system

Abstract

We provide the system. [Solution] A means of collecting necessary information from users using a data collection module, A method for automatically generating standardized legal documents from information collected using artificial intelligence, A means for users to review and modify the generated legal documents, A means of sending the final legal documents to a professional for review and correction, The means of submitting the revised legal documents to the designated administrative agency, A means of settling legal fees using electronic transaction methods, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventional legal document creation and procedures require specialized knowledge and must rely on business experts, which impose a significant time and economic burden on individuals and enterprises. Also, the document creation process is complex and difficult to respond to quickly. Therefore, there is a need to efficiently create documents with simple content and smoothly proceed with procedures.

Means for Solving the Problems

[0005] This invention provides a system that automatically generates legal documents in a standardized format by collecting necessary information from users and analyzing that information using artificial intelligence. Furthermore, it provides means for users to review and correct the generated documents, and the final documents are reviewed by business experts and corrected as necessary. This enables the final legal documents to be submitted accurately and promptly to administrative agencies. In addition, the artificial intelligence detects and presents missing information and inconsistencies, further reducing the burden on users. Moreover, by providing business experts with means to easily access legal-related data, it enables more efficient business operations.

[0006] A "data collection module" is a functional unit designed to efficiently collect necessary information from users.

[0007] Artificial intelligence is a machine learning-based system that analyzes vast amounts of data and uses the results to solve problems.

[0008] A "standard format" is a standard document format predetermined for a specific purpose or procedure.

[0009] A "legal document" is a document required in administrative procedures or transactions that have legal effect.

[0010] A "professional in charge of legal matters" is a professional who possesses specific expertise and is qualified to act on behalf of others in legal procedures and related tasks.

[0011] An "administrative agency" is an organization that is involved in the governance of the state or local government and performs specific duties in accordance with laws and regulations.

[0012] "Missing information" refers to incomplete or missing information that is necessary for creating legal documents but has not been provided by the user.

[0013] A "contradiction" refers to a point in the information collected from users or generated data that is inconsistent.

[0014] "Legal data" refers to a collection of information that forms the basis of legal judgments, such as laws, precedents, and interpretive materials. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying out the Invention

[0016] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0019] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

[0024] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0025] As shown in Figure 1, the 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.

[0026] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0029] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0031] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0035] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0036] This invention provides a system that enables users to efficiently create documents required for legal proceedings. The system includes a data collection module, artificial intelligence, and document creation and submission functions, automating the entire process from information collection to submission via a terminal and server.

[0037] First, the user uses their device to input the information required for a specific legal procedure. For example, if a user wants to establish a corporation, they would input the corporation's name, address, and officer information into their device. This information is then sent from the device to the server.

[0038] On the server, artificial intelligence analyzes the information sent by the user. The analysis detects missing information and inconsistencies, and based on this, the AI ​​sends additional questions to the terminal. For example, if the executive information is incomplete, the AI ​​will ask the user for supplementary information such as, "Please tell me the executive's job title."

[0039] Once the user provides the necessary supplementary information, the server synthesizes all the information and uses artificial intelligence to automatically generate a standardized legal document. This generated document is sent to the terminal and displayed for the user to review. The user reviews the document and makes corrections if necessary.

[0040] The finalized legal document is sent from the server to the business expert's terminal. The business expert uses the terminal to review and revise the document based on their legal expertise and ultimately approves it. This approval process also includes the expert accessing legal data and reviewing reference materials.

[0041] Approved legal documents are submitted electronically to the designated administrative agency via the server, and a notification of completion is sent to the user's terminal, allowing them to confirm that their application has been successfully completed. In this way, it is possible to efficiently complete the necessary legal procedures for the user.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user uses a terminal to select a procedure for creating legal documents and enters the necessary information. This information includes basic data required for the procedure (e.g., name, address, contact information, etc.).

[0045] Step 2:

[0046] The terminal sends the entered information to the server. At this stage, a screen is displayed to the user confirming that the input is complete.

[0047] Step 3:

[0048] The artificial intelligence on the server analyzes the information sent by the user and detects missing information or inconsistencies. If detected, it generates a message indicating that supplementary information is needed.

[0049] Step 4:

[0050] The server sends a question to the terminal requesting supplementary information. The terminal displays the question to the user, allowing the user to enter additional information.

[0051] Step 5:

[0052] The user enters supplementary information and sends it back to the server via their device. This information is then re-analyzed by artificial intelligence.

[0053] Step 6:

[0054] The server automatically generates legal documents in a standardized format based on the results of artificial intelligence analysis. These documents are stored on the server as initial versions.

[0055] Step 7:

[0056] The server sends the generated legal document to the terminal, allowing the user to review its contents. The user then checks the document for errors on the terminal and makes corrections as needed.

[0057] Step 8:

[0058] The user submits the document they have reviewed and corrected to the server via their terminal. The finalized information is then prepared for submission to the relevant professional.

[0059] Step 9:

[0060] The server sends the final version of the legal document to the professional's terminal. The professional uses the terminal to review the document's contents and make revisions and provide advice from a professional perspective.

[0061] Step 10:

[0062] The server electronically submits the documents, once verified by the business expert, to the designated administrative agency. Finally, a notification of completion is sent to the user via their terminal.

[0063] (Example 1)

[0064] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0065] The preparation of documents required for legal procedures has traditionally been largely a manual process performed by individuals with specialized knowledge, making it challenging to improve efficiency and ensure accuracy. In particular, rework due to incomplete or incorrect information leads to increased time and costs, thus necessitating automation.

[0066] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0067] In this invention, the server includes means for collecting necessary information from the user using a computer device, means for automatically generating a document in a standard format from the collected information using a machine learning algorithm, and means for the user to review and modify the generated document on a display device. This makes it possible to improve the efficiency and accuracy of document creation required for legal procedures.

[0068] A "user" is an individual or legal entity that uses the system to input information necessary for legal proceedings and to review and modify the final document.

[0069] A "computer device" is an electronic device used by users to input necessary information, and is a device that transmits, receives, and processes data.

[0070] A "machine learning algorithm" is a program that analyzes collected information to identify deficiencies and inconsistencies and automatically generates documents in a standard format.

[0071] A "standard format document" is a document generated in a legally defined format and containing the information necessary for the procedure.

