is a device for receiving information transmitted from the input device.

[0300] A "generative model" is a model for analyzing information received by a receiving device, acquiring related information, and generating an answer.

[0301] "Database" means data storage for accumulating and managing information, including legal information and related precedents.

[0302] "Emotion data" is emotion information analyzed based on the user's input, and is reflected in answer generation.

[0303] An "emotion engine" is a device or software that analyzes emotions from user input.

[0304] An "answer" is legal advice or instructions generated by a generative model based on relevant information and sentiment data.

[0305] An "action step" is a means of providing guidance to a user on the specific next action they should take.

[0306] The present invention is an online tool that allows users to solve legal problems easily and inexpensively, and also a system that includes a function to recognize the user's emotions and reflect them in generating answers.

[0307] This system consists of the following hardware and software components:

[0308] 1. Input Device (Terminal)

[0309] A device that allows users to input information and questions about legal issues, such as PCs, smartphones, tablets, etc. Terminals are equipped with input interfaces such as keyboards and touchscreens.

[0310] 2. Receiving device (server)

[0311] A device that receives information sent from a terminal and analyzes and processes it. It uses the HTTPS protocol to ensure communication security. The server requires a high-performance CPU and sufficient memory and storage.

[0312] 3. Generative Models (Generative AI Models)

[0313] This model uses natural language processing (NLP) techniques to analyze user input, retrieve relevant information from a database, and generate legal advice. This generative AI model uses large-scale language models such as BERT and GPT.

[0314] 4. Database

[0315] This database is used to store and manage legal information and related legal precedents, including the Six Codes and related legal precedent databases. This database is built using database management systems such as SQL and NoSQL.

[0316] 5. Emotion Engine

[0317] This is a device or software that analyzes emotions from user input using emotion recognition algorithms. For example, it can identify emotions such as "anxiety" or "worry" from user input.

[0318] 6. Action procedure generation method

[0319] This is a means for generating specific next steps for the user based on the generated legal advice and sending them to the terminal, so that the system can recommend specific actions to the user.

[0320] First, a user uses an input device to input a question about a legal issue. For example, they might input a question like, "I'm considering divorce. What will happen to child custody?" The device then encrypts the input information and sends it to a server. The server then passes the received information to a generative AI model, which begins analyzing it. The generative AI model uses natural language processing technology to analyze the user's input and extract important keywords and the intent of the question.

[0321] In parallel, the server passes the user's input to the emotion engine for emotion analysis. The emotion engine identifies emotions such as "worry" or "anxiety" from the user's input. The generative AI model retrieves relevant information from a legal database based on the analyzed keywords and intent. The generative AI model then combines the retrieved legal data and emotion information to generate legal advice for the user.

[0322] The generated advice is returned to the server, where it is re-encrypted and sent to the device. The device then decrypts the received answer data and displays it to the user in a format that is easy for the user to understand, such as a chat or card format.

[0323] Finally, the server generates specific action steps based on the generated answers and sends them to the terminal, which displays them to the user and provides specific guidance on what the user should do next, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0324] Specific examples

[0325] Example prompt: "I'm considering divorce, but I'm very concerned about child custody."

[0326] Example of operation

[0327] Example 1: Child custody and emotional questions during divorce

[0328] User input: Typed into the terminal, "I'm considering divorce, but I'm very concerned about child custody."

[0329] Data transmission: The device encrypts the input information and sends it to the server.

[0330] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords ("divorce," "child custody").

[0331] Emotion analysis: The server analyzes the user's emotions using an emotion engine and identifies the emotion "worry."

[0332] Data reference: The generative AI model refers to the Six Codes and case law database to search for relevant laws and precedents.

[0333] Answer generation: The generative AI model generated the answer, "Child custody in the event of divorce is generally determined by agreement between both parents, but in many cases the final decision is made by the court," along with advice that took the user's concerns into consideration.

[0334] Send Answer: The server sends the encrypted answer to the device.

[0335] Display Answer: The device displays the received answer to the user.

[0336] Action Instruction: The server generates a specific action instruction, such as "First, try to reach an agreement between the two parties, and then consult with an expert to resolve any concerns," and sends it to the device. The device then displays it to the user.

[0337] This system makes it possible to provide prompt and accurate legal advice while taking into consideration the user's feelings, allowing the user to take measures to address legal issues with peace of mind.

[0338] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0339] Step 1: User Input

[0340] How it works: The user types a question or situation into the device. For example, "I'm considering divorce. What happens to child custody?"

[0341] Input: The question or situation entered by the user.

[0342] Data processing and calculation: The terminal formats the text entered by the user.

[0343] Output: The formatted user input.

[0344] Step 2: Send data

[0345] How it works: The device encrypts the information entered and sends it to the server using the HTTPS protocol.

[0346] Input: Formatted user input.

[0347] Data processing and calculation: The terminal processes the input information using an encryption algorithm.

[0348] Output: The encrypted user input.

[0349] Step 3: Receiving information

[0350] How it works: The server receives encrypted information from the device.

[0351] Input: Encrypted user input.

[0352] Data processing and calculation: The server decrypts the received data.

[0353] Output: The decrypted user input.

[0354] Step 4: Information analysis

[0355] How it works: The server passes the decoded information to the generative AI model.

[0356] Input: The decrypted user input.

[0357] Data processing and calculation: The server specifies the input information as prompts for the generative AI model.

[0358] Output: Data ready for analysis.

[0359] Step 5: Natural Language Processing Analysis

[0360] How it works: The generative AI model uses natural language processing (NLP) techniques to parse the input text and extract key keywords and the intent of the question.

[0361] Input: Data ready for analysis.

[0362] Data processing and calculation: The generative AI model applies text analysis algorithms to extract keywords and intent.

[0363] Output: Extracted keywords and question intent.

[0364] Step 6: Emotion analysis using the emotion engine

[0365] How it works: The server analyzes the user's emotions in parallel with the emotion engine, which extracts emotional information from the user's input text.

[0366] Input: The decrypted user input.

[0367] Data processing and calculation: The server applies emotion analysis algorithms to identify the user's emotions.

[0368] Output: Data about user emotions.

[0369] Step 7: Data Reference

[0370] How it works: The generative AI model searches legal databases based on extracted keywords and intent to retrieve relevant information.

[0371] Input: Extracted keywords and question intent.

[0372] Data processing and computation: The generative AI model generates database queries and searches against legal databases.

[0373] Output: The retrieved legal data.

[0374] Step 8: Answer Generation

[0375] How it works: The generative AI model combines acquired legal data and emotional information to generate legal advice.

[0376] Input: Obtained legal data and user sentiment data.

[0377] Data processing and calculation: The generative AI model integrates this information and generates optimal legal advice for the user.

[0378] Output: The generated legal advice.

[0379] Step 9: Submit your response

[0380] How it works: The server encrypts the generated answer and sends it to the device.

[0381] Input: Generated legal advice.

[0382] Data processing and calculation: The server processes the legal advice using encryption algorithms.

[0383] Output: Encrypted legal advice.

[0384] Step 10: Display answers

[0385] Operation: The device decodes the received response data and displays it to the user in chat or card format.

[0386] Input: Encrypted legal advice.

[0387] Data processing and calculation: The device applies a decoding algorithm to decrypt the data.

[0388] Output: Decoded legal advice.

[0389] Step 11: Behavioral Lectures

[0390] Operation: The server generates specific action steps based on the generated answers and sends them to the terminal, which displays them to the user.

[0391] Input: Generated legal advice.

[0392] Data processing and calculation: The server applies the action procedure generation algorithm to create a specific action plan.

[0393] Output: Specific action steps generated.

[0394] (Application example 2)

[0395] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0396] In modern society, there are increasing opportunities to face legal problems, and there is a need to deal with them early without consulting an expert. However, users often lack legal knowledge and find it difficult to find an appropriate solution. Furthermore, feelings of anxiety and anger about legal issues can build up, making it difficult to make calm decisions. In such situations, a system is needed that allows users to easily obtain legal advice and receive advice that takes their emotions into consideration, allowing them to approach problem-solving with peace of mind.

[0397] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a terminal into which a user can input the circumstances and questions related to the legal issue, means for receiving information transmitted from the terminal, a generative AI model for analyzing the information, means for the generative AI model to acquire relevant information from a legal database, means for the generative AI model to generate an answer based on the acquired relevant information, means for the generative AI model to analyze emotions from the user's input and generate an answer taking emotions into consideration, means for the server to transmit the generated answer to the terminal, means for the terminal to display the transmitted answer to the user, and means for the server to present specific action steps to the user based on the generated answer. This allows users, even if they lack legal knowledge, to receive appropriate and emotionally sensitive advice, enabling them to deal with problems with confidence.

[0398] "User input" refers to information that a user inputs into a terminal in text form regarding circumstances and questions related to a legal issue.

[0399] A "terminal" is a device that allows a user to input information and send it to a server, and typically refers to a smartphone or computer.

[0400] "Server" refers to a central processing unit that receives information sent by users, analyzes that information, and generates a response.

[0401] A "generative AI model" refers to a model that uses artificial intelligence technology to analyze and generate answers based on user input information.

[0402] "Legal database" refers to data storage containing legal information such as the Complete Law Collection and case law data.

[0403] "Relevant Information" refers to the legal data that the generative AI model retrieves from legal databases to generate answers to legal questions.

[0404] "Emotion analysis" refers to the process of reading emotions from user input information and identifying those emotions.

[0405] "Specific action steps" refer to steps for instructing the user on the specific action to be taken next based on the generated answer.

[0406] "Answer" refers to the legal advice or counsel that a generative AI model generates based on its analysis and data acquisition.

[0407] "Presenting" refers to displaying the generated answer and specific action steps to the user and explicitly showing them to the user.

[0408] "Transmission means" refers to a communication means by which the server sends the generated response back to the terminal.

[0409] "Display" refers to visually showing the generated answers and action steps on the user's terminal.

[0410] The present invention provides a system for providing prompt and emotionally sensitive legal advice to users when they are faced with a legal problem. Specific embodiments for implementing this system will be described below.

[0411] Overall system configuration

[0412] The system includes a terminal through which a user inputs a situation and question regarding a legal issue, a server that receives information transmitted from the terminal, a generative AI model that analyzes the information and generates an answer, an emotion engine that performs emotion analysis, a legal database, means for transmitting the generated answer to the terminal, and means for displaying the transmitted answer to the user.

[0413] Hardware and Software Configuration

[0414] Hardware

[0415] User terminal: A device, such as a smartphone or computer, through which a user inputs and transmits information.

[0416] Server: A central processing unit that receives information sent by users, analyzes it, and generates responses.

[0417] software

[0418] Communication protocol: Data is communicated between the user terminal and the server using a secure communication protocol such as HTTPS.

[0419] Natural language processing engine: The core part of a generative AI model, this technology analyzes text information entered by the user and extracts important keywords and the intent of the question.

[0420] Emotion engine: Technology that analyzes emotions from user input text and identifies emotions such as "anxiety" or "anger."

[0421] Legal database: Data storage for legal information, such as the complete collection of laws and case law databases.

[0422] Generative AI model: A model that uses information from the natural language processing engine and sentiment engine to refer to a legal database and generate appropriate legal advice.

[0423] System Operation Overview

[0424] 1. User Input

[0425] The user enters the situation and question about the legal issue into the terminal in text format, for example, "I am considering divorce and am very concerned about child custody."

[0426] 2. Data Transmission

[0427] The terminal encrypts the input data and sends it to the server using HTTPS.

[0428] 3. Information and sentiment analysis

[0429] The server passes the received information to the generative AI model for information analysis. At the same time, it passes the information to the emotion engine to analyze the user's emotions. For example, the emotion "worry" is extracted.

[0430] 4. Data reference and answer generation

[0431] The generative AI model uses the analyzed information to refer to a legal database to obtain relevant legal information, and then generates appropriate legal advice based on the obtained information and the results of sentiment analysis.

[0432] 5. Present answers and action steps

[0433] The server re-encrypts the generated answer and sends it to the terminal, which then displays the received answer to the user and provides specific action instructions and guidance on the next steps to take.

[0434] Specific examples

[0435] For example, if a user enters "I was fired, but I'm worried that it was unfair," the system will first recognize the emotion as "anxiety," retrieve relevant legal information, and generate an appropriate response: "You may have been fired unfairly. In accordance with the Labor Standards Act, we recommend that you consult a lawyer and report this to the Labor Bureau. It's natural to be worried, but first gather evidence and deal with the situation calmly."

[0436] Prompt Sentence Examples

[0437] Below are some example prompts that can be input to a generative AI model:

[0438] User Question: "I'm considering divorce, but I'm very concerned about child custody."

[0439] Emotion: "Worry"

[0440] Generate sound legal advice.

[0441] As a result, the present invention provides a system that allows users to receive prompt and emotionally sensitive advice on legal issues, helping to resolve problems while reducing anxiety.

[0442] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0443] Step 1:

[0444] The user inputs the situation and questions about the legal issue into a device. Specifically, the user inputs a question in text format using a device such as a smartphone or computer, such as "I'm considering divorce and I'm very concerned about child custody." This input becomes the basis for subsequent processing.

[0445] Input: User-entered text information about the legal issue.

[0446] Output: Legal issues and questions in text format.

[0447] Step 2:

[0448] The terminal encrypts the input data and sends it to the server using a secure communication protocol (e.g., HTTPS), ensuring that the user's input information is transmitted securely to the server.

[0449] Input: Text information entered by the user.

[0450] Output: Encrypted text information.

[0451] Step 3:

[0452] The server decrypts the received encrypted data and passes it to a generative AI model for information analysis. The generative AI model uses natural language processing (NLP) technology to extract important keywords and the intent of the question from the text information. For example, it extracts important keywords such as "divorce" and "child custody."

[0453] Input: Encrypted text information (after it is decrypted).

[0454] Output: Extracted keywords and question intent.

[0455] Step 4:

[0456] In parallel, the server passes the user's input information to the emotion engine for emotion analysis. Emotion analysis identifies emotions such as "anxiety" or "anger" from the input text. In this case, the emotion "worry" is extracted.

[0457] Input: User's text information.

[0458] Output: Identified emotion (e.g., "worry").

[0459] Step 5:

[0460] The generative AI model searches legal databases based on the analyzed keywords, intent, and emotion information to obtain relevant legal information, such as "legal information regarding child custody in divorce cases" from the Six Codes and case law databases.

[0461] Input: Extracted keywords and sentiment information.

[0462] Output: Relevant legal information.

[0463] Step 6:

[0464] The generative AI model generates appropriate legal advice in response to user questions based on the acquired legal and emotional information. For example, it might generate an answer like, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but the court often makes the final decision. We understand that you may be worried, but it's important to remain calm."

[0465] Input: Relevant legal and emotional information.

[0466] Output: The generated legal advice.

[0467] Step 7:

[0468] The server then re-encrypts the generated legal advice and sends it to the device, thereby protecting the user's privacy.

[0469] Input: Generated legal advice.

[0470] Output: Encrypted legal advice.

[0471] Step 8:

[0472] The device then decrypts the received encrypted data and visually displays it to the user, specifically showing the generated legal advice in chat or card format.

[0473] Input: Encrypted legal advice (after being decrypted).

[0474] Output: The legal advice that is displayed to the user.

[0475] Step 9:

[0476] Based on the generated answer, the server generates specific action steps for the user and sends them to the terminal. For example, the server generates an action step such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0477] Input: Generated legal advice.

[0478] Output: Specific action steps.

[0479] Step 10:

[0480] The device then displays the received specific action steps to the user, allowing the user to understand the specific next steps and take appropriate action.

[0481] Input: Specific action steps.

[0482] Output: Specific action steps displayed to the user.

[0483] Through the above steps, the present invention realizes a system that provides prompt and appropriate legal advice while also taking into consideration the user's feelings.

[0484] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0485] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0486] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0487] [Second embodiment]

[0488] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0489] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0490] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0491] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0492] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0493] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0494] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0495] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0496] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0497] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0498] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0499] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0500] The present invention is an online tool that allows users to solve legal problems easily and inexpensively. The program processing of the system of the present invention will be explained below in natural language.

[0501] Overall system overview

[0502] The system includes a terminal where a user can input the circumstances and questions related to the legal issue, a server that receives the information sent from the terminal, a generative AI model for analyzing the information and generating an answer, and a means for generating an answer based on the acquired legal data.

[0503] Explanation of program processing

[0504] 1. User Input

[0505] The user inputs into the terminal the circumstances and questions regarding his / her legal problem, for example, "I'm thinking about getting divorced, but what about child custody?"

[0506] 2. Data Transmission

[0507] The device encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0508] 3. Information analysis

[0509] The server passes the received information to the generative AI model, which uses natural language processing technology to analyze the input information. Specifically, it extracts important keywords and intent from the user's text.

[0510] 4. Data Reference

[0511] Based on the analyzed information, the generative AI model refers to legal databases (such as the Complete Law Collection and related case law data) to obtain appropriate information.

[0512] 5. Answer generation

[0513] The generative AI model uses referenced legal data to generate lawyer-level answers to user questions, such as, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but in many cases the final decision is made by the court."

[0514] 6. Submit your response

[0515] The server re-encrypts the generated answer and sends it to the end user's device, thereby preserving privacy.

[0516] 7. Answer display

[0517] The device then displays the received response to the user, who can then review the specific legal advice. For example, the response may be displayed in chat format or card format.

[0518] 8. Behavioral Lecture

[0519] Based on the generated answer, the server generates specific action instructions for the user, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0520] The terminal displays this action sequence to the user, clearly indicating what to do next.

[0521] Specific examples

[0522] Example 1: Child custody questions during divorce

[0523] User input: "I'm considering divorce, what do you think about child custody?"

[0524] Data transmission: The device encrypts the input information and sends it to the server.

[0525] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords ("divorce," "children," "custody").

[0526] Data reference: The generative AI model references the Six Codes and case law database to search for relevant laws and precedents.

[0527] Answer Generation: Generate the answer, "Child custody during divorce is basically decided by agreement between both parents, but in many cases the final decision is made by the court."

[0528] Send Answer: The server sends the encrypted answer to the device.

[0529] Display Answer: The terminal displays the received answer to the user.

[0530] Action Instruction: The server generates a specific action instruction such as "First, try to reach an agreement between the parties and consult with a lawyer" and sends it to the terminal. The terminal displays it to the user.

[0531] As described above, the present invention makes it possible to realize a system that allows users with legal problems to obtain professional advice quickly and at low cost.

[0532] The processing flow will be explained below.

[0533] Step 1:

[0534] The user uses the terminal to input the situation and question about his / her legal problem, for example, "I'm thinking about getting divorced. What will happen to the custody of my children?"

[0535] Step 2:

[0536] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0537] Step 3:

[0538] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[0539] Step 4:

[0540] The generative AI model uses natural language processing (NLP) techniques to analyze the user's question and context, specifically extracting important keywords and the intent of the question from the input text.

[0541] Step 5:

[0542] The server searches legal databases (such as the Six Codes and related case law data) based on the keywords and intent extracted by the generative AI model. For example, it finds data with keywords such as "divorce" and "child custody."

[0543] Step 6:

[0544] The generative AI model uses the search results to generate legal advice for users' questions. This involves summarizing legal literature and case law to formulate specific answers. For example, it could generate an answer like, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but in many cases the court makes the final decision."

[0545] Step 7:

[0546] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[0547] Step 8:

[0548] The terminal decodes the received answer data and displays it to the user, for example, in a chat format or card format.

[0549] Step 9:

[0550] Based on the generated answer, the server generates specific action instructions for the user and sends them to the terminal, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0551] Step 10:

[0552] The device displays specific steps to the user and provides guidance on what action to take next.

[0553] Through the above processing steps, the system is able to provide users with prompt and accurate legal advice.

[0554] Example 1

[0555] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0556] Conventional legal problem-solving methods are expensive, time-consuming, and difficult for general users without specialized knowledge to use. Furthermore, there are limited ways to obtain quick and accurate answers to legal inquiries. As a result, users are unable to obtain appropriate legal advice, increasing the risk of developing legal trouble. The present invention provides a system that allows users to easily and inexpensively solve legal problems from the comfort of their own home.

[0557] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0558] In this invention, the server includes an information processing device that allows a user to input a situation and a question related to the legal issue, a communication device that receives the information transmitted from the information processing device, a generative AI model for analyzing the information transmitted by the communication device, means for the generative AI model to acquire relevant information from a legal information database, means for the generative AI model to generate an answer based on the acquired relevant information, means for the communication device to transmit the generated answer to the information processing device, means for the information processing device to display the transmitted answer to the user, means for the information processing device to encrypt the input information from the user and transmit it to the communication device, means for the communication device to decrypt the information, means for the communication device to encrypt the generated answer and transmit it to the information processing device, and means for the information processing device to decrypt and display the encrypted answer. This enables users to obtain professional legal advice quickly and at low cost.

[0559] An "information processing device" is a device through which a user inputs circumstances and questions regarding a legal matter.

[0560] A "communication device" is a device that receives information transmitted from an information processing device and analyzes and processes the information.

[0561] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze user input and generate answers based on relevant information retrieved from legal databases.

[0562] A "legal information database" is a database that stores legal data (such as the complete collection of laws, related case law data, etc.).

[0563] The "answer generation means" is a means by which the generative AI model generates an answer to a user's question based on information referenced from the legal information database.

[0564] "Encryption means" refers to a means for encrypting information to protect the information being sent and received from being intercepted by a third party.

[0565] "Decryption means" refers to a means for restoring encrypted information to the original information.

[0566] The "action procedure generation means" is a means for generating a specific action procedure for the user based on the generated answer.

[0567] The "display means" is a means for the information processing device to display the generated answers and action procedures to the user.

[0568] The present invention is an online tool that allows users to easily and inexpensively solve legal problems. The system includes an information processing device that allows users to input the circumstances and questions related to the legal problem, a communication device that receives the transmitted information, a generative AI model for analyzing the information and generating answers, and a means for generating answers based on information obtained from a legal database.

[0569] First, a user inputs the circumstances and questions about their legal issue through an information processing device. For example, the user may ask a specific question such as, "I'm considering divorce. What will happen to child custody?" This question is encrypted by the information processing device using AES encryption technology and sent to a communication device via the HTTPS protocol.

[0570] The communication device then decodes the received information and passes it to a generative AI model, which uses natural language processing techniques to analyze the user's question. For example, a generative AI model like GPT-3 can be used to identify important keywords and intent from the input text. Based on this analysis, relevant information is retrieved from legal databases (such as the Six Codes and related case law data).

[0571] The generative AI model generates an answer to the question based on the acquired relevant information. For example, it may provide an answer such as, "Child custody in divorce cases is generally determined by mutual agreement between the parents, but in many cases the final decision is made by the court." This generated answer is passed to the communication device, where it is re-encrypted and sent to the information processing device. The information processing device then decrypts the answer and displays it to the user.

[0572] Based on the generated answer, the communication device generates a specific action procedure for the user. For example, the communication device indicates specific steps such as "first, try to reach an agreement between the two parties" or "consult with a lawyer." This action procedure is also displayed to the user via the information processing device.

[0573] As a specific example, consider the case where a user inputs the question, "I'm thinking about getting divorced. Can you tell me about child custody?" In this case, the information processing device encrypts the input information and sends it to the communication device. The communication device decrypts the information and passes it to the generative AI model. The generative AI model references a relevant legal database and generates the answer, "Child custody in divorce cases is basically determined by agreement between both parents, but in many cases the final decision is made by the court." The communication device encrypts this answer and sends it to the information processing device, which decrypts the answer and displays it to the user. The communication device also generates an action procedure, such as "First, try to reach an agreement between the two parties and consult with a lawyer," and displays it to the user via the information processing device.

[0574] Thus, the present invention allows users to obtain professional advice on legal issues quickly and at low cost.

[0575] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0576] Step 1: User Input

[0577] Input: The user uses an information processing device to input the circumstances and questions regarding the legal issue.

[0578] Specific operation: The user inputs a specific question into the information processing device: "I'm thinking about getting divorced. What will happen to the custody of my children?"

[0579] Output: Question data entered by the user

[0580] Step 2: Data Encryption

[0581] Input: Question data entered by the user

[0582] Specific operation: The information processing device encrypts the input question data using AES encryption technology.

[0583] Output: Encrypted question data

[0584] Step 3: Send data

[0585] Input: Encrypted question data

[0586] Specific operations: The information processing device transmits the encrypted question data to the communication device using the HTTPS protocol.

[0587] Output: Encrypted question data sent to communication device

[0588] Step 4: Data Decryption

[0589] Input: Encrypted question data sent to communications device

[0590] Specific operations: The communication device decrypts the encrypted question data.

[0591] Output: Decoded question data

[0592] Step 5: Data analysis

[0593] Input: Decoded question data

[0594] How it works: The communication device passes the decoded question data to the generative AI model, which then analyzes the data using natural language processing techniques. For example, GPT-3 extracts important keywords from the question (e.g., "divorce," "children," and "custody").

[0595] Output: Extracted keywords and analytics data

[0596] Step 6: Legal Data Reference

[0597] Input: Extracted keywords and analysis data

[0598] How it works: The generative AI model searches the legal database based on the extracted keywords to obtain relevant legal and case law information.

[0599] Output: Retrieved law and related case law information

[0600] Step 7: Answer Generation

[0601] Input: Obtained law and related case law information

[0602] Specific operation: The generative AI model generates an answer to the user's question based on the acquired information. For example, it generates an answer such as, "Child custody in divorce cases is generally determined by the agreement of both parents, but in many cases the final decision is made by the court."

[0603] Output: The generated legal answer

[0604] Step 8: Encrypt the answer

[0605] Input: Generated legal response

[0606] Specific operations: The communication device encrypts the generated response again using AES encryption technology.

[0607] Output: Encrypted legal answer

[0608] Step 9: Submit your response

[0609] Input: Encrypted Legal Response

[0610] Specific operations: The communication device transmits the encrypted legal response to the information processing device using the HTTPS protocol.

[0611] Output: Encrypted legal response sent to information processing device

[0612] Step 10: Decrypt the answer

[0613] Input: Encrypted legal response sent to information processing device

[0614] Specific operations: The information processing device decrypts the encrypted legal response.

[0615] Output: Decrypted legal answer

[0616] Step 11: Display answers

[0617] Input: Decrypted legal response

[0618] Specific operation: The information processing device displays the decrypted legal answer to the user, for example, in a chat format or a card format.

[0619] Output: The legal answer displayed to the user

[0620] Step 12: Action procedure generation

[0621] Input: Decrypted legal response

[0622] Specific Action: The communication device generates specific action steps for the user based on the generated answer, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0623] Output: Generated concrete action steps

[0624] Step 13: Send and view action steps

[0625] Input: Generated specific action steps

[0626] Specific operation: The communication device transmits the generated action procedure to the information processing device, which then displays it to the user.

[0627] Output: Specific action steps displayed to the user

[0628] (Application example 1)

[0629] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0630] In today's world, it is important for users to receive prompt and accurate advice when they face legal issues. However, directly consulting with a lawyer with legal expertise can be a significant burden in terms of cost and time. In particular, when it comes to contracts and commitments related to electronic payment services, it is necessary to quickly assess legal risks and take appropriate measures, but there is a lack of tools to do so. The present invention aims to solve these problems and provide a system that allows users to easily and inexpensively resolve legal issues related to electronic payments.

[0631] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0632] In this invention, the server includes a terminal that allows a user to input a situation and a question related to the legal issue, a means for receiving information transmitted from the terminal, a generative AI model for analyzing the information, a means for the generative AI model to acquire relevant information from a legal database, a means for the generative AI model to generate an answer based on the acquired relevant information, a means for the server to transmit the generated answer to the terminal, a means for the terminal to display the transmitted answer to the user, and a means for the terminal to lecture the user on specific steps to take in response to the answer, thereby enabling the user to quickly assess legal risks and receive legal advice regarding electronic payments.

[0633] A "user" is an entity that utilizes the system and inputs circumstances and questions regarding legal matters.

[0634] A "terminal" is a device that a user uses to enter and transmit to a server the circumstances and questions regarding their legal matter.

[0635] A "server" is a device that receives information sent from a terminal, analyzes it using a generative AI model, and generates an answer.

[0636] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze user input, retrieve relevant information from legal databases, and generate answers based on this.

[0637] A "legal database" is a database that contains information about the law, such as the complete collection of laws and related case law data.

[0638] "Relevant information" is information obtained from legal databases that is necessary to resolve a user's legal problem.

[0639] The "answer generation means" is a function that generates answers to user questions based on related information acquired by the generative AI model.

[0640] The "means for lecturing on action steps" is a function that presents specific action steps for the user's legal situation based on the generated answers.

[0641] "Electronic Payments" refers to financial transactions conducted by users online, including the legal risks associated with contracts and commitments.

[0642] The present invention is a system that allows users to input their legal situation and questions and instantly receive professional advice. This system evaluates the user's legal risk and provides legal advice regarding electronic payments. The specific configuration and operation of the system are described below.

[0643] System configuration

[0644] The system consists of a "terminal" used by the user, a "server" that processes the data, a "generative AI model" that analyzes legal information, and a "legal database" that stores legal data.

[0645] Hardware and software used

[0646] 1. Terminal

[0647] Mobile devices such as smartphones and tablets.

[0648] It allows users to enter their legal situation and questions and receive answers.

[0649] 2. Server

[0650] Cloud-based servers (e.g., Amazon Web Services, Microsoft Azure)

[0651] It analyzes the information received from the user and runs a generative AI model.

[0652] 3. Generative AI Models

[0653] Models using Transformer, a natural language processing technology (e.g., OpenAI GPT)

[0654] It parses user input, retrieves appropriate information from legal databases, and generates an answer.

[0655] 4. Legal Database

[0656] A database containing the complete collection of laws, related case law data, and other legal resources.

[0657] A data source from which a generative AI model obtains relevant information.

[0658] Data processing and calculation

[0659] User input: The user uses a terminal to enter a specific question, such as "What are the risks of this contract?"

[0660] Data transmission: The device encrypts the entered question and sends it to the server using a secure communication protocol (such as HTTPS).

[0661] Information analysis: The server passes the received question to a generative AI model, which analyzes it using natural language processing technology. Specifically, it extracts important keywords and intent from the user's question.

[0662] Data lookup: The generative AI model consults legal databases based on the analyzed information to obtain relevant legal information and precedents.

[0663] Answer generation: The generative AI model uses the acquired legal information to generate specific answers to the user's questions, such as "This contract involves the following risks..."

[0664] Sending the answer: The server re-encrypts the generated answer and sends it to the user's device.

[0665] Displaying answers: The user's device displays the received answers and provides legal advice to the user, often in chat or card format.

[0666] Action steps: Based on the generated answer, the server also gives the user specific action steps, such as "First, try to reach an agreement between the two parties."

[0667] Specific examples

[0668] Specific examples of prompt sentences are shown below.

[0669] User Questions:

[0670] "What are the risks of this contract?"

[0671] Legal Data:

[0672] "The following risks exist with respect to the contract: (Enter detailed risk data here)"

[0673] Detailed answer:

[0674] "Generated answer: Contracts carry the following risks. For example, if there is no cooling-off period after signing the contract, it will be very difficult to cancel. There may also be additional costs hidden in the terms of the contract..."

[0675] In this way, users can assess legal risks in real time and obtain appropriate legal advice regarding electronic payments.

[0676] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0677] Step 1:

[0678] The user uses a terminal to input the situation and question about the legal issue, for example, "What risks does this contract entail?" This input becomes the initial data for the system.

[0679] Step 2:

[0680] The device encrypts the entered question and sends it to the server using a secure communication protocol (such as HTTPS), thereby protecting the user's privacy.

[0681] Step 3:

[0682] The server decrypts the received encrypted data and passes it to the generative AI model, converting the data format to make it analyzable for the user's question.

[0683] Step 4:

[0684] The generative AI model uses natural language processing technology to analyze the user's question. Specifically, it extracts key keywords and intent from the question text. The results of this analysis are stored as internal data.

[0685] Step 5:

[0686] Based on the analysis results, the generative AI model refers to a legal database. Specifically, it searches for legal information and precedents related to the keywords to obtain the necessary data. This obtained data becomes the basis for generation in the next step.

[0687] Step 6:

[0688] The generative AI model uses the acquired legal data to generate specific answers to user questions, such as text in the form "This contract involves the following risks..."

[0689] Step 7:

[0690] The server then re-encrypts the generated answer and sends it to the user's device using a secure communication protocol, ensuring data security.

[0691] Step 8:

[0692] The device decrypts the received encrypted data and displays it to the user in a chat or card format that is easy for the user to understand intuitively.

[0693] Step 9:

[0694] Based on the generated answer, the server also generates specific action steps for the user, such as "First, try to reach an agreement between the two parties."

[0695] Step 10:

[0696] The device displays this action plan to the user and guides them through the specific next steps, allowing them to quickly take appropriate legal action.

[0697] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0698] The present invention is an online tool that allows users to solve legal problems easily and inexpensively, and further includes a function that recognizes the user's emotions and reflects them in generating answers. Below, the program processing of the system of the present invention will be specifically explained in natural language.

[0699] Overall system overview

[0700] The system includes a terminal on which a user can input the circumstances and questions related to the legal issue, a server that receives information sent from the terminal, a generative AI model for analyzing the information and generating answers, a means for generating answers based on the acquired legal data, an emotion engine, and a means for reflecting the acquired emotion data in generating answers.

[0701] Explanation of program processing

[0702] 1. User Input

[0703] The user inputs into the terminal the circumstances and questions about his or her legal problem, for example, "I'm thinking about getting divorced. What will happen to my child custody?"

[0704] 2. Data Transmission

[0705] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0706] 3. Information analysis

[0707] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[0708] 4. Analysis using natural language processing

[0709] The generative AI model uses natural language processing (NLP) techniques to extract important keywords and the intent of the question from the input text.

[0710] 5. Emotion analysis using an emotion engine

[0711] The server then passes the user's input to the emotion engine in parallel. The emotion engine analyzes the user's input to determine emotions. For example, it determines whether the user's text contains emotions such as "anxiety" or "anger."

[0712] 6. Data Reference

[0713] The generative AI model searches legal databases (such as the Complete Law Collection and related case law data) based on the analyzed keywords and intent to obtain relevant information.