[0072] A "display device" refers to a device such as a display or monitor used by a user to review and modify generated documents.

[0073] A "business representative" is a professional with the knowledge to evaluate a finalized document and make revisions and approvals from a legal perspective.

[0074] "Relevant organizations" refers to public institutions such as government offices and organizations to which the final revised documents are submitted.

[0075] The following describes embodiments for carrying out the invention.

[0076] This system is designed to allow users to efficiently create the documents necessary for legal procedures. Users use their own devices to input the information required for specific procedures. Specifically, if a user wishes to establish a company, they would input data such as the company name, address, and officer information. This information collection utilizes a computer and an internet connection.

[0077] Information sent from the terminal reaches the server, where it is analyzed using machine learning algorithms. This analysis detects missing or inconsistent data. For example, if the server finds that an executive's job title is missing, it requests the user to provide the supplementary information. This entire process is supported by a generative AI model.

[0078] Once sufficient information has been gathered, the server automatically generates legal documents in a standard format using machine learning algorithms. These documents are sent to the user's terminal, where the user reviews the document and makes corrections as needed. The reviewed documents are then sent to the terminal of the relevant personnel for final review and correction by experts. Experts can access legal databases and consult necessary reference materials.

[0079] The finalized documents are submitted electronically to the relevant authorities by the server. Users confirm completion of the process by receiving a notification on their device. This system allows users to complete complex legal procedures quickly and accurately.

[0080] A concrete example would be a process where the system automatically prepares all the necessary documents when the user enters a prompt such as, "I want to prepare the documents to establish a new company."

[0081] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0082] Step 1:

[0083] The user uses a terminal to enter the information required for legal proceedings. This information includes company name, address, and officer information, and this data is transmitted to the server via the internet. The user provides information in fixed fields as input data on the terminal, and the output is passed to the server as digitized information.

[0084] Step 2:

[0085] The server analyzes information submitted by users using machine learning algorithms. This analysis detects missing or inconsistent data. Specifically, it identifies missing executive information and invalid address formats. The input is the data submitted by the user, and the output is a list of the data's integrity and any missing information.

[0086] Step 3:

[0087] The server sends additional questions to the terminal based on the analysis results. For example, it might generate a question asking for supplementary information, such as "Please enter the executive's job title." The data processing here involves generating questions to fill in information gaps. The input is a list of missing information, and the output is questions to obtain more detailed information.

[0088] Step 4:

[0089] The user enters supplementary information in response to additional questions displayed on the terminal. The entered information is then sent back to the server. The terminal receives this information and provides the server with any necessary supplementary data as output.

[0090] Step 5:

[0091] The server automatically generates legal documents in a standard format using a generative AI model with all the collected information. This process uses predefined templates and inserts user data. The input is a complete set of user information, and the output is a formatted legal document.

[0092] Step 6:

[0093] The user reviews the document generated on the terminal and makes corrections as needed. The displayed document is editable, and the output is sent to the server as reviewed or corrected document data.

[0094] Step 7:

[0095] The server sends the finalized document to the user's terminal, where experts evaluate the document from a legal perspective. The user makes any necessary corrections while referring to legal databases. The input is the document data for verification, and the output is the approved or revised document.

[0096] Step 8:

[0097] The server electronically submits the approved legal documents to the relevant authorities. Once the submission is complete, a completion notification is sent to the user's terminal. The output is a digital submission completion record to the authorities, and the user receives a confirmation notification.

[0098] (Application Example 1)

[0099] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0100] In modern society, efficiently carrying out legal procedures requires not only the preparation of documents but also their submission and payment of related fees to be done quickly. However, managing these elements individually is time-consuming and laborious, placing a significant burden on users. Furthermore, delays in procedures are likely to occur if necessary information is missing or inconsistent.

[0101] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0102] In this invention, the server includes means for collecting necessary information from users using a data collection module, means for automatically generating legal documents in a standardized format from the collected information using artificial intelligence, and means for settling fees related to legal procedures using electronic transaction means. This enables centralized management and automation of the process from creating the necessary documents for legal procedures to electronic payment of fees and submission.

[0103] The "data collection module" is a function that collects necessary information from users and uses that information to create legal documents.

[0104] "Artificial intelligence" is a technology that analyzes collected information and automatically generates legal documents in standard formats.

[0105] A "standardized legal document" is a document in a format standardized by law, containing information necessary for a specific legal procedure.

[0106] "Display means" refers to a function that presents generated legal documents to users, allowing them to review and modify the contents.

[0107] A "professional" is an individual or organization that possesses legal knowledge and is responsible for reviewing and correcting generated documents.

[0108] An "administrative agency" is a public institution to which legal documents are submitted, and is an organization that has the function of accepting the documents necessary to carry out prescribed procedures.

[0109] "Electronic transaction method" refers to a system or service that has the function of electronically executing payments related to legal proceedings.

[0110] The system for realizing this invention involves linking the user's terminal, the server, and the expert's terminal.

[0111] First, the user's device provides an interface using a React Native application that allows users to easily input the information necessary for legal procedures. This information is securely transmitted to the server using AWS®. The server runs on Node.js and analyzes the information using an OpenAI® generative AI model. The AI ​​model has the function of automatically generating standardized legal documents from the input data and detecting missing information and inconsistencies.

[0112] The generated documents are displayed to the user via a smartphone application, allowing them to review and modify the content. Once the modifications are complete, the documents are transferred to a specialist's terminal for final review and revision based on their legal expertise.

[0113] Documents that have been reviewed by experts are submitted to government agencies using the Stripe API as an electronic transaction method, with the necessary fees paid online. This reduces physical procedures and allows users to submit legal documents quickly and accurately.

[0114] As a concrete example, when an individual starts a small business, the system provides comprehensive support, from inputting the individual's information to creating, verifying, and submitting necessary documents to government agencies. By using prompts such as, "Please generate the necessary document templates for company incorporation. The officer information is as follows:...", the AI ​​quickly generates the appropriate documents.

[0115] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0116] Step 1:

[0117] The user's device displays an interface through a React Native application that allows them to input information necessary for legal procedures. The user uses this interface to enter information such as the company name and address, and securely transmits this data from their device to the server via AWS. The input data is structured in JSON format, facilitating processing on the server.

[0118] Step 2:

[0119] The server analyzes the received input data in a Node.js environment. The analyzed data is then fed into OpenAI's generative AI model to detect missing information and inconsistencies. Based on this data, the AI ​​generates prompt statements and provides necessary additional questions as feedback to the user's terminal. The output consists of a list of missing information and prompt statements based on that information.

[0120] Step 3:

[0121] The user's terminal presents the user with additional questions sent from the server. The user enters the additional information and sends it back to the server. This process is repeated until the missing information is resolved. The entered data is again sent to the server in a structured format.

[0122] Step 4:

[0123] The server automatically generates standardized legal documents using an OpenAI generative AI model based on complete information. The AI ​​model outputs legally valid document formats based on the input data. The generated documents are sent to the user's device in PDF format.

[0124] Step 5:

[0125] The user's device displays the generated document within the application. The user can review the content and make any necessary corrections. If corrections are needed, the user uses the application's editing function to send the corrected data to the server.

[0126] Step 6:

[0127] The server transfers the revised document to the expert's terminal. The expert receives the document on their terminal and performs a final review and revision based on their legal knowledge. After the revisions are complete, the document is returned to the server for final approval.

[0128] Step 7:

[0129] Based on the final approved documents, the server executes the electronic transaction procedure using the Stripe API and settles the fees related to the legal proceedings. At this time, a payment receipt notification is sent to the terminals of both the professional and the user.

[0130] Step 8:

[0131] The final documents and payment information are submitted electronically to the designated administrative agency via the server. A notification of submission completion is sent to the user's device, allowing the user to confirm that the procedure has been completed correctly.

[0132] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0133] This invention integrates an emotion engine into a legal document creation system to facilitate efficient document creation while recognizing the user's emotional state. The system supports a series of processes, from user information gathering to document generation, expert review, and final submission, via terminals and servers.

[0134] First, the user initiates the legal procedure process using a device. The user enters the necessary information through the interface displayed on the device. During this process, the emotion engine detects the user's emotional state based on their input, typing speed, and, in the case of voice input, their tone of voice. For example, if the user is feeling stressed, the emotion engine recognizes this and interactively adjusts the content and order of questions to support the user in a relaxed state of mind while entering information.

[0135] The device sends collected information and the user's emotional state to a server. On the server, artificial intelligence analyzes this data, detecting missing information and inconsistencies. An emotion engine generates appropriate feedback or additional questions based on the user's emotions and displays them on the device. For example, if the system detects that the user is confused, it will either simplify the questions or provide guidance messages.

[0136] Once all the information provided by the user is complete, the server uses artificial intelligence to automatically generate legal documents in a standardized format. The generated documents are sent to the user's terminal, where they can review and modify the content. To ensure the user can review the documents in a relaxed state, an emotion engine monitors the process and includes features such as playing calming music as needed.

[0137] The final legal document is sent to a specialist via the server for review and revision. User sentiment data is also utilized at this stage to facilitate communication. Once final review is complete, the server submits the document to the designated administrative agency and sends a notification of completion to the user's device.

[0138] This system is expected to provide users with a document creation experience that takes their emotional state into consideration, leading to improved document accuracy and procedural efficiency.

[0139] The following describes the processing flow.

[0140] Step 1:

[0141] The user initiates legal proceedings via the device and accesses an interface to enter the necessary information. The emotion engine then activates and evaluates the user's current emotional state based on their input speed and content.

[0142] Step 2:

[0143] The terminal sends the emotional state along with the input information to the server. The server analyzes the received data and checks whether all the necessary information is present and consistent.

[0144] Step 3:

[0145] Based on the user's emotional state, the server adjusts additional messages and questions to reduce user stress. For example, if the user is feeling anxious, it displays simple guidance on the device.

[0146] Step 4:

[0147] The user answers additional questions presented by the server via their device. The emotion engine tracks changes in the user's responses and adjusts its approach as needed.

[0148] Step 5:

[0149] The server uses artificial intelligence to automatically generate standardized legal documents based on a complete set of information obtained from the user. These documents are generated in PDF format and sent to the terminal.

[0150] Step 6:

[0151] The user reviews the legal documents generated on the device and makes corrections as needed. The emotion engine measures the user's level of concentration and provides features to promote relaxation as appropriate.

[0152] Step 7:

[0153] The revised document is sent from the terminal to the server. The server forwards the final version of the document to a business expert for legal review.

[0154] Step 8:

[0155] Business professionals use terminals to review documents and make necessary corrections. User sentiment data is also used to improve communication between professionals and users.

[0156] Step 9:

[0157] The server electronically submits the document, once final verification is complete, to the designated administrative agency. Upon completion of the submission, a notification of completion is sent to the user's device.

[0158] (Example 2)

[0159] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0160] Modern information processing systems require the efficient collection of data and creation of legal documents while recognizing the user's emotional state. However, conventional systems struggle to provide appropriate interfaces and responses that respond to user emotions, making it a challenge to balance improved user experience with the accuracy and efficiency of document creation.

[0161] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0162] In this invention, the server includes an interface means for collecting user information from the user and detecting their emotional state, means for generating and presenting emotionally adaptive feedback to the user, and means for providing a relaxed environment based on the user's emotional state. This enables interactive information gathering and appropriate document generation that takes the user's emotions into consideration.

[0163] An "interface" refers to a screen or function that allows a user to interact with a system and input or receive information.

[0164] "Emotionally adaptive feedback" refers to feedback that is adjusted in content and format according to the user's emotional state.

[0165] "Data collection means" refers to a method or device for efficiently collecting necessary information from users.

[0166] "Artificial intelligence" refers to a program or system that has the ability to analyze large amounts of data and automatically perform predetermined tasks.

[0167] A "standard format" refers to a standard format that adheres to specific purposes or standards.

[0168] "Person engaged in work" refers to a person who possesses advanced knowledge and experience in a specific specialized field and is responsible for performing specific tasks.

[0169] An "organization" is a public or private organization established for a specific function or purpose.

[0170] "Display means" refers to a device or function for visually presenting information to a user.

[0171] The embodiments for carrying out the present invention will be described as follows.