[0714] 7. Answer generation

[0715] The generative AI model generates legal advice for users' questions based on the acquired legal data and emotional information from the emotion engine. For example, in addition to the answer "Child custody in divorce cases is generally determined by the agreement of both parents, but in many cases the final decision is made by the court," it generates additional advice that takes the user's emotions into account.

[0716] 8. Submit your response

[0717] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[0718] 9. Answer display

[0719] The terminal decodes the received answer data and displays it to the user, for example, in a chat format or card format.

[0720] 10. Behavioral Lecture

[0721] Based on the generated answer, the server generates specific action instructions for the user and sends them to the terminal, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0722] The device displays specific steps to the user and provides guidance on what action to take next.

[0723] Specific examples

[0724] Example 1: Child custody and emotional questions during divorce

[0725] User Type: "I'm considering divorce and am very concerned about child custody."

[0726] Data transmission: The device encrypts the input information and sends it to the server.

[0727] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords (e.g., "divorce," "child custody").

[0728] Emotion analysis: The server analyzes the user's emotions using an emotion engine and identifies the emotion "worry."

[0729] Data reference: The generative AI model references the Six Codes and case law database to search for relevant laws and precedents.

[0730] Answer generation: Generates the answer, "Child custody during divorce is basically decided by agreement between both parents, but in many cases the final decision is made by the court. First, try to discuss the matter calmly."

[0731] Send Answer: The server sends the encrypted answer to the device.

[0732] Display Answer: The terminal displays the received answer to the user.

[0733] Action Instruction: The server generates a specific action instruction such as "First, try to reach an agreement between the two parties, and then consult with an expert to resolve any concerns," and sends it to the device. The device then displays it to the user.

[0734] Through the above process, the system can provide prompt and accurate legal advice while taking into consideration the user's feelings, allowing the user to take measures to address legal issues with peace of mind.

[0735] The processing flow will be explained below.

[0736] Step 1:

[0737] The user uses the terminal to input the situation and question about his / her legal problem, for example, "I'm thinking about getting divorced. What will happen to the custody of my children?"

[0738] Step 2:

[0739] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0740] Step 3:

[0741] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[0742] Step 4:

[0743] The generative AI model uses natural language processing (NLP) techniques to extract key keywords and question intent from the input text, such as "divorce," "children," and "custody."

[0744] Step 5:

[0745] The server then passes the input to the emotion engine in parallel. The emotion engine analyzes the user's input to determine emotions. Specifically, it determines whether the user's text contains emotions such as "anxiety" or "anger."

[0746] Step 6:

[0747] The generative AI model searches legal databases (such as the Six Codes and related case law data) based on the extracted keywords and intent, and in the process of finding relevant information, identifies specific provisions and case law.

[0748] Step 7:

[0749] The generative AI model generates legal advice for the user's question based on the search results. It also takes into account emotional information obtained from the emotion engine to form the answer. For example, if the user expresses the emotion "worried," the model generates additional advice that reflects that emotion, such as "First, try to discuss the matter calmly."

[0750] Step 8:

[0751] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[0752] Step 9:

[0753] The device decodes the received response data and displays it to the user. For example, the device may display the response in a chat format or card format, providing the user with information in a format that is easy to understand.

[0754] Step 10:

[0755] Based on the generated answer, the server generates specific action steps for the user and sends them to the device. For example, the steps might be, "First, try to reach an agreement between the two parties and consult with a lawyer." If the emotional information is "worried," the server might also include an action such as, "Consult with a specialist to resolve your anxiety."

[0756] Step 11:

[0757] The device displays specific steps to the user and provides guidance on what action to take next, allowing the user to take the next step according to this guidance.

[0758] Through the above processing steps, the system is able to provide prompt and accurate legal advice while also taking into consideration the user's feelings.

[0759] Example 2

[0760] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0761] Conventional online legal support systems do not take users' feelings into consideration, so the advice they provide is mechanical and does not adequately alleviate users' mental anxieties and concerns. Furthermore, they lack the functionality to provide specific action steps, making it difficult for users to obtain specific guidance on what to do next.

[0762] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a generative model for the receiving device to analyze the information, a means for the generative model to acquire related information from a database, and a means for the generative model to generate an answer based on the acquired related information and emotion data. This makes it possible to generate specific and accurate legal advice while taking the user's emotions into consideration, and also provide specific guidelines for the user's next actions.

[0763] An "input device" is a device that allows a user to input information or questions about a legal issue.

[0764] The "receiving device" is a device for receiving information transmitted from the input device.

[0765] A "generative model" is a model for analyzing information received by a receiving device, acquiring related information, and generating an answer.

[0766] "Database" means data storage for accumulating and managing information, including legal information and related precedents.

[0767] "Emotion data" is emotion information analyzed based on the user's input, and is reflected in answer generation.

[0768] An "emotion engine" is a device or software that analyzes emotions from user input.

[0769] An "answer" is legal advice or instructions generated by a generative model based on relevant information and sentiment data.

[0770] An "action step" is a means of providing guidance to a user on the specific next action they should take.

[0771] The present invention is an online tool that allows users to solve legal problems easily and inexpensively, and also a system that includes a function to recognize the user's emotions and reflect them in generating answers.

[0772] This system consists of the following hardware and software components:

[0773] 1. Input Device (Terminal)

[0774] A device that allows users to input information and questions about legal issues, such as PCs, smartphones, tablets, etc. Terminals are equipped with input interfaces such as keyboards and touchscreens.

[0775] 2. Receiving device (server)

[0776] A device that receives information sent from a terminal and analyzes and processes it. It uses the HTTPS protocol to ensure communication security. The server requires a high-performance CPU and sufficient memory and storage.

[0777] 3. Generative Models (Generative AI Models)

[0778] This model uses natural language processing (NLP) techniques to analyze user input, retrieve relevant information from a database, and generate legal advice. This generative AI model uses large-scale language models such as BERT and GPT.

[0779] 4. Database

[0780] This database is used to store and manage legal information and related legal precedents, including the Six Codes and related legal precedent databases. This database is built using database management systems such as SQL and NoSQL.

[0781] 5. Emotion Engine

[0782] This is a device or software that analyzes emotions from user input using emotion recognition algorithms. For example, it can identify emotions such as "anxiety" or "worry" from user input.

[0783] 6. Action procedure generation method

[0784] This is a means for generating specific next steps for the user based on the generated legal advice and sending them to the terminal, so that the system can recommend specific actions to the user.

[0785] First, a user uses an input device to input a question about a legal issue. For example, they might input a question like, "I'm considering divorce. What will happen to child custody?" The device then encrypts the input information and sends it to a server. The server then passes the received information to a generative AI model, which begins analyzing it. The generative AI model uses natural language processing technology to analyze the user's input and extract important keywords and the intent of the question.

[0786] In parallel, the server passes the user's input to the emotion engine for emotion analysis. The emotion engine identifies emotions such as "worry" or "anxiety" from the user's input. The generative AI model retrieves relevant information from a legal database based on the analyzed keywords and intent. The generative AI model then combines the retrieved legal data and emotion information to generate legal advice for the user.

[0787] The generated advice is returned to the server, where it is re-encrypted and sent to the device. The device then decrypts the received answer data and displays it to the user in a format that is easy for the user to understand, such as a chat or card format.

[0788] Finally, the server generates specific action steps based on the generated answers and sends them to the terminal, which displays them to the user and provides specific guidance on what the user should do next, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0789] Specific examples

[0790] Example prompt: "I'm considering divorce, but I'm very concerned about child custody."

[0791] Example of operation

[0792] Example 1: Child custody and emotional questions during divorce

[0793] User input: Typed into the terminal, "I'm considering divorce, but I'm very concerned about child custody."

[0794] Data transmission: The device encrypts the input information and sends it to the server.

[0795] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords ("divorce," "child custody").

[0796] Emotion analysis: The server analyzes the user's emotions using an emotion engine and identifies the emotion "worry."

[0797] Data reference: The generative AI model refers to the Six Codes and case law database to search for relevant laws and precedents.

[0798] Answer generation: The generative AI model generated the answer, "Child custody in the event of divorce is generally determined by agreement between both parents, but in many cases the final decision is made by the court," along with advice that took the user's concerns into consideration.

[0799] Send Answer: The server sends the encrypted answer to the device.

[0800] Display Answer: The device displays the received answer to the user.

[0801] Action Instruction: The server generates a specific action instruction, such as "First, try to reach an agreement between the two parties, and then consult with an expert to resolve any concerns," and sends it to the device. The device then displays it to the user.

[0802] This system makes it possible to provide prompt and accurate legal advice while taking into consideration the user's feelings, allowing the user to take measures to address legal issues with peace of mind.

[0803] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0804] Step 1: User Input

[0805] How it works: The user types a question or situation into the device. For example, "I'm considering divorce. What happens to child custody?"

[0806] Input: The question or situation entered by the user.

[0807] Data processing and calculation: The terminal formats the text entered by the user.

[0808] Output: The formatted user input.

[0809] Step 2: Send data

[0810] How it works: The device encrypts the information entered and sends it to the server using the HTTPS protocol.

[0811] Input: Formatted user input.

[0812] Data processing and calculation: The terminal processes the input information using an encryption algorithm.

[0813] Output: The encrypted user input.

[0814] Step 3: Receiving information

[0815] How it works: The server receives encrypted information from the device.

[0816] Input: Encrypted user input.

[0817] Data processing and calculation: The server decrypts the received data.

[0818] Output: The decrypted user input.

[0819] Step 4: Information analysis

[0820] How it works: The server passes the decoded information to the generative AI model.

[0821] Input: The decrypted user input.

[0822] Data processing and calculation: The server specifies the input information as prompts for the generative AI model.

[0823] Output: Data ready for analysis.

[0824] Step 5: Natural Language Processing Analysis

[0825] How it works: The generative AI model uses natural language processing (NLP) techniques to parse the input text and extract key keywords and the intent of the question.

[0826] Input: Data ready for analysis.

[0827] Data processing and calculation: The generative AI model applies text analysis algorithms to extract keywords and intent.

[0828] Output: Extracted keywords and question intent.

[0829] Step 6: Emotion analysis using the emotion engine

[0830] How it works: The server analyzes the user's emotions in parallel with the emotion engine, which extracts emotional information from the user's input text.

[0831] Input: The decrypted user input.

[0832] Data processing and calculation: The server applies emotion analysis algorithms to identify the user's emotions.

[0833] Output: Data about user emotions.

[0834] Step 7: Data Reference

[0835] How it works: The generative AI model searches legal databases based on extracted keywords and intent to retrieve relevant information.

[0836] Input: Extracted keywords and question intent.

[0837] Data processing and computation: The generative AI model generates database queries and searches against legal databases.

[0838] Output: The retrieved legal data.

[0839] Step 8: Answer Generation

[0840] How it works: The generative AI model combines acquired legal data and emotional information to generate legal advice.

[0841] Input: Obtained legal data and user sentiment data.

[0842] Data processing and calculation: The generative AI model integrates this information and generates optimal legal advice for the user.

[0843] Output: The generated legal advice.

[0844] Step 9: Submit your response

[0845] How it works: The server encrypts the generated answer and sends it to the device.

[0846] Input: Generated legal advice.

[0847] Data processing and calculation: The server processes the legal advice using encryption algorithms.

[0848] Output: Encrypted legal advice.

[0849] Step 10: Display answers

[0850] Operation: The device decodes the received response data and displays it to the user in chat or card format.

[0851] Input: Encrypted legal advice.

[0852] Data processing and calculation: The device applies a decoding algorithm to decrypt the data.

[0853] Output: Decoded legal advice.

[0854] Step 11: Behavioral Lectures

[0855] Operation: The server generates specific action steps based on the generated answers and sends them to the terminal, which displays them to the user.

[0856] Input: Generated legal advice.

[0857] Data processing and calculation: The server applies the action procedure generation algorithm to create a specific action plan.

[0858] Output: Specific action steps generated.

[0859] (Application example 2)

[0860] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0861] In modern society, there are increasing opportunities to face legal problems, and there is a need to deal with them early without consulting an expert. However, users often lack legal knowledge and find it difficult to find an appropriate solution. Furthermore, feelings of anxiety and anger about legal issues can build up, making it difficult to make calm decisions. In such situations, a system is needed that allows users to easily obtain legal advice and receive advice that takes their emotions into consideration, allowing them to approach problem-solving with peace of mind.

[0862] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a terminal into which a user can input the circumstances and questions related to the legal issue, means for receiving information transmitted from the terminal, a generative AI model for analyzing the information, means for the generative AI model to acquire relevant information from a legal database, means for the generative AI model to generate an answer based on the acquired relevant information, means for the generative AI model to analyze emotions from the user's input and generate an answer taking emotions into consideration, means for the server to transmit the generated answer to the terminal, means for the terminal to display the transmitted answer to the user, and means for the server to present specific action steps to the user based on the generated answer. This allows users, even if they lack legal knowledge, to receive appropriate and emotionally sensitive advice, enabling them to deal with problems with confidence.

[0863] "User input" refers to information that a user inputs into a terminal in text form regarding circumstances and questions related to a legal issue.

[0864] A "terminal" is a device that allows a user to input information and send it to a server, and typically refers to a smartphone or computer.

[0865] "Server" refers to a central processing unit that receives information sent by users, analyzes that information, and generates a response.

[0866] A "generative AI model" refers to a model that uses artificial intelligence technology to analyze and generate answers based on user input information.

[0867] "Legal database" refers to data storage containing legal information such as the Complete Law Collection and case law data.

[0868] "Relevant Information" refers to the legal data that the generative AI model retrieves from legal databases to generate answers to legal questions.

[0869] "Emotion analysis" refers to the process of reading emotions from user input information and identifying those emotions.

[0870] "Specific action steps" refer to steps for instructing the user on the specific action to be taken next based on the generated answer.

[0871] "Answer" refers to the legal advice or counsel that a generative AI model generates based on its analysis and data acquisition.

[0872] "Presenting" refers to displaying the generated answer and specific action steps to the user and explicitly showing them to the user.

[0873] "Transmission means" refers to a communication means by which the server sends the generated response back to the terminal.

[0874] "Display" refers to visually showing the generated answers and action steps on the user's terminal.

[0875] The present invention provides a system for providing prompt and emotionally sensitive legal advice to users when they are faced with a legal problem. Specific embodiments for implementing this system will be described below.

[0876] Overall system configuration

[0877] The system includes a terminal through which a user inputs a situation and question regarding a legal issue, a server that receives information transmitted from the terminal, a generative AI model that analyzes the information and generates an answer, an emotion engine that performs emotion analysis, a legal database, means for transmitting the generated answer to the terminal, and means for displaying the transmitted answer to the user.

[0878] Hardware and Software Configuration

[0879] Hardware

[0880] User terminal: A device, such as a smartphone or computer, through which a user inputs and transmits information.

[0881] Server: A central processing unit that receives information sent by users, analyzes it, and generates responses.

[0882] software

[0883] Communication protocol: Data is communicated between the user terminal and the server using a secure communication protocol such as HTTPS.

[0884] Natural language processing engine: The core part of a generative AI model, this technology analyzes text information entered by the user and extracts important keywords and the intent of the question.

[0885] Emotion engine: Technology that analyzes emotions from user input text and identifies emotions such as "anxiety" or "anger."

[0886] Legal database: Data storage for legal information, such as the complete collection of laws and case law databases.

[0887] Generative AI model: A model that uses information from the natural language processing engine and sentiment engine to refer to a legal database and generate appropriate legal advice.

[0888] System Operation Overview

[0889] 1. User Input

[0890] The user enters the situation and question about the legal issue into the terminal in text format, for example, "I am considering divorce and am very concerned about child custody."

[0891] 2. Data Transmission

[0892] The terminal encrypts the input data and sends it to the server using HTTPS.

[0893] 3. Information and sentiment analysis

[0894] The server passes the received information to the generative AI model for information analysis. At the same time, it passes the information to the emotion engine to analyze the user's emotions. For example, the emotion "worry" is extracted.

[0895] 4. Data reference and answer generation

[0896] The generative AI model uses the analyzed information to refer to a legal database to obtain relevant legal information, and then generates appropriate legal advice based on the obtained information and the results of sentiment analysis.

[0897] 5. Present answers and action steps

[0898] The server re-encrypts the generated answer and sends it to the terminal, which then displays the received answer to the user and provides specific action instructions and guidance on the next steps to take.

[0899] Specific examples

[0900] For example, if a user enters "I was fired, but I'm worried that it was unfair," the system will first recognize the emotion as "anxiety," retrieve relevant legal information, and generate an appropriate response: "You may have been fired unfairly. In accordance with the Labor Standards Act, we recommend that you consult a lawyer and report this to the Labor Bureau. It's natural to be worried, but first gather evidence and deal with the situation calmly."

[0901] Prompt Sentence Examples

[0902] Below are some example prompts that can be input to a generative AI model:

[0903] User Question: "I'm considering divorce, but I'm very concerned about child custody."

[0904] Emotion: "Worry"

[0905] Generate sound legal advice.

[0906] As a result, the present invention provides a system that allows users to receive prompt and emotionally sensitive advice on legal issues, helping to resolve problems while reducing anxiety.

[0907] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0908] Step 1:

[0909] The user inputs the situation and questions about the legal issue into a device. Specifically, the user inputs a question in text format using a device such as a smartphone or computer, such as "I'm considering divorce and I'm very concerned about child custody." This input becomes the basis for subsequent processing.

[0910] Input: User-entered text information about the legal issue.

[0911] Output: Legal issues and questions in text format.

[0912] Step 2:

[0913] The terminal encrypts the input data and sends it to the server using a secure communication protocol (e.g., HTTPS), ensuring that the user's input information is transmitted securely to the server.

[0914] Input: Text information entered by the user.

[0915] Output: Encrypted text information.

[0916] Step 3:

[0917] The server decrypts the received encrypted data and passes it to a generative AI model for information analysis. The generative AI model uses natural language processing (NLP) technology to extract important keywords and the intent of the question from the text information. For example, it extracts important keywords such as "divorce" and "child custody."

[0918] Input: Encrypted text information (after it is decrypted).

[0919] Output: Extracted keywords and question intent.

[0920] Step 4:

[0921] In parallel, the server passes the user's input information to the emotion engine for emotion analysis. Emotion analysis identifies emotions such as "anxiety" or "anger" from the input text. In this case, the emotion "worry" is extracted.

[0922] Input: User's text information.

[0923] Output: Identified emotion (e.g., "worry").

[0924] Step 5:

[0925] The generative AI model searches legal databases based on the analyzed keywords, intent, and emotion information to obtain relevant legal information, such as "legal information regarding child custody in divorce cases" from the Six Codes and case law databases.

[0926] Input: Extracted keywords and sentiment information.

[0927] Output: Relevant legal information.

[0928] Step 6:

[0929] The generative AI model generates appropriate legal advice in response to user questions based on the acquired legal and emotional information. For example, it might generate an answer like, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but the court often makes the final decision. We understand that you may be worried, but it's important to remain calm."

[0930] Input: Relevant legal and emotional information.

[0931] Output: The generated legal advice.

[0932] Step 7:

[0933] The server then re-encrypts the generated legal advice and sends it to the device, thereby protecting the user's privacy.

[0934] Input: Generated legal advice.

[0935] Output: Encrypted legal advice.

[0936] Step 8:

[0937] The device then decrypts the received encrypted data and visually displays it to the user, specifically showing the generated legal advice in chat or card format.

[0938] Input: Encrypted legal advice (after being decrypted).

[0939] Output: The legal advice that is displayed to the user.

[0940] Step 9:

[0941] Based on the generated answer, the server generates specific action steps for the user and sends them to the terminal. For example, the server generates an action step such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0942] Input: Generated legal advice.

[0943] Output: Specific action steps.

[0944] Step 10:

[0945] The device then displays the received specific action steps to the user, allowing the user to understand the specific next steps and take appropriate action.

[0946] Input: Specific action steps.

[0947] Output: Specific action steps displayed to the user.

[0948] Through the above steps, the present invention realizes a system that provides prompt and appropriate legal advice while also taking into consideration the user's feelings.

[0949] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0950] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0951] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0952] [Third embodiment]

[0953] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0954] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0955] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0956] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0957] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0958] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0959] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0960] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0961] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0962] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0963] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0964] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0965] The present invention is an online tool that allows users to solve legal problems easily and inexpensively. The program processing of the system of the present invention will be explained below in natural language.

[0966] Overall system overview

[0967] The system includes a terminal where a user can input the circumstances and questions related to the legal issue, a server that receives the information sent from the terminal, a generative AI model for analyzing the information and generating an answer, and a means for generating an answer based on the acquired legal data.

[0968] Explanation of program processing

[0969] 1. User Input

[0970] The user inputs into the terminal the circumstances and questions regarding his / her legal problem, for example, "I'm thinking about getting divorced, but what about child custody?"

[0971] 2. Data Transmission

[0972] The device encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0973] 3. Information analysis

[0974] The server passes the received information to the generative AI model, which uses natural language processing technology to analyze the input information. Specifically, it extracts important keywords and intent from the user's text.

[0975] 4. Data Reference

[0976] Based on the analyzed information, the generative AI model refers to legal databases (such as the Complete Law Collection and related case law data) to obtain appropriate information.

[0977] 5. Answer generation

[0978] The generative AI model uses referenced legal data to generate lawyer-level answers to user questions, such as, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but in many cases the final decision is made by the court."

[0979] 6. Submit your response

[0980] The server re-encrypts the generated answer and sends it to the end user's device, thereby preserving privacy.

[0981] 7. Answer display

[0982] The device then displays the received response to the user, who can then review the specific legal advice. For example, the response may be displayed in chat format or card format.

[0983] 8. Behavioral Lecture

[0984] Based on the generated answer, the server generates specific action instructions for the user, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[0985] The terminal displays this action sequence to the user, clearly indicating what to do next.

[0986] Specific examples

[0987] Example 1: Child custody questions during divorce

[0988] User input: "I'm considering divorce, what do you think about child custody?"

[0989] Data transmission: The device encrypts the input information and sends it to the server.

[0990] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords ("divorce," "children," "custody").

[0991] Data reference: The generative AI model references the Six Codes and case law database to search for relevant laws and precedents.

[0992] Answer Generation: Generate the answer, "Child custody during divorce is basically decided by agreement between both parents, but in many cases the final decision is made by the court."

[0993] Send Answer: The server sends the encrypted answer to the device.

[0994] Display Answer: The terminal displays the received answer to the user.

[0995] Action Instruction: The server generates a specific action instruction such as "First, try to reach an agreement between the parties and consult with a lawyer" and sends it to the terminal. The terminal displays it to the user.

[0996] As described above, the present invention makes it possible to realize a system that allows users with legal problems to obtain professional advice quickly and at low cost.

[0997] The processing flow will be explained below.

[0998] Step 1:

[0999] The user uses the terminal to input the situation and question about his / her legal problem, for example, "I'm thinking about getting divorced. What will happen to the custody of my children?"

[1000] Step 2:

[1001] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1002] Step 3:

[1003] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[1004] Step 4:

[1005] The generative AI model uses natural language processing (NLP) techniques to analyze the user's question and context, specifically extracting important keywords and the intent of the question from the input text.

[1006] Step 5:

[1007] The server searches legal databases (such as the Six Codes and related case law data) based on the keywords and intent extracted by the generative AI model. For example, it finds data with keywords such as "divorce" and "child custody."

[1008] Step 6:

[1009] The generative AI model uses the search results to generate legal advice for users' questions. This involves summarizing legal literature and case law to formulate specific answers. For example, it could generate an answer like, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but in many cases the court makes the final decision."

[1010] Step 7:

[1011] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[1012] Step 8:

[1013] The terminal decodes the received answer data and displays it to the user, for example, in a chat format or card format.

[1014] Step 9:

[1015] Based on the generated answer, the server generates specific action instructions for the user and sends them to the terminal, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1016] Step 10:

[1017] The device displays specific steps to the user and provides guidance on what action to take next.

[1018] Through the above processing steps, the system is able to provide users with prompt and accurate legal advice.

[1019] Example 1

[1020] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1021] Conventional legal problem-solving methods are expensive, time-consuming, and difficult for general users without specialized knowledge to use. Furthermore, there are limited ways to obtain quick and accurate answers to legal inquiries. As a result, users are unable to obtain appropriate legal advice, increasing the risk of developing legal trouble. The present invention provides a system that allows users to easily and inexpensively solve legal problems from the comfort of their own home.

[1022] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1023] In this invention, the server includes an information processing device that allows a user to input a situation and a question related to the legal issue, a communication device that receives the information transmitted from the information processing device, a generative AI model for analyzing the information transmitted by the communication device, means for the generative AI model to acquire relevant information from a legal information database, means for the generative AI model to generate an answer based on the acquired relevant information, means for the communication device to transmit the generated answer to the information processing device, means for the information processing device to display the transmitted answer to the user, means for the information processing device to encrypt the input information from the user and transmit it to the communication device, means for the communication device to decrypt the information, means for the communication device to encrypt the generated answer and transmit it to the information processing device, and means for the information processing device to decrypt and display the encrypted answer. This enables users to obtain professional legal advice quickly and at low cost.

[1024] An "information processing device" is a device through which a user inputs circumstances and questions regarding a legal matter.

[1025] A "communication device" is a device that receives information transmitted from an information processing device and analyzes and processes the information.

[1026] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze user input and generate answers based on relevant information retrieved from legal databases.

[1027] A "legal information database" is a database that stores legal data (such as the complete collection of laws, related case law data, etc.).

[1028] The "answer generation means" is a means by which the generative AI model generates an answer to a user's question based on information referenced from the legal information database.

[1029] "Encryption means" refers to a means for encrypting information to protect the information being sent and received from being intercepted by a third party.

[1030] "Decryption means" refers to a means for restoring encrypted information to the original information.

[1031] The "action procedure generation means" is a means for generating a specific action procedure for the user based on the generated answer.

[1032] The "display means" is a means for the information processing device to display the generated answers and action procedures to the user.

[1033] The present invention is an online tool that allows users to easily and inexpensively solve legal problems. The system includes an information processing device that allows users to input the circumstances and questions related to the legal problem, a communication device that receives the transmitted information, a generative AI model for analyzing the information and generating answers, and a means for generating answers based on information obtained from a legal database.

[1034] First, a user inputs the circumstances and questions about their legal issue through an information processing device. For example, the user may ask a specific question such as, "I'm considering divorce. What will happen to child custody?" This question is encrypted by the information processing device using AES encryption technology and sent to a communication device via the HTTPS protocol.

[1035] The communication device then decodes the received information and passes it to a generative AI model, which uses natural language processing techniques to analyze the user's question. For example, a generative AI model like GPT-3 can be used to identify important keywords and intent from the input text. Based on this analysis, relevant information is retrieved from legal databases (such as the Six Codes and related case law data).

[1036] The generative AI model generates an answer to the question based on the acquired relevant information. For example, it may provide an answer such as, "Child custody in divorce cases is generally determined by mutual agreement between the parents, but in many cases the final decision is made by the court." This generated answer is passed to the communication device, where it is re-encrypted and sent to the information processing device. The information processing device then decrypts the answer and displays it to the user.

[1037] Based on the generated answer, the communication device generates a specific action procedure for the user. For example, the communication device indicates specific steps such as "first, try to reach an agreement between the two parties" or "consult with a lawyer." This action procedure is also displayed to the user via the information processing device.

[1038] As a specific example, consider the case where a user inputs the question, "I'm thinking about getting divorced. Can you tell me about child custody?" In this case, the information processing device encrypts the input information and sends it to the communication device. The communication device decrypts the information and passes it to the generative AI model. The generative AI model references a relevant legal database and generates the answer, "Child custody in divorce cases is basically determined by agreement between both parents, but in many cases the final decision is made by the court." The communication device encrypts this answer and sends it to the information processing device, which decrypts the answer and displays it to the user. The communication device also generates an action procedure, such as "First, try to reach an agreement between the two parties and consult with a lawyer," and displays it to the user via the information processing device.

[1039] Thus, the present invention allows users to obtain professional advice on legal issues quickly and at low cost.

[1040] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1041] Step 1: User Input

[1042] Input: The user uses an information processing device to input the circumstances and questions regarding the legal issue.

[1043] Specific operation: The user inputs a specific question into the information processing device: "I'm thinking about getting divorced. What will happen to the custody of my children?"

[1044] Output: Question data entered by the user

[1045] Step 2: Data Encryption

[1046] Input: Question data entered by the user

[1047] Specific operation: The information processing device encrypts the input question data using AES encryption technology.

[1048] Output: Encrypted question data

[1049] Step 3: Send data

[1050] Input: Encrypted question data

[1051] Specific operations: The information processing device transmits the encrypted question data to the communication device using the HTTPS protocol.

[1052] Output: Encrypted question data sent to communication device

[1053] Step 4: Data Decryption

[1054] Input: Encrypted question data sent to communications device

[1055] Specific operations: The communication device decrypts the encrypted question data.

[1056] Output: Decoded question data

[1057] Step 5: Data analysis

[1058] Input: Decoded question data

[1059] How it works: The communication device passes the decoded question data to the generative AI model, which then analyzes the data using natural language processing techniques. For example, GPT-3 extracts important keywords from the question (e.g., "divorce," "children," and "custody").

[1060] Output: Extracted keywords and analytics data

[1061] Step 6: Legal Data Reference

[1062] Input: Extracted keywords and analysis data

[1063] How it works: The generative AI model searches the legal database based on the extracted keywords to obtain relevant legal and case law information.

[1064] Output: Retrieved law and related case law information

[1065] Step 7: Answer Generation

[1066] Input: Obtained law and related case law information

[1067] Specific operation: The generative AI model generates an answer to the user's question based on the acquired information. For example, it generates an answer such as, "Child custody in divorce cases is generally determined by the agreement of both parents, but in many cases the final decision is made by the court."

[1068] Output: The generated legal answer

[1069] Step 8: Encrypt the answer

[1070] Input: Generated legal response

[1071] Specific operations: The communication device encrypts the generated response again using AES encryption technology.

[1072] Output: Encrypted legal answer

[1073] Step 9: Submit your response

[1074] Input: Encrypted Legal Response

[1075] Specific operations: The communication device transmits the encrypted legal response to the information processing device using the HTTPS protocol.

[1076] Output: Encrypted legal response sent to information processing device

[1077] Step 10: Decrypt the answer

[1078] Input: Encrypted legal response sent to information processing device

[1079] Specific operations: The information processing device decrypts the encrypted legal response.

[1080] Output: Decrypted legal answer

[1081] Step 11: Display answers

[1082] Input: Decrypted legal response

[1083] Specific operation: The information processing device displays the decrypted legal answer to the user, for example, in a chat format or a card format.

[1084] Output: The legal answer displayed to the user

[1085] Step 12: Action procedure generation

[1086] Input: Decrypted legal response

[1087] Specific Action: The communication device generates specific action steps for the user based on the generated answer, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1088] Output: Generated concrete action steps

[1089] Step 13: Send and view action steps

[1090] Input: Generated specific action steps

[1091] Specific operation: The communication device transmits the generated action procedure to the information processing device, which then displays it to the user.

[1092] Output: Specific action steps displayed to the user

[1093] (Application example 1)

[1094] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1095] In today's world, it is important for users to receive prompt and accurate advice when they face legal issues. However, directly consulting with a lawyer with legal expertise can be a significant burden in terms of cost and time. In particular, when it comes to contracts and commitments related to electronic payment services, it is necessary to quickly assess legal risks and take appropriate measures, but there is a lack of tools to do so. The present invention aims to solve these problems and provide a system that allows users to easily and inexpensively resolve legal issues related to electronic payments.

[1096] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1097] In this invention, the server includes a terminal that allows a user to input a situation and a question related to the legal issue, a means for receiving information transmitted from the terminal, a generative AI model for analyzing the information, a means for the generative AI model to acquire relevant information from a legal database, a means for the generative AI model to generate an answer based on the acquired relevant information, a means for the server to transmit the generated answer to the terminal, a means for the terminal to display the transmitted answer to the user, and a means for the terminal to lecture the user on specific steps to take in response to the answer, thereby enabling the user to quickly assess legal risks and receive legal advice regarding electronic payments.

[1098] A "user" is an entity that utilizes the system and inputs circumstances and questions regarding legal matters.

[1099] A "terminal" is a device that a user uses to enter and transmit to a server the circumstances and questions regarding their legal matter.

[1100] A "server" is a device that receives information sent from a terminal, analyzes it using a generative AI model, and generates an answer.

[1101] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze user input, retrieve relevant information from legal databases, and generate answers based on this.

[1102] A "legal database" is a database that contains information about the law, such as the complete collection of laws and related case law data.

[1103] "Relevant information" is information obtained from legal databases that is necessary to resolve a user's legal problem.

[1104] The "answer generation means" is a function that generates answers to user questions based on related information acquired by the generative AI model.

[1105] The "means for lecturing on action steps" is a function that presents specific action steps for the user's legal situation based on the generated answers.

[1106] "Electronic Payments" refers to financial transactions conducted by users online, including the legal risks associated with contracts and commitments.

[1107] The present invention is a system that allows users to input their legal situation and questions and instantly receive professional advice. This system evaluates the user's legal risk and provides legal advice regarding electronic payments. The specific configuration and operation of the system are described below.

[1108] System configuration

[1109] The system consists of a "terminal" used by the user, a "server" that processes the data, a "generative AI model" that analyzes legal information, and a "legal database" that stores legal data.

[1110] Hardware and software used

[1111] 1. Terminal

[1112] Mobile devices such as smartphones and tablets.

[1113] It allows users to enter their legal situation and questions and receive answers.

[1114] 2. Server

[1115] Cloud-based servers (e.g., Amazon Web Services, Microsoft Azure)

[1116] It analyzes the information received from the user and runs a generative AI model.

[1117] 3. Generative AI Models

[1118] Models using Transformer, a natural language processing technology (e.g., OpenAI GPT)

[1119] It parses user input, retrieves appropriate information from legal databases, and generates an answer.

[1120] 4. Legal Database

[1121] A database containing the complete collection of laws, related case law data, and other legal resources.

[1122] A data source from which a generative AI model obtains relevant information.

[1123] Data processing and calculation

[1124] User input: The user uses a terminal to enter a specific question, such as "What are the risks of this contract?"

[1125] Data transmission: The device encrypts the entered question and sends it to the server using a secure communication protocol (such as HTTPS).