[0172] The system of this invention is designed to efficiently create legal documents while taking into account the user's emotional state. Specifically, it consists of key elements such as a terminal, a server, and an emotion engine.

[0173] First, the user initiates the legal process using the terminal. The terminal displays a user interface, allowing the user to input the necessary information. At this point, an emotion engine is integrated into the terminal, analyzing the user's input and typing speed to detect their emotional state. This information is used to provide interactive feedback to help the user relax while inputting information.

[0174] Next, the device sends the collected user information and emotional state data to the server. The server uses a generative AI model to analyze this data for consistency and to identify any missing information. Based on the analysis results, the server generates emotionally adaptive feedback and additional questions, which it then provides to the device.

[0175] Once all the necessary information from the user is received, the server uses a generative AI model to automatically generate legal documents in a standardized format. The generated documents are transferred to the terminal, where the user can review and modify them as needed. While the user is reviewing the documents, the terminal monitors the user's emotional state and provides a relaxing environment as needed.

[0176] Ultimately, the server sends the completed legal document to the service provider for review and revision. Throughout this process, communication between the user and the service provider is facilitated based on sentiment data, and the document is finally submitted to the administrative agency.

[0177] As a concrete example, consider a scenario where a user generates a contract for a real estate transaction. When the user enters the transaction terms, the terminal activates an emotional engine based on the input and provides appropriate feedback. For example, it might display a prompt such as, "Please enter the buyer's information. If you have trouble entering the information, we will display a detailed guide," providing a user-friendly experience.

[0178] This system is expected to enable more accurate and efficient legal procedures by allowing users to create documents that take their emotional state into consideration.

[0179] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0180] Step 1:

[0181] The user initiates legal proceedings using the terminal. As the user enters the necessary information via the terminal's interface, the terminal retrieves the input data. Simultaneously, the terminal uses an emotion engine to analyze the user's typing speed and voice tone to detect their emotional state. Specifically, if the user's input is slow or their voice tone is tense, the system determines that stress is being detected. The terminal's output consists of the entered information and the detected emotion data.

[0182] Step 2:

[0183] The terminal sends the collected information to the server. Upon receiving the input data and emotional state data, the server begins data analysis using a generative AI model. The server verifies the data's integrity and identifies any missing information or inconsistencies. Based on the analysis results, the server creates prompts that generate feedback or additional questions and sends them to the terminal. The terminal displays this feedback to the user and requests further input. The output includes the analysis results and prompts.

[0184] Step 3:

[0185] The user enters additional information according to the terminal's instructions and makes corrections as needed. The terminal sends this information back to the server, which checks again to see if any missing information has been resolved. The emotion engine monitors the user's emotional state throughout this process, and if signs of stress are detected, the terminal provides relaxing music or visual effects. The terminal's output is the user's new input information.

[0186] Step 4:

[0187] Once the server has completed its final information gathering, it automatically generates the necessary legal documents using a generative AI model. The server sends these documents to the terminal, giving the user the opportunity to review and revise them. The terminal continuously monitors the user's emotional state and provides support to reduce stress during the review process. The output of the terminal is the generated legal document.

[0188] Step 5:

[0189] The server sends the revised document to the employee and requests necessary review and revisions. The employee can review the document and make additional revisions. The final document is submitted to the designated agency via the server. The server also takes the user's emotional state into consideration during interactions with the employee. The output is the transmission of the final, reviewed legal document.

[0190] (Application Example 2)

[0191] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0192] In the creation of legal documents, human emotional states can influence the entire process, thus requiring a system that can accommodate emotional fluctuations while maintaining high accuracy and efficiency. Furthermore, a lack of means to smoothly manage procedures that involve stress and confusion remains a challenge.

[0193] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0194] In this invention, the server includes means for collecting necessary information using a data acquisition device, means for detecting and analyzing a person's emotional state using an emotion recognition device and adjusting the user experience, and means for automatically generating legal text in a standard format from the collected information using artificial intelligence. This makes it possible to smoothly proceed with the legal document creation process with high accuracy and efficiency while taking into account the person's emotional state.

[0195] A "data acquisition device" refers to hardware or software used to collect necessary information from users.

[0196] "Artificial intelligence" is a technology used to analyze collected information and automatically generate legal texts.

[0197] A "standardized legal text" refers to a document that is structured in a format prescribed by law.

[0198] A "display device" refers to a device used by a user to review and modify generated legal text.

[0199] "Professional" refers to an occupation that possesses legal knowledge and is responsible for reviewing and revising final documents.

[0200] "Public institutions" refers to administrative bodies to which documents are submitted in the final stages of legal proceedings.

[0201] An "emotion recognition device" is a device used to detect a user's emotional state and adjust processes and user experiences accordingly.

[0202] "User experience" refers to the overall experience a user has during the process of creating legal documents.

[0203] "Collected information" refers to users' personal information and data necessary for procedures collected by data acquisition devices.

[0204] "Resources" refer to the references and related data required for professional review and correction.

[0205] This system consists primarily of a data acquisition device, artificial intelligence, and an emotion recognition device. When a user inputs necessary information using a terminal, the data acquisition device collects that information. The user's input speed and voice tone are analyzed by the emotion recognition device to detect the user's emotional state. Based on this, the terminal adjusts the process and provides appropriate feedback to the user.

[0206] The server uses artificial intelligence to automatically generate standardized legal texts based on collected information and detected emotion data. This generated text can be reviewed and edited by the user on their device. Users can also receive support such as music played to help them relax, thanks to an emotion recognition device.

[0207] The final legal text is sent via the server to professionals for review and revision. Here again, access to resources is available, playing a role in facilitating the process. The revised legal text is then submitted to the public authority. The server notifies the terminal of the completion of the procedure.

[0208] For example, if a user experiences stress during an online payment, the emotion recognition system will activate and generate a prompt message: "The user appears to be experiencing stress. What kind of relaxing message or background music would be appropriate?" This allows the user to proceed with the transaction in a relaxed state.

[0209] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0210] Step 1:

[0211] The user enters legal information using a terminal. This input is sent as text data from the terminal to a data acquisition device. The data acquisition device formats this information and prepares it for transmission to a server.

[0212] Step 2:

[0213] The terminal analyzes the user's emotional state based on input type and voice tone using an emotion recognition device. This analysis result is generated as emotion data and sent to the server. During the emotion recognition process, data acquired from sensors is analyzed to quantify the user's stress level and emotional state.