[1126] Information analysis: The server passes the received question to a generative AI model, which analyzes it using natural language processing technology. Specifically, it extracts important keywords and intent from the user's question.

[1127] Data lookup: The generative AI model consults legal databases based on the analyzed information to obtain relevant legal information and precedents.

[1128] Answer generation: The generative AI model uses the acquired legal information to generate specific answers to the user's questions, such as "This contract involves the following risks..."

[1129] Sending the answer: The server re-encrypts the generated answer and sends it to the user's device.

[1130] Displaying answers: The user's device displays the received answers and provides legal advice to the user, often in chat or card format.

[1131] Action steps: Based on the generated answer, the server also gives the user specific action steps, such as "First, try to reach an agreement between the two parties."

[1132] Specific examples

[1133] Specific examples of prompt sentences are shown below.

[1134] User Questions:

[1135] "What are the risks of this contract?"

[1136] Legal Data:

[1137] "The following risks exist with respect to the contract: (Enter detailed risk data here)"

[1138] Detailed answer:

[1139] "Generated answer: Contracts carry the following risks. For example, if there is no cooling-off period after signing the contract, it will be very difficult to cancel. There may also be additional costs hidden in the terms of the contract..."

[1140] In this way, users can assess legal risks in real time and obtain appropriate legal advice regarding electronic payments.

[1141] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1142] Step 1:

[1143] The user uses a terminal to input the situation and question about the legal issue, for example, "What risks does this contract entail?" This input becomes the initial data for the system.

[1144] Step 2:

[1145] The device encrypts the entered question and sends it to the server using a secure communication protocol (such as HTTPS), thereby protecting the user's privacy.

[1146] Step 3:

[1147] The server decrypts the received encrypted data and passes it to the generative AI model, converting the data format to make it analyzable for the user's question.

[1148] Step 4:

[1149] The generative AI model uses natural language processing technology to analyze the user's question. Specifically, it extracts key keywords and intent from the question text. The results of this analysis are stored as internal data.

[1150] Step 5:

[1151] Based on the analysis results, the generative AI model refers to a legal database. Specifically, it searches for legal information and precedents related to the keywords to obtain the necessary data. This obtained data becomes the basis for generation in the next step.

[1152] Step 6:

[1153] The generative AI model uses the acquired legal data to generate specific answers to user questions, such as text in the form "This contract involves the following risks..."

[1154] Step 7:

[1155] The server then re-encrypts the generated answer and sends it to the user's device using a secure communication protocol, ensuring data security.

[1156] Step 8:

[1157] The device decrypts the received encrypted data and displays it to the user in a chat or card format that is easy for the user to understand intuitively.

[1158] Step 9:

[1159] Based on the generated answer, the server also generates specific action steps for the user, such as "First, try to reach an agreement between the two parties."

[1160] Step 10:

[1161] The device displays this action plan to the user and guides them through the specific next steps, allowing them to quickly take appropriate legal action.

[1162] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1163] The present invention is an online tool that allows users to solve legal problems easily and inexpensively, and further includes a function that recognizes the user's emotions and reflects them in generating answers. Below, the program processing of the system of the present invention will be specifically explained in natural language.

[1164] Overall system overview

[1165] The system includes a terminal on which a user can input the circumstances and questions related to the legal issue, a server that receives information sent from the terminal, a generative AI model for analyzing the information and generating answers, a means for generating answers based on the acquired legal data, an emotion engine, and a means for reflecting the acquired emotion data in generating answers.

[1166] Explanation of program processing

[1167] 1. User Input

[1168] The user inputs into the terminal the circumstances and questions about his or her legal problem, for example, "I'm thinking about getting divorced. What will happen to my child custody?"

[1169] 2. Data Transmission

[1170] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1171] 3. Information analysis

[1172] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[1173] 4. Analysis using natural language processing

[1174] The generative AI model uses natural language processing (NLP) techniques to extract important keywords and the intent of the question from the input text.

[1175] 5. Emotion analysis using an emotion engine

[1176] The server then passes the user's input to the emotion engine in parallel. The emotion engine analyzes the user's input to determine emotions. For example, it determines whether the user's text contains emotions such as "anxiety" or "anger."

[1177] 6. Data Reference

[1178] The generative AI model searches legal databases (such as the Complete Law Collection and related case law data) based on the analyzed keywords and intent to obtain relevant information.

[1179] 7. Answer generation

[1180] The generative AI model generates legal advice for users' questions based on the acquired legal data and emotional information from the emotion engine. For example, in addition to the answer "Child custody in divorce cases is generally determined by the agreement of both parents, but in many cases the final decision is made by the court," it generates additional advice that takes the user's emotions into account.

[1181] 8. Submit your response

[1182] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[1183] 9. Answer display

[1184] The terminal decodes the received answer data and displays it to the user, for example, in a chat format or card format.

[1185] 10. Behavioral Lecture

[1186] Based on the generated answer, the server generates specific action instructions for the user and sends them to the terminal, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1187] The device displays specific steps to the user and provides guidance on what action to take next.

[1188] Specific examples

[1189] Example 1: Child custody and emotional questions during divorce

[1190] User Type: "I'm considering divorce and am very concerned about child custody."

[1191] Data transmission: The device encrypts the input information and sends it to the server.

[1192] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords (e.g., "divorce," "child custody").

[1193] Emotion analysis: The server analyzes the user's emotions using an emotion engine and identifies the emotion "worry."

[1194] Data reference: The generative AI model references the Six Codes and case law database to search for relevant laws and precedents.

[1195] Answer generation: Generates the answer, "Child custody during divorce is basically decided by agreement between both parents, but in many cases the final decision is made by the court. First, try to discuss the matter calmly."

[1196] Send Answer: The server sends the encrypted answer to the device.

[1197] Display Answer: The terminal displays the received answer to the user.

[1198] Action Instruction: The server generates a specific action instruction such as "First, try to reach an agreement between the two parties, and then consult with an expert to resolve any concerns," and sends it to the device. The device then displays it to the user.

[1199] Through the above process, the system can provide prompt and accurate legal advice while taking into consideration the user's feelings, allowing the user to take measures to address legal issues with peace of mind.

[1200] The processing flow will be explained below.

[1201] Step 1:

[1202] The user uses the terminal to input the situation and question about his / her legal problem, for example, "I'm thinking about getting divorced. What will happen to the custody of my children?"

[1203] Step 2:

[1204] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1205] Step 3:

[1206] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[1207] Step 4:

[1208] The generative AI model uses natural language processing (NLP) techniques to extract key keywords and question intent from the input text, such as "divorce," "children," and "custody."

[1209] Step 5:

[1210] The server then passes the input to the emotion engine in parallel. The emotion engine analyzes the user's input to determine emotions. Specifically, it determines whether the user's text contains emotions such as "anxiety" or "anger."

[1211] Step 6:

[1212] The generative AI model searches legal databases (such as the Six Codes and related case law data) based on the extracted keywords and intent, and in the process of finding relevant information, identifies specific provisions and case law.

[1213] Step 7:

[1214] The generative AI model generates legal advice for the user's question based on the search results. It also takes into account emotional information obtained from the emotion engine to form the answer. For example, if the user expresses the emotion "worried," the model generates additional advice that reflects that emotion, such as "First, try to discuss the matter calmly."

[1215] Step 8:

[1216] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[1217] Step 9:

[1218] The device decodes the received response data and displays it to the user. For example, the device may display the response in a chat format or card format, providing the user with information in a format that is easy to understand.

[1219] Step 10:

[1220] Based on the generated answer, the server generates specific action steps for the user and sends them to the device. For example, the steps might be, "First, try to reach an agreement between the two parties and consult with a lawyer." If the emotional information is "worried," the server might also include an action such as, "Consult with a specialist to resolve your anxiety."

[1221] Step 11:

[1222] The device displays specific steps to the user and provides guidance on what action to take next, allowing the user to take the next step according to this guidance.

[1223] Through the above processing steps, the system is able to provide prompt and accurate legal advice while also taking into consideration the user's feelings.

[1224] Example 2

[1225] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1226] Conventional online legal support systems do not take users' feelings into consideration, so the advice they provide is mechanical and does not adequately alleviate users' mental anxieties and concerns. Furthermore, they lack the functionality to provide specific action steps, making it difficult for users to obtain specific guidance on what to do next.

[1227] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a generative model for the receiving device to analyze the information, a means for the generative model to acquire related information from a database, and a means for the generative model to generate an answer based on the acquired related information and emotion data. This makes it possible to generate specific and accurate legal advice while taking the user's emotions into consideration, and also provide specific guidelines for the user's next actions.

[1228] An "input device" is a device that allows a user to input information or questions about a legal issue.

[1229] The "receiving device" is a device for receiving information transmitted from the input device.

[1230] A "generative model" is a model for analyzing information received by a receiving device, acquiring related information, and generating an answer.

[1231] "Database" means data storage for accumulating and managing information, including legal information and related precedents.

[1232] "Emotion data" is emotion information analyzed based on the user's input, and is reflected in answer generation.

[1233] An "emotion engine" is a device or software that analyzes emotions from user input.

[1234] An "answer" is legal advice or instructions generated by a generative model based on relevant information and sentiment data.

[1235] An "action step" is a means of providing guidance to a user on the specific next action they should take.

[1236] The present invention is an online tool that allows users to solve legal problems easily and inexpensively, and also a system that includes a function to recognize the user's emotions and reflect them in generating answers.

[1237] This system consists of the following hardware and software components:

[1238] 1. Input Device (Terminal)

[1239] A device that allows users to input information and questions about legal issues, such as PCs, smartphones, tablets, etc. Terminals are equipped with input interfaces such as keyboards and touchscreens.

[1240] 2. Receiving device (server)

[1241] A device that receives information sent from a terminal and analyzes and processes it. It uses the HTTPS protocol to ensure communication security. The server requires a high-performance CPU and sufficient memory and storage.

[1242] 3. Generative Models (Generative AI Models)

[1243] This model uses natural language processing (NLP) techniques to analyze user input, retrieve relevant information from a database, and generate legal advice. This generative AI model uses large-scale language models such as BERT and GPT.

[1244] 4. Database

[1245] This database is used to store and manage legal information and related legal precedents, including the Six Codes and related legal precedent databases. This database is built using database management systems such as SQL and NoSQL.

[1246] 5. Emotion Engine

[1247] This is a device or software that analyzes emotions from user input using emotion recognition algorithms. For example, it can identify emotions such as "anxiety" or "worry" from user input.

[1248] 6. Action procedure generation method

[1249] This is a means for generating specific next steps for the user based on the generated legal advice and sending them to the terminal, so that the system can recommend specific actions to the user.

[1250] First, a user uses an input device to input a question about a legal issue. For example, they might input a question like, "I'm considering divorce. What will happen to child custody?" The device then encrypts the input information and sends it to a server. The server then passes the received information to a generative AI model, which begins analyzing it. The generative AI model uses natural language processing technology to analyze the user's input and extract important keywords and the intent of the question.

[1251] In parallel, the server passes the user's input to the emotion engine for emotion analysis. The emotion engine identifies emotions such as "worry" or "anxiety" from the user's input. The generative AI model retrieves relevant information from a legal database based on the analyzed keywords and intent. The generative AI model then combines the retrieved legal data and emotion information to generate legal advice for the user.

[1252] The generated advice is returned to the server, where it is re-encrypted and sent to the device. The device then decrypts the received answer data and displays it to the user in a format that is easy for the user to understand, such as a chat or card format.

[1253] Finally, the server generates specific action steps based on the generated answers and sends them to the terminal, which displays them to the user and provides specific guidance on what the user should do next, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1254] Specific examples

[1255] Example prompt: "I'm considering divorce, but I'm very concerned about child custody."

[1256] Example of operation

[1257] Example 1: Child custody and emotional questions during divorce

[1258] User input: Typed into the terminal, "I'm considering divorce, but I'm very concerned about child custody."

[1259] Data transmission: The device encrypts the input information and sends it to the server.

[1260] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords ("divorce," "child custody").

[1261] Emotion analysis: The server analyzes the user's emotions using an emotion engine and identifies the emotion "worry."

[1262] Data reference: The generative AI model refers to the Six Codes and case law database to search for relevant laws and precedents.

[1263] Answer generation: The generative AI model generated the answer, "Child custody in the event of divorce is generally determined by agreement between both parents, but in many cases the final decision is made by the court," along with advice that took the user's concerns into consideration.

[1264] Send Answer: The server sends the encrypted answer to the device.

[1265] Display Answer: The device displays the received answer to the user.

[1266] Action Instruction: The server generates a specific action instruction, such as "First, try to reach an agreement between the two parties, and then consult with an expert to resolve any concerns," and sends it to the device. The device then displays it to the user.

[1267] This system makes it possible to provide prompt and accurate legal advice while taking into consideration the user's feelings, allowing the user to take measures to address legal issues with peace of mind.

[1268] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1269] Step 1: User Input

[1270] How it works: The user types a question or situation into the device. For example, "I'm considering divorce. What happens to child custody?"

[1271] Input: The question or situation entered by the user.

[1272] Data processing and calculation: The terminal formats the text entered by the user.

[1273] Output: The formatted user input.

[1274] Step 2: Send data

[1275] How it works: The device encrypts the information entered and sends it to the server using the HTTPS protocol.

[1276] Input: Formatted user input.

[1277] Data processing and calculation: The terminal processes the input information using an encryption algorithm.

[1278] Output: The encrypted user input.

[1279] Step 3: Receiving information

[1280] How it works: The server receives encrypted information from the device.

[1281] Input: Encrypted user input.

[1282] Data processing and calculation: The server decrypts the received data.

[1283] Output: The decrypted user input.

[1284] Step 4: Information analysis

[1285] How it works: The server passes the decoded information to the generative AI model.

[1286] Input: The decrypted user input.

[1287] Data processing and calculation: The server specifies the input information as prompts for the generative AI model.

[1288] Output: Data ready for analysis.

[1289] Step 5: Natural Language Processing Analysis

[1290] How it works: The generative AI model uses natural language processing (NLP) techniques to parse the input text and extract key keywords and the intent of the question.

[1291] Input: Data ready for analysis.

[1292] Data processing and calculation: The generative AI model applies text analysis algorithms to extract keywords and intent.

[1293] Output: Extracted keywords and question intent.

[1294] Step 6: Emotion analysis using the emotion engine

[1295] How it works: The server analyzes the user's emotions in parallel with the emotion engine, which extracts emotional information from the user's input text.

[1296] Input: The decrypted user input.

[1297] Data processing and calculation: The server applies emotion analysis algorithms to identify the user's emotions.

[1298] Output: Data about user emotions.

[1299] Step 7: Data Reference

[1300] How it works: The generative AI model searches legal databases based on extracted keywords and intent to retrieve relevant information.

[1301] Input: Extracted keywords and question intent.

[1302] Data processing and computation: The generative AI model generates database queries and searches against legal databases.

[1303] Output: The retrieved legal data.

[1304] Step 8: Answer Generation

[1305] How it works: The generative AI model combines acquired legal data and emotional information to generate legal advice.

[1306] Input: Obtained legal data and user sentiment data.

[1307] Data processing and calculation: The generative AI model integrates this information and generates optimal legal advice for the user.

[1308] Output: The generated legal advice.

[1309] Step 9: Submit your response

[1310] How it works: The server encrypts the generated answer and sends it to the device.

[1311] Input: Generated legal advice.

[1312] Data processing and calculation: The server processes the legal advice using encryption algorithms.

[1313] Output: Encrypted legal advice.

[1314] Step 10: Display answers

[1315] Operation: The device decodes the received response data and displays it to the user in chat or card format.

[1316] Input: Encrypted legal advice.

[1317] Data processing and calculation: The device applies a decoding algorithm to decrypt the data.

[1318] Output: Decoded legal advice.

[1319] Step 11: Behavioral Lectures

[1320] Operation: The server generates specific action steps based on the generated answers and sends them to the terminal, which displays them to the user.

[1321] Input: Generated legal advice.

[1322] Data processing and calculation: The server applies the action procedure generation algorithm to create a specific action plan.

[1323] Output: Specific action steps generated.

[1324] (Application example 2)

[1325] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1326] In modern society, there are increasing opportunities to face legal problems, and there is a need to deal with them early without consulting an expert. However, users often lack legal knowledge and find it difficult to find an appropriate solution. Furthermore, feelings of anxiety and anger about legal issues can build up, making it difficult to make calm decisions. In such situations, a system is needed that allows users to easily obtain legal advice and receive advice that takes their emotions into consideration, allowing them to approach problem-solving with peace of mind.

[1327] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a terminal into which a user can input the circumstances and questions related to the legal issue, means for receiving information transmitted from the terminal, a generative AI model for analyzing the information, means for the generative AI model to acquire relevant information from a legal database, means for the generative AI model to generate an answer based on the acquired relevant information, means for the generative AI model to analyze emotions from the user's input and generate an answer taking emotions into consideration, means for the server to transmit the generated answer to the terminal, means for the terminal to display the transmitted answer to the user, and means for the server to present specific action steps to the user based on the generated answer. This allows users, even if they lack legal knowledge, to receive appropriate and emotionally sensitive advice, enabling them to deal with problems with confidence.

[1328] "User input" refers to information that a user inputs into a terminal in text form regarding circumstances and questions related to a legal issue.

[1329] A "terminal" is a device that allows a user to input information and send it to a server, and typically refers to a smartphone or computer.

[1330] "Server" refers to a central processing unit that receives information sent by users, analyzes that information, and generates a response.

[1331] A "generative AI model" refers to a model that uses artificial intelligence technology to analyze and generate answers based on user input information.

[1332] "Legal database" refers to data storage containing legal information such as the Complete Law Collection and case law data.

[1333] "Relevant Information" refers to the legal data that the generative AI model retrieves from legal databases to generate answers to legal questions.

[1334] "Emotion analysis" refers to the process of reading emotions from user input information and identifying those emotions.

[1335] "Specific action steps" refer to steps for instructing the user on the specific action to be taken next based on the generated answer.

[1336] "Answer" refers to the legal advice or counsel that a generative AI model generates based on its analysis and data acquisition.

[1337] "Presenting" refers to displaying the generated answer and specific action steps to the user and explicitly showing them to the user.

[1338] "Transmission means" refers to a communication means by which the server sends the generated response back to the terminal.

[1339] "Display" refers to visually showing the generated answers and action steps on the user's terminal.

[1340] The present invention provides a system for providing prompt and emotionally sensitive legal advice to users when they are faced with a legal problem. Specific embodiments for implementing this system will be described below.

[1341] Overall system configuration

[1342] The system includes a terminal through which a user inputs a situation and question regarding a legal issue, a server that receives information transmitted from the terminal, a generative AI model that analyzes the information and generates an answer, an emotion engine that performs emotion analysis, a legal database, means for transmitting the generated answer to the terminal, and means for displaying the transmitted answer to the user.

[1343] Hardware and Software Configuration

[1344] Hardware

[1345] User terminal: A device, such as a smartphone or computer, through which a user inputs and transmits information.

[1346] Server: A central processing unit that receives information sent by users, analyzes it, and generates responses.

[1347] software

[1348] Communication protocol: Data is communicated between the user terminal and the server using a secure communication protocol such as HTTPS.

[1349] Natural language processing engine: The core part of a generative AI model, this technology analyzes text information entered by the user and extracts important keywords and the intent of the question.

[1350] Emotion engine: Technology that analyzes emotions from user input text and identifies emotions such as "anxiety" or "anger."

[1351] Legal database: Data storage for legal information, such as the complete collection of laws and case law databases.

[1352] Generative AI model: A model that uses information from the natural language processing engine and sentiment engine to refer to a legal database and generate appropriate legal advice.

[1353] System Operation Overview

[1354] 1. User Input

[1355] The user enters the situation and question about the legal issue into the terminal in text format, for example, "I am considering divorce and am very concerned about child custody."

[1356] 2. Data Transmission

[1357] The terminal encrypts the input data and sends it to the server using HTTPS.

[1358] 3. Information and sentiment analysis

[1359] The server passes the received information to the generative AI model for information analysis. At the same time, it passes the information to the emotion engine to analyze the user's emotions. For example, the emotion "worry" is extracted.

[1360] 4. Data reference and answer generation

[1361] The generative AI model uses the analyzed information to refer to a legal database to obtain relevant legal information, and then generates appropriate legal advice based on the obtained information and the results of sentiment analysis.

[1362] 5. Present answers and action steps

[1363] The server re-encrypts the generated answer and sends it to the terminal, which then displays the received answer to the user and provides specific action instructions and guidance on the next steps to take.

[1364] Specific examples

[1365] For example, if a user enters "I was fired, but I'm worried that it was unfair," the system will first recognize the emotion as "anxiety," retrieve relevant legal information, and generate an appropriate response: "You may have been fired unfairly. In accordance with the Labor Standards Act, we recommend that you consult a lawyer and report this to the Labor Bureau. It's natural to be worried, but first gather evidence and deal with the situation calmly."

[1366] Prompt Sentence Examples

[1367] Below are some example prompts that can be input to a generative AI model:

[1368] User Question: "I'm considering divorce, but I'm very concerned about child custody."

[1369] Emotion: "Worry"

[1370] Generate sound legal advice.

[1371] As a result, the present invention provides a system that allows users to receive prompt and emotionally sensitive advice on legal issues, helping to resolve problems while reducing anxiety.

[1372] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1373] Step 1:

[1374] The user inputs the situation and questions about the legal issue into a device. Specifically, the user inputs a question in text format using a device such as a smartphone or computer, such as "I'm considering divorce and I'm very concerned about child custody." This input becomes the basis for subsequent processing.

[1375] Input: User-entered text information about the legal issue.

[1376] Output: Legal issues and questions in text format.

[1377] Step 2:

[1378] The terminal encrypts the input data and sends it to the server using a secure communication protocol (e.g., HTTPS), ensuring that the user's input information is transmitted securely to the server.

[1379] Input: Text information entered by the user.

[1380] Output: Encrypted text information.

[1381] Step 3:

[1382] The server decrypts the received encrypted data and passes it to a generative AI model for information analysis. The generative AI model uses natural language processing (NLP) technology to extract important keywords and the intent of the question from the text information. For example, it extracts important keywords such as "divorce" and "child custody."

[1383] Input: Encrypted text information (after it is decrypted).

[1384] Output: Extracted keywords and question intent.

[1385] Step 4:

[1386] In parallel, the server passes the user's input information to the emotion engine for emotion analysis. Emotion analysis identifies emotions such as "anxiety" or "anger" from the input text. In this case, the emotion "worry" is extracted.

[1387] Input: User's text information.

[1388] Output: Identified emotion (e.g., "worry").

[1389] Step 5:

[1390] The generative AI model searches legal databases based on the analyzed keywords, intent, and emotion information to obtain relevant legal information, such as "legal information regarding child custody in divorce cases" from the Six Codes and case law databases.

[1391] Input: Extracted keywords and sentiment information.

[1392] Output: Relevant legal information.

[1393] Step 6:

[1394] The generative AI model generates appropriate legal advice in response to user questions based on the acquired legal and emotional information. For example, it might generate an answer like, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but the court often makes the final decision. We understand that you may be worried, but it's important to remain calm."

[1395] Input: Relevant legal and emotional information.

[1396] Output: The generated legal advice.

[1397] Step 7:

[1398] The server then re-encrypts the generated legal advice and sends it to the device, thereby protecting the user's privacy.

[1399] Input: Generated legal advice.

[1400] Output: Encrypted legal advice.

[1401] Step 8:

[1402] The device then decrypts the received encrypted data and visually displays it to the user, specifically showing the generated legal advice in chat or card format.

[1403] Input: Encrypted legal advice (after being decrypted).

[1404] Output: The legal advice that is displayed to the user.

[1405] Step 9:

[1406] Based on the generated answer, the server generates specific action steps for the user and sends them to the terminal. For example, the server generates an action step such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1407] Input: Generated legal advice.

[1408] Output: Specific action steps.

[1409] Step 10:

[1410] The device then displays the received specific action steps to the user, allowing the user to understand the specific next steps and take appropriate action.

[1411] Input: Specific action steps.

[1412] Output: Specific action steps displayed to the user.

[1413] Through the above steps, the present invention realizes a system that provides prompt and appropriate legal advice while also taking into consideration the user's feelings.

[1414] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1415] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1416] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1417] [Fourth embodiment]

[1418] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1419] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1420] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1421] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1422] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1423] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1424] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1425] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1426] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1427] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1428] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1429] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1430] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1431] The present invention is an online tool that allows users to solve legal problems easily and inexpensively. The program processing of the system of the present invention will be explained below in natural language.

[1432] Overall system overview

[1433] The system includes a terminal where a user can input the circumstances and questions related to the legal issue, a server that receives the information sent from the terminal, a generative AI model for analyzing the information and generating an answer, and a means for generating an answer based on the acquired legal data.

[1434] Explanation of program processing

[1435] 1. User Input

[1436] The user inputs into the terminal the circumstances and questions regarding his / her legal problem, for example, "I'm thinking about getting divorced, but what about child custody?"

[1437] 2. Data Transmission

[1438] The device encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1439] 3. Information analysis

[1440] The server passes the received information to the generative AI model, which uses natural language processing technology to analyze the input information. Specifically, it extracts important keywords and intent from the user's text.

[1441] 4. Data Reference

[1442] Based on the analyzed information, the generative AI model refers to legal databases (such as the Complete Law Collection and related case law data) to obtain appropriate information.

[1443] 5. Answer generation

[1444] The generative AI model uses referenced legal data to generate lawyer-level answers to user questions, such as, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but in many cases the final decision is made by the court."

[1445] 6. Submit your response

[1446] The server re-encrypts the generated answer and sends it to the end user's device, thereby preserving privacy.

[1447] 7. Answer display

[1448] The device then displays the received response to the user, who can then review the specific legal advice. For example, the response may be displayed in chat format or card format.

[1449] 8. Behavioral Lecture

[1450] Based on the generated answer, the server generates specific action instructions for the user, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1451] The terminal displays this action sequence to the user, clearly indicating what to do next.

[1452] Specific examples

[1453] Example 1: Child custody questions during divorce

[1454] User input: "I'm considering divorce, what do you think about child custody?"

[1455] Data transmission: The device encrypts the input information and sends it to the server.

[1456] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords ("divorce," "children," "custody").

[1457] Data reference: The generative AI model references the Six Codes and case law database to search for relevant laws and precedents.

[1458] Answer Generation: Generate the answer, "Child custody during divorce is basically decided by agreement between both parents, but in many cases the final decision is made by the court."

[1459] Send Answer: The server sends the encrypted answer to the device.

[1460] Display Answer: The terminal displays the received answer to the user.

[1461] Action Instruction: The server generates a specific action instruction such as "First, try to reach an agreement between the parties and consult with a lawyer" and sends it to the terminal. The terminal displays it to the user.

[1462] As described above, the present invention makes it possible to realize a system that allows users with legal problems to obtain professional advice quickly and at low cost.

[1463] The processing flow will be explained below.

[1464] Step 1:

[1465] The user uses the terminal to input the situation and question about his / her legal problem, for example, "I'm thinking about getting divorced. What will happen to the custody of my children?"

[1466] Step 2:

[1467] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1468] Step 3:

[1469] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[1470] Step 4:

[1471] The generative AI model uses natural language processing (NLP) techniques to analyze the user's question and context, specifically extracting important keywords and the intent of the question from the input text.

[1472] Step 5:

[1473] The server searches legal databases (such as the Six Codes and related case law data) based on the keywords and intent extracted by the generative AI model. For example, it finds data with keywords such as "divorce" and "child custody."

[1474] Step 6:

[1475] The generative AI model uses the search results to generate legal advice for users' questions. This involves summarizing legal literature and case law to formulate specific answers. For example, it could generate an answer like, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but in many cases the court makes the final decision."

[1476] Step 7:

[1477] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[1478] Step 8:

[1479] The terminal decodes the received answer data and displays it to the user, for example, in a chat format or card format.

[1480] Step 9:

[1481] Based on the generated answer, the server generates specific action instructions for the user and sends them to the terminal, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1482] Step 10:

[1483] The device displays specific steps to the user and provides guidance on what action to take next.

[1484] Through the above processing steps, the system is able to provide users with prompt and accurate legal advice.

[1485] Example 1

[1486] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1487] Conventional legal problem-solving methods are expensive, time-consuming, and difficult for general users without specialized knowledge to use. Furthermore, there are limited ways to obtain quick and accurate answers to legal inquiries. As a result, users are unable to obtain appropriate legal advice, increasing the risk of developing legal trouble. The present invention provides a system that allows users to easily and inexpensively solve legal problems from the comfort of their own home.

[1488] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1489] In this invention, the server includes an information processing device that allows a user to input a situation and a question related to the legal issue, a communication device that receives the information transmitted from the information processing device, a generative AI model for analyzing the information transmitted by the communication device, means for the generative AI model to acquire relevant information from a legal information database, means for the generative AI model to generate an answer based on the acquired relevant information, means for the communication device to transmit the generated answer to the information processing device, means for the information processing device to display the transmitted answer to the user, means for the information processing device to encrypt the input information from the user and transmit it to the communication device, means for the communication device to decrypt the information, means for the communication device to encrypt the generated answer and transmit it to the information processing device, and means for the information processing device to decrypt and display the encrypted answer. This enables users to obtain professional legal advice quickly and at low cost.

[1490] An "information processing device" is a device through which a user inputs circumstances and questions regarding a legal matter.

[1491] A "communication device" is a device that receives information transmitted from an information processing device and analyzes and processes the information.

[1492] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze user input and generate answers based on relevant information retrieved from legal databases.

[1493] A "legal information database" is a database that stores legal data (such as the complete collection of laws, related case law data, etc.).

[1494] The "answer generation means" is a means by which the generative AI model generates an answer to a user's question based on information referenced from the legal information database.

[1495] "Encryption means" refers to a means for encrypting information to protect the information being sent and received from being intercepted by a third party.

[1496] "Decryption means" refers to a means for restoring encrypted information to the original information.

[1497] The "action procedure generation means" is a means for generating a specific action procedure for the user based on the generated answer.

[1498] The "display means" is a means for the information processing device to display the generated answers and action procedures to the user.

[1499] The present invention is an online tool that allows users to easily and inexpensively solve legal problems. The system includes an information processing device that allows users to input the circumstances and questions related to the legal problem, a communication device that receives the transmitted information, a generative AI model for analyzing the information and generating answers, and a means for generating answers based on information obtained from a legal database.

[1500] First, a user inputs the circumstances and questions about their legal issue through an information processing device. For example, the user may ask a specific question such as, "I'm considering divorce. What will happen to child custody?" This question is encrypted by the information processing device using AES encryption technology and sent to a communication device via the HTTPS protocol.

[1501] The communication device then decodes the received information and passes it to a generative AI model, which uses natural language processing techniques to analyze the user's question. For example, a generative AI model like GPT-3 can be used to identify important keywords and intent from the input text. Based on this analysis, relevant information is retrieved from legal databases (such as the Six Codes and related case law data).

[1502] The generative AI model generates an answer to the question based on the acquired relevant information. For example, it may provide an answer such as, "Child custody in divorce cases is generally determined by mutual agreement between the parents, but in many cases the final decision is made by the court." This generated answer is passed to the communication device, where it is re-encrypted and sent to the information processing device. The information processing device then decrypts the answer and displays it to the user.

[1503] Based on the generated answer, the communication device generates a specific action procedure for the user. For example, the communication device indicates specific steps such as "first, try to reach an agreement between the two parties" or "consult with a lawyer." This action procedure is also displayed to the user via the information processing device.

[1504] As a specific example, consider the case where a user inputs the question, "I'm thinking about getting divorced. Can you tell me about child custody?" In this case, the information processing device encrypts the input information and sends it to the communication device. The communication device decrypts the information and passes it to the generative AI model. The generative AI model references a relevant legal database and generates the answer, "Child custody in divorce cases is basically determined by agreement between both parents, but in many cases the final decision is made by the court." The communication device encrypts this answer and sends it to the information processing device, which decrypts the answer and displays it to the user. The communication device also generates an action procedure, such as "First, try to reach an agreement between the two parties and consult with a lawyer," and displays it to the user via the information processing device.

[1505] Thus, the present invention allows users to obtain professional advice on legal issues quickly and at low cost.

[1506] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1507] Step 1: User Input

[1508] Input: The user uses an information processing device to input the circumstances and questions regarding the legal issue.

[1509] Specific operation: The user inputs a specific question into the information processing device: "I'm thinking about getting divorced. What will happen to the custody of my children?"

[1510] Output: Question data entered by the user

[1511] Step 2: Data Encryption

[1512] Input: Question data entered by the user

[1513] Specific operation: The information processing device encrypts the input question data using AES encryption technology.

[1514] Output: Encrypted question data

[1515] Step 3: Send data

[1516] Input: Encrypted question data

[1517] Specific operations: The information processing device transmits the encrypted question data to the communication device using the HTTPS protocol.

[1518] Output: Encrypted question data sent to communication device

[1519] Step 4: Data Decryption

[1520] Input: Encrypted question data sent to communications device

[1521] Specific operations: The communication device decrypts the encrypted question data.

[1522] Output: Decoded question data

[1523] Step 5: Data analysis

[1524] Input: Decoded question data

[1525] How it works: The communication device passes the decoded question data to the generative AI model, which then analyzes the data using natural language processing techniques. For example, GPT-3 extracts important keywords from the question (e.g., "divorce," "children," and "custody").

[1526] Output: Extracted keywords and analytics data

[1527] Step 6: Legal Data Reference

[1528] Input: Extracted keywords and analysis data

[1529] How it works: The generative AI model searches the legal database based on the extracted keywords to obtain relevant legal and case law information.

[1530] Output: Retrieved law and related case law information

[1531] Step 7: Answer Generation

[1532] Input: Obtained law and related case law information

[1533] Specific operation: The generative AI model generates an answer to the user's question based on the acquired information. For example, it generates an answer such as, "Child custody in divorce cases is generally determined by the agreement of both parents, but in many cases the final decision is made by the court."

[1534] Output: The generated legal answer

[1535] Step 8: Encrypt the answer

[1536] Input: Generated legal response

[1537] Specific operations: The communication device encrypts the generated response again using AES encryption technology.

[1538] Output: Encrypted legal answer

[1539] Step 9: Submit your response

[1540] Input: Encrypted Legal Response

[1541] Specific operations: The communication device transmits the encrypted legal response to the information processing device using the HTTPS protocol.