[0214] Step 3:

[0215] The server combines information transmitted from the data acquisition device with emotional data obtained from the emotion recognition device, and uses artificial intelligence to detect missing information and automatically generate legal text in a standardized format. The input information is verified, and calculations are performed to identify any inconsistencies or omissions. The generated legal text is then ready to be sent to the terminal.

[0216] Step 4:

[0217] The user reviews and corrects the legal text generated on the device. During this process, an emotion recognition device continuously monitors the user's state and interacts with them as needed, such as by playing music to help them relax. The corrected text is then sent back to the server.

[0218] Step 5:

[0219] The server receives the user's revisions, sends the final legal text to the professional, and requests their review. During this process, the professional is provided with access to resources, allowing them to easily refer to the necessary information.

[0220] Step 6:

[0221] The legal text, once corrected by professionals, is submitted directly from the server to the public authority. The server then sends a completion notification to the user's terminal, informing them that the procedure is finished.

[0222] This overall system processing flow allows users to experience an efficient and accurate legal document creation process that takes their emotional state into consideration.

[0223] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0224] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0225] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0226] [Second Embodiment]

[0227] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0228] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0229] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0230] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0231] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0232] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0233] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0234] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0235] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0236] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0237] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0238] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0239] This invention provides a system that enables users to efficiently create documents required for legal proceedings. The system includes a data collection module, artificial intelligence, and document creation and submission functions, automating the entire process from information collection to submission via a terminal and server.

[0240] First, the user uses their device to input the information required for a specific legal procedure. For example, if a user wants to establish a corporation, they would input the corporation's name, address, and officer information into their device. This information is then sent from the device to the server.

[0241] On the server, artificial intelligence analyzes the information sent by the user. The analysis detects missing information and inconsistencies, and based on this, the AI ​​sends additional questions to the terminal. For example, if the executive information is incomplete, the AI ​​will ask the user for supplementary information such as, "Please tell me the executive's job title."

[0242] Once the user provides the necessary supplementary information, the server synthesizes all the information and uses artificial intelligence to automatically generate a standardized legal document. This generated document is sent to the terminal and displayed for the user to review. The user reviews the document and makes corrections if necessary.

[0243] The finalized legal document is sent from the server to the business expert's terminal. The business expert uses the terminal to review and revise the document based on their legal expertise and ultimately approves it. This approval process also includes the expert accessing legal data and reviewing reference materials.

[0244] Approved legal documents are submitted electronically to the designated administrative agency via the server, and a notification of completion is sent to the user's terminal, allowing them to confirm that their application has been successfully completed. In this way, it is possible to efficiently complete the necessary legal procedures for the user.

[0245] The following describes the processing flow.

[0246] Step 1:

[0247] The user uses a terminal to select a procedure for creating legal documents and enters the necessary information. This information includes basic data required for the procedure (e.g., name, address, contact information, etc.).

[0248] Step 2:

[0249] The terminal sends the entered information to the server. At this stage, a screen is displayed to the user confirming that the input is complete.

[0250] Step 3:

[0251] The artificial intelligence on the server analyzes the information sent by the user and detects missing information or inconsistencies. If detected, it generates a message indicating that supplementary information is needed.

[0252] Step 4:

[0253] The server sends a question to the terminal requesting supplementary information. The terminal displays the question to the user, allowing the user to enter additional information.

[0254] Step 5:

[0255] The user enters supplementary information and sends it back to the server via their device. This information is then re-analyzed by artificial intelligence.

[0256] Step 6:

[0257] The server automatically generates legal documents in a standardized format based on the results of artificial intelligence analysis. These documents are stored on the server as initial versions.

[0258] Step 7:

[0259] The server sends the generated legal document to the terminal, allowing the user to review its contents. The user then checks the document for errors on the terminal and makes corrections as needed.

[0260] Step 8:

[0261] The user submits the document they have reviewed and corrected to the server via their terminal. The finalized information is then prepared for submission to the relevant professional.

[0262] Step 9:

[0263] The server sends the final version of the legal document to the professional's terminal. The professional uses the terminal to review the document's contents and make revisions and provide advice from a professional perspective.

[0264] Step 10:

[0265] The server electronically submits the documents, once verified by the business expert, to the designated administrative agency. Finally, a notification of completion is sent to the user via their terminal.

[0266] (Example 1)

[0267] Next, we will describe Example 1. 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".

[0268] The preparation of documents required for legal procedures has traditionally been largely a manual process performed by individuals with specialized knowledge, making it challenging to improve efficiency and ensure accuracy. In particular, rework due to incomplete or incorrect information leads to increased time and costs, thus necessitating automation.

[0269] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0270] In this invention, the server includes means for collecting necessary information from the user using a computer device, means for automatically generating a document in a standard format from the collected information using a machine learning algorithm, and means for the user to review and modify the generated document on a display device. This makes it possible to improve the efficiency and accuracy of document creation required for legal procedures.

[0271] A "user" is an individual or legal entity that uses the system to input information necessary for legal proceedings and to review and modify the final document.

[0272] A "computer device" is an electronic device used by users to input necessary information, and is a device that transmits, receives, and processes data.

[0273] A "machine learning algorithm" is a program that analyzes collected information to identify deficiencies and inconsistencies and automatically generates documents in a standard format.

[0274] A "standard format document" is a document generated in a legally defined format and containing the information necessary for the procedure.

[0275] A "display device" refers to a device such as a display or monitor used by a user to review and modify generated documents.

[0276] A "business representative" is a professional with the knowledge to evaluate a finalized document and make revisions and approvals from a legal perspective.

[0277] "Relevant organizations" refers to public institutions such as government offices and organizations to which the final revised documents are submitted.

[0278] The following describes embodiments for carrying out the invention.

[0279] This system is designed to allow users to efficiently create the documents necessary for legal procedures. Users use their own devices to input the information required for specific procedures. Specifically, if a user wishes to establish a company, they would input data such as the company name, address, and officer information. This information collection utilizes a computer and an internet connection.