[1542] Output: Encrypted legal response sent to information processing device

[1543] Step 10: Decrypt the answer

[1544] Input: Encrypted legal response sent to information processing device

[1545] Specific operations: The information processing device decrypts the encrypted legal response.

[1546] Output: Decrypted legal answer

[1547] Step 11: Display answers

[1548] Input: Decrypted legal response

[1549] Specific operation: The information processing device displays the decrypted legal answer to the user, for example, in a chat format or a card format.

[1550] Output: The legal answer displayed to the user

[1551] Step 12: Action procedure generation

[1552] Input: Decrypted legal response

[1553] Specific Action: The communication device generates specific action steps for the user based on the generated answer, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1554] Output: Generated concrete action steps

[1555] Step 13: Send and view action steps

[1556] Input: Generated specific action steps

[1557] Specific operation: The communication device transmits the generated action procedure to the information processing device, which then displays it to the user.

[1558] Output: Specific action steps displayed to the user

[1559] (Application example 1)

[1560] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1561] In today's world, it is important for users to receive prompt and accurate advice when they face legal issues. However, directly consulting with a lawyer with legal expertise can be a significant burden in terms of cost and time. In particular, when it comes to contracts and commitments related to electronic payment services, it is necessary to quickly assess legal risks and take appropriate measures, but there is a lack of tools to do so. The present invention aims to solve these problems and provide a system that allows users to easily and inexpensively resolve legal issues related to electronic payments.

[1562] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1563] In this invention, the server includes a terminal that allows a user to input a situation and a question related to the legal issue, a means for receiving information transmitted from the terminal, a generative AI model for analyzing the information, a means for the generative AI model to acquire relevant information from a legal database, a means for the generative AI model to generate an answer based on the acquired relevant information, a means for the server to transmit the generated answer to the terminal, a means for the terminal to display the transmitted answer to the user, and a means for the terminal to lecture the user on specific steps to take in response to the answer, thereby enabling the user to quickly assess legal risks and receive legal advice regarding electronic payments.

[1564] A "user" is an entity that utilizes the system and inputs circumstances and questions regarding legal matters.

[1565] A "terminal" is a device that a user uses to enter and transmit to a server the circumstances and questions regarding their legal matter.

[1566] A "server" is a device that receives information sent from a terminal, analyzes it using a generative AI model, and generates an answer.

[1567] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze user input, retrieve relevant information from legal databases, and generate answers based on this.

[1568] A "legal database" is a database that contains information about the law, such as the complete collection of laws and related case law data.

[1569] "Relevant information" is information obtained from legal databases that is necessary to resolve a user's legal problem.

[1570] The "answer generation means" is a function that generates answers to user questions based on related information acquired by the generative AI model.

[1571] The "means for lecturing on action steps" is a function that presents specific action steps for the user's legal situation based on the generated answers.

[1572] "Electronic Payments" refers to financial transactions conducted by users online, including the legal risks associated with contracts and commitments.

[1573] The present invention is a system that allows users to input their legal situation and questions and instantly receive professional advice. This system evaluates the user's legal risk and provides legal advice regarding electronic payments. The specific configuration and operation of the system are described below.

[1574] System configuration

[1575] The system consists of a "terminal" used by the user, a "server" that processes the data, a "generative AI model" that analyzes legal information, and a "legal database" that stores legal data.

[1576] Hardware and software used

[1577] 1. Terminal

[1578] Mobile devices such as smartphones and tablets.

[1579] It allows users to enter their legal situation and questions and receive answers.

[1580] 2. Server

[1581] Cloud-based servers (e.g., Amazon Web Services, Microsoft Azure)

[1582] It analyzes the information received from the user and runs a generative AI model.

[1583] 3. Generative AI Models

[1584] Models using Transformer, a natural language processing technology (e.g., OpenAI GPT)

[1585] It parses user input, retrieves appropriate information from legal databases, and generates an answer.

[1586] 4. Legal Database

[1587] A database containing the complete collection of laws, related case law data, and other legal resources.

[1588] A data source from which a generative AI model obtains relevant information.

[1589] Data processing and calculation

[1590] User input: The user uses a terminal to enter a specific question, such as "What are the risks of this contract?"

[1591] Data transmission: The device encrypts the entered question and sends it to the server using a secure communication protocol (such as HTTPS).

[1592] Information analysis: The server passes the received question to a generative AI model, which analyzes it using natural language processing technology. Specifically, it extracts important keywords and intent from the user's question.

[1593] Data lookup: The generative AI model consults legal databases based on the analyzed information to obtain relevant legal information and precedents.

[1594] Answer generation: The generative AI model uses the acquired legal information to generate specific answers to the user's questions, such as "This contract involves the following risks..."

[1595] Sending the answer: The server re-encrypts the generated answer and sends it to the user's device.

[1596] Displaying answers: The user's device displays the received answers and provides legal advice to the user, often in chat or card format.

[1597] Action steps: Based on the generated answer, the server also gives the user specific action steps, such as "First, try to reach an agreement between the two parties."

[1598] Specific examples

[1599] Specific examples of prompt sentences are shown below.

[1600] User Questions:

[1601] "What are the risks of this contract?"

[1602] Legal Data:

[1603] "The following risks exist with respect to the contract: (Enter detailed risk data here)"

[1604] Detailed answer:

[1605] "Generated answer: Contracts carry the following risks. For example, if there is no cooling-off period after signing the contract, it will be very difficult to cancel. There may also be additional costs hidden in the terms of the contract..."

[1606] In this way, users can assess legal risks in real time and obtain appropriate legal advice regarding electronic payments.

[1607] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1608] Step 1:

[1609] The user uses a terminal to input the situation and question about the legal issue, for example, "What risks does this contract entail?" This input becomes the initial data for the system.

[1610] Step 2:

[1611] The device encrypts the entered question and sends it to the server using a secure communication protocol (such as HTTPS), thereby protecting the user's privacy.

[1612] Step 3:

[1613] The server decrypts the received encrypted data and passes it to the generative AI model, converting the data format to make it analyzable for the user's question.

[1614] Step 4:

[1615] The generative AI model uses natural language processing technology to analyze the user's question. Specifically, it extracts key keywords and intent from the question text. The results of this analysis are stored as internal data.

[1616] Step 5:

[1617] Based on the analysis results, the generative AI model refers to a legal database. Specifically, it searches for legal information and precedents related to the keywords to obtain the necessary data. This obtained data becomes the basis for generation in the next step.

[1618] Step 6:

[1619] The generative AI model uses the acquired legal data to generate specific answers to user questions, such as text in the form "This contract involves the following risks..."

[1620] Step 7:

[1621] The server then re-encrypts the generated answer and sends it to the user's device using a secure communication protocol, ensuring data security.

[1622] Step 8:

[1623] The device decrypts the received encrypted data and displays it to the user in a chat or card format that is easy for the user to understand intuitively.

[1624] Step 9:

[1625] Based on the generated answer, the server also generates specific action steps for the user, such as "First, try to reach an agreement between the two parties."

[1626] Step 10:

[1627] The device displays this action plan to the user and guides them through the specific next steps, allowing them to quickly take appropriate legal action.

[1628] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1629] The present invention is an online tool that allows users to solve legal problems easily and inexpensively, and further includes a function that recognizes the user's emotions and reflects them in generating answers. Below, the program processing of the system of the present invention will be specifically explained in natural language.

[1630] Overall system overview

[1631] The system includes a terminal on which a user can input the circumstances and questions related to the legal issue, a server that receives information sent from the terminal, a generative AI model for analyzing the information and generating answers, a means for generating answers based on the acquired legal data, an emotion engine, and a means for reflecting the acquired emotion data in generating answers.

[1632] Explanation of program processing

[1633] 1. User Input

[1634] The user inputs into the terminal the circumstances and questions about his or her legal problem, for example, "I'm thinking about getting divorced. What will happen to my child custody?"

[1635] 2. Data Transmission

[1636] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1637] 3. Information analysis

[1638] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[1639] 4. Analysis using natural language processing

[1640] The generative AI model uses natural language processing (NLP) techniques to extract important keywords and the intent of the question from the input text.

[1641] 5. Emotion analysis using an emotion engine

[1642] The server then passes the user's input to the emotion engine in parallel. The emotion engine analyzes the user's input to determine emotions. For example, it determines whether the user's text contains emotions such as "anxiety" or "anger."

[1643] 6. Data Reference

[1644] The generative AI model searches legal databases (such as the Complete Law Collection and related case law data) based on the analyzed keywords and intent to obtain relevant information.

[1645] 7. Answer generation

[1646] The generative AI model generates legal advice for users' questions based on the acquired legal data and emotional information from the emotion engine. For example, in addition to the answer "Child custody in divorce cases is generally determined by the agreement of both parents, but in many cases the final decision is made by the court," it generates additional advice that takes the user's emotions into account.

[1647] 8. Submit your response

[1648] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[1649] 9. Answer display

[1650] The terminal decodes the received answer data and displays it to the user, for example, in a chat format or card format.

[1651] 10. Behavioral Lecture

[1652] Based on the generated answer, the server generates specific action instructions for the user and sends them to the terminal, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1653] The device displays specific steps to the user and provides guidance on what action to take next.

[1654] Specific examples

[1655] Example 1: Child custody and emotional questions during divorce

[1656] User Type: "I'm considering divorce and am very concerned about child custody."

[1657] Data transmission: The device encrypts the input information and sends it to the server.

[1658] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords (e.g., "divorce," "child custody").

[1659] Emotion analysis: The server analyzes the user's emotions using an emotion engine and identifies the emotion "worry."

[1660] Data reference: The generative AI model references the Six Codes and case law database to search for relevant laws and precedents.

[1661] Answer generation: Generates the answer, "Child custody during divorce is basically decided by agreement between both parents, but in many cases the final decision is made by the court. First, try to discuss the matter calmly."

[1662] Send Answer: The server sends the encrypted answer to the device.

[1663] Display Answer: The terminal displays the received answer to the user.

[1664] Action Instruction: The server generates a specific action instruction such as "First, try to reach an agreement between the two parties, and then consult with an expert to resolve any concerns," and sends it to the device. The device then displays it to the user.

[1665] Through the above process, the system can provide prompt and accurate legal advice while taking into consideration the user's feelings, allowing the user to take measures to address legal issues with peace of mind.

[1666] The processing flow will be explained below.

[1667] Step 1:

[1668] The user uses the terminal to input the situation and question about his / her legal problem, for example, "I'm thinking about getting divorced. What will happen to the custody of my children?"

[1669] Step 2:

[1670] The terminal encrypts the information entered by the user and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1671] Step 3:

[1672] The server passes the received information to the generative AI model, which prepares to analyze the user's input.

[1673] Step 4:

[1674] The generative AI model uses natural language processing (NLP) techniques to extract key keywords and question intent from the input text, such as "divorce," "children," and "custody."

[1675] Step 5:

[1676] The server then passes the input to the emotion engine in parallel. The emotion engine analyzes the user's input to determine emotions. Specifically, it determines whether the user's text contains emotions such as "anxiety" or "anger."

[1677] Step 6:

[1678] The generative AI model searches legal databases (such as the Six Codes and related case law data) based on the extracted keywords and intent, and in the process of finding relevant information, identifies specific provisions and case law.

[1679] Step 7:

[1680] The generative AI model generates legal advice for the user's question based on the search results. It also takes into account emotional information obtained from the emotion engine to form the answer. For example, if the user expresses the emotion "worried," the model generates additional advice that reflects that emotion, such as "First, try to discuss the matter calmly."

[1681] Step 8:

[1682] The server then re-encrypts the generated answer and sends it to the device, ensuring the user's privacy.

[1683] Step 9:

[1684] The device decodes the received response data and displays it to the user. For example, the device may display the response in a chat format or card format, providing the user with information in a format that is easy to understand.

[1685] Step 10:

[1686] Based on the generated answer, the server generates specific action steps for the user and sends them to the device. For example, the steps might be, "First, try to reach an agreement between the two parties and consult with a lawyer." If the emotional information is "worried," the server might also include an action such as, "Consult with a specialist to resolve your anxiety."

[1687] Step 11:

[1688] The device displays specific steps to the user and provides guidance on what action to take next, allowing the user to take the next step according to this guidance.

[1689] Through the above processing steps, the system is able to provide prompt and accurate legal advice while also taking into consideration the user's feelings.

[1690] Example 2

[1691] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1692] Conventional online legal support systems do not take users' feelings into consideration, so the advice they provide is mechanical and does not adequately alleviate users' mental anxieties and concerns. Furthermore, they lack the functionality to provide specific action steps, making it difficult for users to obtain specific guidance on what to do next.

[1693] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a generative model for the receiving device to analyze the information, a means for the generative model to acquire related information from a database, and a means for the generative model to generate an answer based on the acquired related information and emotion data. This makes it possible to generate specific and accurate legal advice while taking the user's emotions into consideration, and also provide specific guidelines for the user's next actions.

[1694] An "input device" is a device that allows a user to input information or questions about a legal issue.

[1695] The "receiving device" is a device for receiving information transmitted from the input device.

[1696] A "generative model" is a model for analyzing information received by a receiving device, acquiring related information, and generating an answer.

[1697] "Database" means data storage for accumulating and managing information, including legal information and related precedents.

[1698] "Emotion data" is emotion information analyzed based on the user's input, and is reflected in answer generation.

[1699] An "emotion engine" is a device or software that analyzes emotions from user input.

[1700] An "answer" is legal advice or instructions generated by a generative model based on relevant information and sentiment data.

[1701] An "action step" is a means of providing guidance to a user on the specific next action they should take.

[1702] The present invention is an online tool that allows users to solve legal problems easily and inexpensively, and also a system that includes a function to recognize the user's emotions and reflect them in generating answers.

[1703] This system consists of the following hardware and software components:

[1704] 1. Input Device (Terminal)

[1705] A device that allows users to input information and questions about legal issues, such as PCs, smartphones, tablets, etc. Terminals are equipped with input interfaces such as keyboards and touchscreens.

[1706] 2. Receiving device (server)

[1707] A device that receives information sent from a terminal and analyzes and processes it. It uses the HTTPS protocol to ensure communication security. The server requires a high-performance CPU and sufficient memory and storage.

[1708] 3. Generative Models (Generative AI Models)

[1709] This model uses natural language processing (NLP) techniques to analyze user input, retrieve relevant information from a database, and generate legal advice. This generative AI model uses large-scale language models such as BERT and GPT.

[1710] 4. Database

[1711] This database is used to store and manage legal information and related legal precedents, including the Six Codes and related legal precedent databases. This database is built using database management systems such as SQL and NoSQL.

[1712] 5. Emotion Engine

[1713] This is a device or software that analyzes emotions from user input using emotion recognition algorithms. For example, it can identify emotions such as "anxiety" or "worry" from user input.

[1714] 6. Action procedure generation method

[1715] This is a means for generating specific next steps for the user based on the generated legal advice and sending them to the terminal, so that the system can recommend specific actions to the user.

[1716] First, a user uses an input device to input a question about a legal issue. For example, they might input a question like, "I'm considering divorce. What will happen to child custody?" The device then encrypts the input information and sends it to a server. The server then passes the received information to a generative AI model, which begins analyzing it. The generative AI model uses natural language processing technology to analyze the user's input and extract important keywords and the intent of the question.

[1717] In parallel, the server passes the user's input to the emotion engine for emotion analysis. The emotion engine identifies emotions such as "worry" or "anxiety" from the user's input. The generative AI model retrieves relevant information from a legal database based on the analyzed keywords and intent. The generative AI model then combines the retrieved legal data and emotion information to generate legal advice for the user.

[1718] The generated advice is returned to the server, where it is re-encrypted and sent to the device. The device then decrypts the received answer data and displays it to the user in a format that is easy for the user to understand, such as a chat or card format.

[1719] Finally, the server generates specific action steps based on the generated answers and sends them to the terminal, which displays them to the user and provides specific guidance on what the user should do next, such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1720] Specific examples

[1721] Example prompt: "I'm considering divorce, but I'm very concerned about child custody."

[1722] Example of operation

[1723] Example 1: Child custody and emotional questions during divorce

[1724] User input: Typed into the terminal, "I'm considering divorce, but I'm very concerned about child custody."

[1725] Data transmission: The device encrypts the input information and sends it to the server.

[1726] Information analysis: The server inputs the received information into a generative AI model and extracts important keywords ("divorce," "child custody").

[1727] Emotion analysis: The server analyzes the user's emotions using an emotion engine and identifies the emotion "worry."

[1728] Data reference: The generative AI model refers to the Six Codes and case law database to search for relevant laws and precedents.

[1729] Answer generation: The generative AI model generated the answer, "Child custody in the event of divorce is generally determined by agreement between both parents, but in many cases the final decision is made by the court," along with advice that took the user's concerns into consideration.

[1730] Send Answer: The server sends the encrypted answer to the device.

[1731] Display Answer: The device displays the received answer to the user.

[1732] Action Instruction: The server generates a specific action instruction, such as "First, try to reach an agreement between the two parties, and then consult with an expert to resolve any concerns," and sends it to the device. The device then displays it to the user.

[1733] This system makes it possible to provide prompt and accurate legal advice while taking into consideration the user's feelings, allowing the user to take measures to address legal issues with peace of mind.

[1734] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1735] Step 1: User Input

[1736] How it works: The user types a question or situation into the device. For example, "I'm considering divorce. What happens to child custody?"

[1737] Input: The question or situation entered by the user.

[1738] Data processing and calculation: The terminal formats the text entered by the user.

[1739] Output: The formatted user input.

[1740] Step 2: Send data

[1741] How it works: The device encrypts the information entered and sends it to the server using the HTTPS protocol.

[1742] Input: Formatted user input.

[1743] Data processing and calculation: The terminal processes the input information using an encryption algorithm.

[1744] Output: The encrypted user input.

[1745] Step 3: Receiving information

[1746] How it works: The server receives encrypted information from the device.

[1747] Input: Encrypted user input.

[1748] Data processing and calculation: The server decrypts the received data.

[1749] Output: The decrypted user input.

[1750] Step 4: Information analysis

[1751] How it works: The server passes the decoded information to the generative AI model.

[1752] Input: The decrypted user input.

[1753] Data processing and calculation: The server specifies the input information as prompts for the generative AI model.

[1754] Output: Data ready for analysis.

[1755] Step 5: Natural Language Processing Analysis

[1756] How it works: The generative AI model uses natural language processing (NLP) techniques to parse the input text and extract key keywords and the intent of the question.

[1757] Input: Data ready for analysis.

[1758] Data processing and calculation: The generative AI model applies text analysis algorithms to extract keywords and intent.

[1759] Output: Extracted keywords and question intent.

[1760] Step 6: Emotion analysis using the emotion engine

[1761] How it works: The server analyzes the user's emotions in parallel with the emotion engine, which extracts emotional information from the user's input text.

[1762] Input: The decrypted user input.

[1763] Data processing and calculation: The server applies emotion analysis algorithms to identify the user's emotions.

[1764] Output: Data about user emotions.

[1765] Step 7: Data Reference

[1766] How it works: The generative AI model searches legal databases based on extracted keywords and intent to retrieve relevant information.

[1767] Input: Extracted keywords and question intent.

[1768] Data processing and computation: The generative AI model generates database queries and searches against legal databases.

[1769] Output: The retrieved legal data.

[1770] Step 8: Answer Generation

[1771] How it works: The generative AI model combines acquired legal data and emotional information to generate legal advice.

[1772] Input: Obtained legal data and user sentiment data.

[1773] Data processing and calculation: The generative AI model integrates this information and generates optimal legal advice for the user.

[1774] Output: The generated legal advice.

[1775] Step 9: Submit your response

[1776] How it works: The server encrypts the generated answer and sends it to the device.

[1777] Input: Generated legal advice.

[1778] Data processing and calculation: The server processes the legal advice using encryption algorithms.

[1779] Output: Encrypted legal advice.

[1780] Step 10: Display answers

[1781] Operation: The device decodes the received response data and displays it to the user in chat or card format.

[1782] Input: Encrypted legal advice.

[1783] Data processing and calculation: The device applies a decoding algorithm to decrypt the data.

[1784] Output: Decoded legal advice.

[1785] Step 11: Behavioral Lectures

[1786] Operation: The server generates specific action steps based on the generated answers and sends them to the terminal, which displays them to the user.

[1787] Input: Generated legal advice.

[1788] Data processing and calculation: The server applies the action procedure generation algorithm to create a specific action plan.

[1789] Output: Specific action steps generated.

[1790] (Application example 2)

[1791] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1792] In modern society, there are increasing opportunities to face legal problems, and there is a need to deal with them early without consulting an expert. However, users often lack legal knowledge and find it difficult to find an appropriate solution. Furthermore, feelings of anxiety and anger about legal issues can build up, making it difficult to make calm decisions. In such situations, a system is needed that allows users to easily obtain legal advice and receive advice that takes their emotions into consideration, allowing them to approach problem-solving with peace of mind.

[1793] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a terminal into which a user can input the circumstances and questions related to the legal issue, means for receiving information transmitted from the terminal, a generative AI model for analyzing the information, means for the generative AI model to acquire relevant information from a legal database, means for the generative AI model to generate an answer based on the acquired relevant information, means for the generative AI model to analyze emotions from the user's input and generate an answer taking emotions into consideration, means for the server to transmit the generated answer to the terminal, means for the terminal to display the transmitted answer to the user, and means for the server to present specific action steps to the user based on the generated answer. This allows users, even if they lack legal knowledge, to receive appropriate and emotionally sensitive advice, enabling them to deal with problems with confidence.

[1794] "User input" refers to information that a user inputs into a terminal in text form regarding circumstances and questions related to a legal issue.

[1795] A "terminal" is a device that allows a user to input information and send it to a server, and typically refers to a smartphone or computer.

[1796] "Server" refers to a central processing unit that receives information sent by users, analyzes that information, and generates a response.

[1797] A "generative AI model" refers to a model that uses artificial intelligence technology to analyze and generate answers based on user input information.

[1798] "Legal database" refers to data storage containing legal information such as the Complete Law Collection and case law data.

[1799] "Relevant Information" refers to the legal data that the generative AI model retrieves from legal databases to generate answers to legal questions.

[1800] "Emotion analysis" refers to the process of reading emotions from user input information and identifying those emotions.

[1801] "Specific action steps" refer to steps for instructing the user on the specific action to be taken next based on the generated answer.

[1802] "Answer" refers to the legal advice or counsel that a generative AI model generates based on its analysis and data acquisition.

[1803] "Presenting" refers to displaying the generated answer and specific action steps to the user and explicitly showing them to the user.

[1804] "Transmission means" refers to a communication means by which the server sends the generated response back to the terminal.

[1805] "Display" refers to visually showing the generated answers and action steps on the user's terminal.

[1806] The present invention provides a system for providing prompt and emotionally sensitive legal advice to users when they are faced with a legal problem. Specific embodiments for implementing this system will be described below.

[1807] Overall system configuration

[1808] The system includes a terminal through which a user inputs a situation and question regarding a legal issue, a server that receives information transmitted from the terminal, a generative AI model that analyzes the information and generates an answer, an emotion engine that performs emotion analysis, a legal database, means for transmitting the generated answer to the terminal, and means for displaying the transmitted answer to the user.

[1809] Hardware and Software Configuration

[1810] Hardware

[1811] User terminal: A device, such as a smartphone or computer, through which a user inputs and transmits information.

[1812] Server: A central processing unit that receives information sent by users, analyzes it, and generates responses.

[1813] software

[1814] Communication protocol: Data is communicated between the user terminal and the server using a secure communication protocol such as HTTPS.

[1815] Natural language processing engine: The core part of a generative AI model, this technology analyzes text information entered by the user and extracts important keywords and the intent of the question.

[1816] Emotion engine: Technology that analyzes emotions from user input text and identifies emotions such as "anxiety" or "anger."

[1817] Legal database: Data storage for legal information, such as the complete collection of laws and case law databases.

[1818] Generative AI model: A model that uses information from the natural language processing engine and sentiment engine to refer to a legal database and generate appropriate legal advice.

[1819] System Operation Overview

[1820] 1. User Input

[1821] The user enters the situation and question about the legal issue into the terminal in text format, for example, "I am considering divorce and am very concerned about child custody."

[1822] 2. Data Transmission

[1823] The terminal encrypts the input data and sends it to the server using HTTPS.

[1824] 3. Information and sentiment analysis

[1825] The server passes the received information to the generative AI model for information analysis. At the same time, it passes the information to the emotion engine to analyze the user's emotions. For example, the emotion "worry" is extracted.

[1826] 4. Data reference and answer generation

[1827] The generative AI model uses the analyzed information to refer to a legal database to obtain relevant legal information, and then generates appropriate legal advice based on the obtained information and the results of sentiment analysis.

[1828] 5. Present answers and action steps

[1829] The server re-encrypts the generated answer and sends it to the terminal, which then displays the received answer to the user and provides specific action instructions and guidance on the next steps to take.

[1830] Specific examples

[1831] For example, if a user enters "I was fired, but I'm worried that it was unfair," the system will first recognize the emotion as "anxiety," retrieve relevant legal information, and generate an appropriate response: "You may have been fired unfairly. In accordance with the Labor Standards Act, we recommend that you consult a lawyer and report this to the Labor Bureau. It's natural to be worried, but first gather evidence and deal with the situation calmly."

[1832] Prompt Sentence Examples

[1833] Below are some example prompts that can be input to a generative AI model:

[1834] User Question: "I'm considering divorce, but I'm very concerned about child custody."

[1835] Emotion: "Worry"

[1836] Generate sound legal advice.

[1837] As a result, the present invention provides a system that allows users to receive prompt and emotionally sensitive advice on legal issues, helping to resolve problems while reducing anxiety.

[1838] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1839] Step 1:

[1840] The user inputs the situation and questions about the legal issue into a device. Specifically, the user inputs a question in text format using a device such as a smartphone or computer, such as "I'm considering divorce and I'm very concerned about child custody." This input becomes the basis for subsequent processing.

[1841] Input: User-entered text information about the legal issue.

[1842] Output: Legal issues and questions in text format.

[1843] Step 2:

[1844] The terminal encrypts the input data and sends it to the server using a secure communication protocol (e.g., HTTPS), ensuring that the user's input information is transmitted securely to the server.

[1845] Input: Text information entered by the user.

[1846] Output: Encrypted text information.

[1847] Step 3:

[1848] The server decrypts the received encrypted data and passes it to a generative AI model for information analysis. The generative AI model uses natural language processing (NLP) technology to extract important keywords and the intent of the question from the text information. For example, it extracts important keywords such as "divorce" and "child custody."

[1849] Input: Encrypted text information (after it is decrypted).

[1850] Output: Extracted keywords and question intent.

[1851] Step 4:

[1852] In parallel, the server passes the user's input information to the emotion engine for emotion analysis. Emotion analysis identifies emotions such as "anxiety" or "anger" from the input text. In this case, the emotion "worry" is extracted.

[1853] Input: User's text information.

[1854] Output: Identified emotion (e.g., "worry").

[1855] Step 5:

[1856] The generative AI model searches legal databases based on the analyzed keywords, intent, and emotion information to obtain relevant legal information, such as "legal information regarding child custody in divorce cases" from the Six Codes and case law databases.

[1857] Input: Extracted keywords and sentiment information.

[1858] Output: Relevant legal information.

[1859] Step 6:

[1860] The generative AI model generates appropriate legal advice in response to user questions based on the acquired legal and emotional information. For example, it might generate an answer like, "Child custody in divorce cases is generally determined by mutual agreement between both parents, but the court often makes the final decision. We understand that you may be worried, but it's important to remain calm."

[1861] Input: Relevant legal and emotional information.

[1862] Output: The generated legal advice.

[1863] Step 7:

[1864] The server then re-encrypts the generated legal advice and sends it to the device, thereby protecting the user's privacy.

[1865] Input: Generated legal advice.

[1866] Output: Encrypted legal advice.

[1867] Step 8:

[1868] The device then decrypts the received encrypted data and visually displays it to the user, specifically showing the generated legal advice in chat or card format.

[1869] Input: Encrypted legal advice (after being decrypted).

[1870] Output: The legal advice that is displayed to the user.

[1871] Step 9:

[1872] Based on the generated answer, the server generates specific action steps for the user and sends them to the terminal. For example, the server generates an action step such as "First, try to reach an agreement between the two parties and consult with a lawyer."

[1873] Input: Generated legal advice.

[1874] Output: Specific action steps.

[1875] Step 10:

[1876] The device then displays the received specific action steps to the user, allowing the user to understand the specific next steps and take appropriate action.

[1877] Input: Specific action steps.

[1878] Output: Specific action steps displayed to the user.

[1879] Through the above steps, the present invention realizes a system that provides prompt and appropriate legal advice while also taking into consideration the user's feelings.

[1880] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1881] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1882] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1883] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1884] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1885] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1886] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1887] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1888] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1889] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1890] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1891] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1892] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1893] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1894] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1895] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1896] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1897] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1898] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1899] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1900] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1901] The following is further disclosed regarding the above embodiment.

[1902] (Claim 1)

[1903] a terminal at which the user can input the circumstances and questions regarding the legal matter;

[1904] a server that receives information transmitted from the terminal;

[1905] a generative AI model for the server to analyze the information;

[1906] means for the generative AI model to obtain relevant information from a legal database;

[1907] A means for the generative AI model to generate an answer based on the acquired related information;

[1908] means for the server to transmit the generated response to the terminal;

[1909] means for the terminal to display the transmitted answer to the user;

[1910] A system including:

[1911] (Claim 2)

[1912] 10. The system of claim 1, wherein the generative AI model includes means for parsing user input using natural language processing.

[1913] (Claim 3)

[1914] 2. The system of claim 1, wherein the server includes means for instructing the user on specific steps to take based on the generated answers.

[1915] "Example 1"

[1916] (Claim 1)

[1917] an information processing device into which a user can input information about the legal issue and questions;

[1918] a communication device that receives information transmitted from the information processing device;

[1919] a generative AI model for the communication device to analyze the information;

[1920] means for the generative AI model to obtain relevant information from a legal information database;

[1921] A means for the generative AI model to generate an answer based on the acquired related information;

[1922] means for transmitting the generated response to the information processing device by the communication device;

[1923] a means for displaying the transmitted answer to a user by the information processing device;

[1924] a means for encrypting input information from a user and transmitting the information to a communication device;

[1925] means for said communication device to decode said information;

[1926] means for encrypting the generated response and transmitting the response to the information processing device by the communication device;

[1927] means for the information processing device to decrypt and display the encrypted answer;

[1928] A system including:

[1929] (Claim 2)

[1930] 10. The system of claim 1, wherein the generative AI model includes means for parsing user input using natural language processing.

[1931] (Claim 3)

[1932] 10. The system of claim 1, wherein the communication device includes means for instructing the user on specific steps of action based on the generated answers.

[1933] "Application Example 1"

[1934] (Claim 1)

[1935] a terminal at which the user can input the circumstances and questions regarding the legal matter;

[1936] a server that receives information transmitted from the terminal;

[1937] a generative AI model for the server to analyze the information;

[1938] means for the generative AI model to obtain relevant information from a legal database;

[1939] A means for the generative AI model to generate an answer based on the acquired related information;

[1940] means for the server to transmit the generated response to the terminal;

[1941] means for the terminal to display the transmitted answer to the user;

[1942] A means for the terminal to lecture the user on specific steps to take in response to the user's legal situation based on the answer;

[1943] A system including:

[1944] (Claim 2)

[1945] 10. The system of claim 1, wherein the generative AI model includes means for analyzing user input using natural language processing to assess risk associated with a contract or commitment.

[1946] (Claim 3)

[1947] 10. The system of claim 1, wherein the server includes means for providing electronic payment legal advice to the user based on the generated answers and course of action.

[1948] "Example 2: Combining Emotion Engines"

[1949] (Claim 1)

[1950] an input device through which the user can input the circumstances and questions regarding the legal matter;

[1951] a receiving device that receives information transmitted from the input device;

[1952] a generative model for the receiving device to analyze the information;

[1953] means for the generative model to obtain relevant information from a database;

[1954] means for the generative model to generate an answer based on the acquired related information and emotion data;

[1955] means for the receiving device to transmit the generated answer to the input device;

[1956] means for the input device to display the submitted answer to the user;

[1957] means for analyzing the emotion data, including an emotion engine for analyzing user input;

[1958] A system including:

[1959] (Claim 2)

[1960] 10. The system of claim 1, wherein the generative model includes means for parsing user input using natural language processing.

[1961] (Claim 3)

[1962] 2. The system of claim 1, wherein the receiving device includes means for instructing the user on specific steps to take based on the generated answers.

[1963] "Application example 2 when combining emotion engines"

[1964] (Claim 1)

[1965] a terminal at which the user can input the circumstances and questions regarding the legal matter;

[1966] a server that receives information transmitted from the terminal;

[1967] a generative AI model for the server to analyze the information;

[1968] means for the generative AI model to obtain relevant information from a legal database;

[1969] A means for the generative AI model to generate an answer based on the acquired related information;

[1970] means for the server to transmit the generated response to the terminal;

[1971] means for the terminal to display the transmitted answer to the user;

[1972] A means for the generative AI model to analyze emotions from user input and generate an answer taking emotions into consideration;

[1973] means for the server to present specific action procedures to the user based on the generated answer;

[1974] A system including:

[1975] (Claim 2)

[1976] 10. The system of claim 1, wherein the generative AI model includes means for analyzing user input using natural language processing and means for performing sentiment analysis.

[1977] (Claim 3)

[1978] 2. The system according to claim 1, wherein the server includes means for lecturing the user on specific steps of action based on the generated answers and presenting the lectures to the user. [Explanation of symbols]

[1979] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a terminal at which the user can input the circumstances and questions regarding the legal matter; a server that receives information transmitted from the terminal; a generative AI model for the server to analyze the information; means for the generative AI model to obtain relevant information from a legal database; A means for the generative AI model to generate an answer based on the acquired related information; means for the server to transmit the generated response to the terminal; means for the terminal to display the transmitted answer to the user; A system including:

2. The system of claim 1 , wherein the generative AI model includes means for parsing user input using natural language processing.

3. The system according to claim 1 , wherein the server includes means for instructing the user on specific steps of action based on the generated answers.

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