[0280] Information sent from the terminal reaches the server, where it is analyzed using machine learning algorithms. This analysis detects missing or inconsistent data. For example, if the server finds that an executive's job title is missing, it requests the user to provide the supplementary information. This entire process is supported by a generative AI model.

[0281] When sufficient information has been gathered, the server uses a machine learning algorithm to automatically generate a legal document in a standard format. This document is sent to the user's terminal, where the user checks the content of the document and makes corrections if necessary. The document confirmed by the user is sent to the terminal of the person in charge of the business, and final confirmation and correction are made by experts. The experts can refer to the legal database and check the necessary reference materials.

[0282] The finalized document is electronically submitted by the server to the relevant institution. The user confirms that the procedure has been completed by receiving a notification on the terminal. With this system, the user can accurately complete complicated legal procedures in a short time.

[0283] As a specific example, there is a process in which when the user inputs a prompt sentence such as "want to prepare documents for establishing a new company", the system automatically prepares all the necessary documents.

[0284] The flow of the specific process in Example 1 will be described using FIG. 11.

[0285] Step 1:

[0286] The user uses the terminal to input the information required for the legal procedure. The information to be input includes the company name, location, and officer information, and these data are sent to the server through the Internet. As input data for the terminal, the user provides information in fixed fields, and the output is passed to the server as digitized information.

[0287] Step 2:

[0288] The server analyzes information submitted by users using machine learning algorithms. This analysis detects missing or inconsistent data. Specifically, it identifies missing executive information and invalid address formats. The input is the data submitted by the user, and the output is a list of the data's integrity and any missing information.

[0289] Step 3:

[0290] The server sends additional questions to the terminal based on the analysis results. For example, it might generate a question asking for supplementary information, such as "Please enter the executive's job title." The data processing here involves generating questions to fill in information gaps. The input is a list of missing information, and the output is questions to obtain more detailed information.

[0291] Step 4:

[0292] The user enters supplementary information in response to additional questions displayed on the terminal. The entered information is then sent back to the server. The terminal receives this information and provides the server with any necessary supplementary data as output.

[0293] Step 5:

[0294] The server automatically generates legal documents in a standard format using a generative AI model with all the collected information. This process uses predefined templates and inserts user data. The input is a complete set of user information, and the output is a formatted legal document.

[0295] Step 6:

[0296] The user reviews the document generated on the terminal and makes corrections as needed. The displayed document is editable, and the output is sent to the server as reviewed or corrected document data.

[0297] Step 7:

[0298] The server sends the finalized document to the user's terminal, where experts evaluate the document from a legal perspective. The user makes any necessary corrections while referring to legal databases. The input is the document data for verification, and the output is the approved or revised document.

[0299] Step 8:

[0300] The server electronically submits the approved legal documents to the relevant authorities. Once the submission is complete, a completion notification is sent to the user's terminal. The output is a digital submission completion record to the authorities, and the user receives a confirmation notification.

[0301] (Application Example 1)

[0302] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0303] In modern society, efficiently carrying out legal procedures requires not only the preparation of documents but also their submission and payment of related fees to be done quickly. However, managing these elements individually is time-consuming and laborious, placing a significant burden on users. Furthermore, delays in procedures are likely to occur if necessary information is missing or inconsistent.

[0304] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0305] In this invention, the server includes means for collecting necessary information from users using a data collection module, means for automatically generating legal documents in a standardized format from the collected information using artificial intelligence, and means for settling fees related to legal procedures using electronic transaction means. This enables centralized management and automation of the process from creating the necessary documents for legal procedures to electronic payment of fees and submission.

[0306] The "data collection module" is a function for collecting necessary information from users, and uses this information to create legal documents.

[0307] "Artificial intelligence" is a technology that analyzes the collected information and automatically generates legal documents in a fixed format.

[0308] "Legal documents in a fixed format" are document formats standardized based on laws and contain information necessary for specific legal procedures.

[0309] The "display means" is a function that presents the generated legal documents to the user and allows for confirmation and correction of the content.

[0310] "Experts" are individuals or organizations with legal knowledge and the role of checking and correcting the generated documents.

[0311] "Administrative agencies" are public agencies to which legal documents are submitted and are organizations with the function of accepting documents necessary for carrying out prescribed procedures.

[0312] "Electronic transaction means" is a system or service that has the function of electronically executing fee payments related to legal procedures.

[0313] The system for realizing this invention is in a form that links the user's terminal, the server, and the expert's terminal.

[0314] First, the user's terminal provides an interface that allows the user to easily input information necessary for legal procedures through an application using React Native. This information is securely transmitted to the server using AWS. The server operates using Node.js and analyzes the information by leveraging OpenAI's generative AI model. The AI model has the function of automatically generating legal documents in a fixed format from the input data and detecting missing information and contradictions.

[0315] The generated documents are displayed to the user via a smartphone application, allowing them to review and modify the content. Once the modifications are complete, the documents are transferred to a specialist's terminal for final review and revision based on their legal expertise.

[0316] Documents that have been reviewed by experts are submitted to government agencies using the Stripe API as an electronic transaction method, with the necessary fees paid online. This reduces physical procedures and allows users to submit legal documents quickly and accurately.

[0317] As a concrete example, when an individual starts a small business, the system provides comprehensive support, from inputting the individual's information to creating, verifying, and submitting necessary documents to government agencies. By using prompts such as, "Please generate the necessary document templates for company incorporation. The officer information is as follows:...", the AI ​​quickly generates the appropriate documents.

[0318] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0319] Step 1:

[0320] The user's device displays an interface through a React Native application that allows them to input information necessary for legal procedures. The user uses this interface to enter information such as the company name and address, and securely transmits this data from their device to the server via AWS. The input data is structured in JSON format, facilitating processing on the server.

[0321] Step 2:

[0322] The server analyzes the received input data in a Node.js environment. The analyzed data is then fed into OpenAI's generative AI model to detect missing information and inconsistencies. Based on this data, the AI ​​generates prompt statements and provides necessary additional questions as feedback to the user's terminal. The output consists of a list of missing information and prompt statements based on that information.

[0323] Step 3:

[0324] The user's terminal presents the user with additional questions sent from the server. The user enters the additional information and sends it back to the server. This process is repeated until the missing information is resolved. The entered data is again sent to the server in a structured format.

[0325] Step 4:

[0326] The server automatically generates standardized legal documents using an OpenAI generative AI model based on complete information. The AI ​​model outputs legally valid document formats based on the input data. The generated documents are sent to the user's device in PDF format.

[0327] Step 5:

[0328] The user's device displays the generated document within the application. The user can review the content and make any necessary corrections. If corrections are needed, the user uses the application's editing function to send the corrected data to the server.

[0329] Step 6:

[0330] The server transfers the revised document to the expert's terminal. The expert receives the document on their terminal and performs a final review and revision based on their legal knowledge. After the revisions are complete, the document is returned to the server for final approval.

[0331] Step 7:

[0332] Based on the final approved documents, the server executes the electronic transaction procedure using the Stripe API and settles the fees related to the legal proceedings. At this time, a payment receipt notification is sent to the terminals of both the professional and the user.

[0333] Step 8:

[0334] The final documents and payment information are submitted electronically to the designated administrative agency via the server. A notification of submission completion is sent to the user's device, allowing the user to confirm that the procedure has been completed correctly.

[0335] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0336] This invention integrates an emotion engine into a legal document creation system to facilitate efficient document creation while recognizing the user's emotional state. The system supports a series of processes, from user information gathering to document generation, expert review, and final submission, via terminals and servers.

[0337] First, the user initiates the legal procedure process using a device. The user enters the necessary information through the interface displayed on the device. During this process, the emotion engine detects the user's emotional state based on their input, typing speed, and, in the case of voice input, their tone of voice. For example, if the user is feeling stressed, the emotion engine recognizes this and interactively adjusts the content and order of questions to support the user in a relaxed state of mind while entering information.

[0338] The device sends collected information and the user's emotional state to a server. On the server, artificial intelligence analyzes this data, detecting missing information and inconsistencies. An emotion engine generates appropriate feedback or additional questions based on the user's emotions and displays them on the device. For example, if the system detects that the user is confused, it will either simplify the questions or provide guidance messages.

[0339] Once all the information provided by the user is complete, the server uses artificial intelligence to automatically generate legal documents in a standardized format. The generated documents are sent to the user's terminal, where they can review and modify the content. To ensure the user can review the documents in a relaxed state, an emotion engine monitors the process and includes features such as playing calming music as needed.

[0340] The final legal document is sent to a specialist via the server for review and revision. User sentiment data is also utilized at this stage to facilitate communication. Once final review is complete, the server submits the document to the designated administrative agency and sends a notification of completion to the user's device.

[0341] This system is expected to provide users with a document creation experience that takes their emotional state into consideration, leading to improved document accuracy and procedural efficiency.

[0342] The following describes the processing flow.

[0343] Step 1:

[0344] The user initiates legal proceedings via the device and accesses an interface to enter the necessary information. The emotion engine then activates and evaluates the user's current emotional state based on their input speed and content.

[0345] Step 2:

[0346] The terminal sends the emotional state along with the input information to the server. The server analyzes the received data and checks whether all the necessary information is present and consistent.

[0347] Step 3:

[0348] Based on the user's emotional state, the server adjusts additional messages and questions to reduce user stress. For example, if the user is feeling anxious, it displays simple guidance on the device.

[0349] Step 4:

[0350] The user answers additional questions presented by the server via their device. The emotion engine tracks changes in the user's responses and adjusts its approach as needed.

[0351] Step 5:

[0352] The server uses artificial intelligence to automatically generate standardized legal documents based on a complete set of information obtained from the user. These documents are generated in PDF format and sent to the terminal.

[0353] Step 6:

[0354] The user reviews the legal documents generated on the device and makes corrections as needed. The emotion engine measures the user's level of concentration and provides features to promote relaxation as appropriate.

[0355] Step 7:

[0356] The revised document is sent from the terminal to the server. The server forwards the final version of the document to a business expert for legal review.

[0357] Step 8:

[0358] Business professionals use terminals to review documents and make necessary corrections. User sentiment data is also used to improve communication between professionals and users.

[0359] Step 9:

[0360] The server electronically submits the document, once final verification is complete, to the designated administrative agency. Upon completion of the submission, a notification of completion is sent to the user's device.

[0361] (Example 2)

[0362] Next, we will describe Example 2. 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".

[0363] Modern information processing systems require the efficient collection of data and creation of legal documents while recognizing the user's emotional state. However, conventional systems struggle to provide appropriate interfaces and responses that respond to user emotions, making it a challenge to balance improved user experience with the accuracy and efficiency of document creation.

[0364] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0365] In this invention, the server includes an interface means for collecting user information from the user and detecting their emotional state, means for generating and presenting emotionally adaptive feedback to the user, and means for providing a relaxed environment based on the user's emotional state. This enables interactive information gathering and appropriate document generation that takes the user's emotions into consideration.

[0366] An "interface" refers to a screen or function that allows a user to interact with a system and input or receive information.

[0367] "Emotionally adaptive feedback" refers to feedback that is adjusted in content and format according to the user's emotional state.

[0368] "Data collection means" refers to a method or device for efficiently collecting necessary information from users.

[0369] "Artificial intelligence" refers to a program or system that has the ability to analyze large amounts of data and automatically perform predetermined tasks.

[0370] A "standard format" refers to a standard format that adheres to specific purposes or standards.

[0371] "Person engaged in work" refers to a person who possesses advanced knowledge and experience in a specific specialized field and is responsible for performing specific tasks.

[0372] An "organization" is a public or private organization established for a specific function or purpose.

[0373] "Display means" refers to a device or function for visually presenting information to a user.

[0374] The embodiments for carrying out the present invention will be described as follows.

[0375] The system of this invention is designed to efficiently create legal documents while taking into account the user's emotional state. Specifically, it consists of key elements such as a terminal, a server, and an emotion engine.

[0376] First, the user initiates the legal process using the terminal. The terminal displays a user interface, allowing the user to input the necessary information. At this point, an emotion engine is integrated into the terminal, analyzing the user's input and typing speed to detect their emotional state. This information is used to provide interactive feedback to help the user relax while inputting information.

[0377] Next, the device sends the collected user information and emotional state data to the server. The server uses a generative AI model to analyze this data for consistency and to identify any missing information. Based on the analysis results, the server generates emotionally adaptive feedback and additional questions, which it then provides to the device.

[0378] Once all the necessary information from the user is received, the server uses a generative AI model to automatically generate legal documents in a standardized format. The generated documents are transferred to the terminal, where the user can review and modify them as needed. While the user is reviewing the documents, the terminal monitors the user's emotional state and provides a relaxing environment as needed.

[0379] Ultimately, the server sends the completed legal document to the service provider for review and revision. Throughout this process, communication between the user and the service provider is facilitated based on sentiment data, and the document is finally submitted to the administrative agency.

[0380] As a concrete example, consider a scenario where a user generates a contract for a real estate transaction. When the user enters the transaction terms, the terminal activates an emotional engine based on the input and provides appropriate feedback. For example, it might display a prompt such as, "Please enter the buyer's information. If you have trouble entering the information, we will display a detailed guide," providing a user-friendly experience.

[0381] This system is expected to enable more accurate and efficient legal procedures by allowing users to create documents that take their emotional state into consideration.

[0382] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0383] Step 1:

[0384] The user initiates legal proceedings using the terminal. As the user enters the necessary information via the terminal's interface, the terminal retrieves the input data. Simultaneously, the terminal uses an emotion engine to analyze the user's typing speed and voice tone to detect their emotional state. Specifically, if the user's input is slow or their voice tone is tense, the system determines that stress is being detected. The terminal's output consists of the entered information and the detected emotion data.

[0385] Step 2:

[0386] The terminal sends the collected information to the server. Upon receiving the input data and emotional state data, the server begins data analysis using a generative AI model. The server verifies the data's integrity and identifies any missing information or inconsistencies. Based on the analysis results, the server creates prompts that generate feedback or additional questions and sends them to the terminal. The terminal displays this feedback to the user and requests further input. The output includes the analysis results and prompts.

[0387] Step 3:

[0388] The user enters additional information according to the terminal's instructions and makes corrections as needed. The terminal sends this information back to the server, which checks again to see if any missing information has been resolved. The emotion engine monitors the user's emotional state throughout this process, and if signs of stress are detected, the terminal provides relaxing music or visual effects. The terminal's output is the user's new input information.

[0389] Step 4:

[0390] Once the server has completed its final information gathering, it automatically generates the necessary legal documents using a generative AI model. The server sends these documents to the terminal, giving the user the opportunity to review and revise them. The terminal continuously monitors the user's emotional state and provides support to reduce stress during the review process. The output of the terminal is the generated legal document.

[0391] Step 5:

[0392] The server sends the revised document to the employee and requests necessary review and revisions. The employee can review the document and make additional revisions. The final document is submitted to the designated agency via the server. The server also takes the user's emotional state into consideration during interactions with the employee. The output is the transmission of the final, reviewed legal document.

[0393] (Application Example 2)

[0394] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0395] In the creation of legal documents, human emotional states can influence the entire process, thus requiring a system that can accommodate emotional fluctuations while maintaining high accuracy and efficiency. Furthermore, a lack of means to smoothly manage procedures that involve stress and confusion remains a challenge.

[0396] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0397] In this invention, the server includes means for collecting necessary information using a data acquisition device, means for detecting and analyzing a person's emotional state using an emotion recognition device and adjusting the user experience, and means for automatically generating legal text in a standard format from the collected information using artificial intelligence. This makes it possible to smoothly proceed with the legal document creation process with high accuracy and efficiency while taking into account the person's emotional state.

[0398] A "data acquisition device" refers to hardware or software used to collect necessary information from users.

[0399] "Artificial intelligence" is a technology used to analyze collected information and automatically generate legal texts.

[0400] A "standardized legal text" refers to a document that is structured in a format prescribed by law.

[0401] A "display device" refers to a device used by a user to review and modify generated legal text.

[0402] "Professional" refers to an occupation that possesses legal knowledge and is responsible for reviewing and revising final documents.

[0403] "Public institutions" refers to administrative bodies to which documents are submitted in the final stages of legal proceedings.

[0404] An "emotion recognition device" is a device used to detect a user's emotional state and adjust processes and user experiences accordingly.

[0405] "User experience" refers to the overall experience a user has during the process of creating legal documents.

[0406] "Collected information" refers to users' personal information and data necessary for procedures collected by data acquisition devices.

[0407] "Resources" refer to the references and related data required for professional review and correction.

[0408] This system consists primarily of a data acquisition device, artificial intelligence, and an emotion recognition device. When a user inputs necessary information using a terminal, the data acquisition device collects that information. The user's input speed and voice tone are analyzed by the emotion recognition device to detect the user's emotional state. Based on this, the terminal adjusts the process and provides appropriate feedback to the user.

[0409] The server uses artificial intelligence to automatically generate standardized legal texts based on collected information and detected emotion data. This generated text can be reviewed and edited by the user on their device. Users can also receive support such as music played to help them relax, thanks to an emotion recognition device.

[0410] The final legal text is sent via the server to professionals for review and revision. Here again, access to resources is available, playing a role in facilitating the process. The revised legal text is then submitted to the public authority. The server notifies the terminal of the completion of the procedure.

[0411] For example, if a user experiences stress during an online payment, the emotion recognition system will activate and generate a prompt message: "The user appears to be experiencing stress. What kind of relaxing message or background music would be appropriate?" This allows the user to proceed with the transaction in a relaxed state.

[0412] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0413] Step 1:

[0414] The user enters legal information using a terminal. This input is sent as text data from the terminal to a data acquisition device. The data acquisition device formats this information and prepares it for transmission to a server.

[0415] Step 2:

[0416] The terminal analyzes the user's emotional state based on input type and voice tone using an emotion recognition device. This analysis result is generated as emotion data and sent to the server. During the emotion recognition process, data acquired from sensors is analyzed to quantify the user's stress level and emotional state.

[0417] Step 3:

[0418] The server combines information transmitted from the data acquisition device with emotional data obtained from the emotion recognition device, and uses artificial intelligence to detect missing information and automatically generate legal text in a standardized format. The input information is verified, and calculations are performed to identify any inconsistencies or omissions. The generated legal text is then ready to be sent to the terminal.

[0419] Step 4:

[0420] The user reviews and corrects the legal text generated on the device. During this process, an emotion recognition device continuously monitors the user's state and interacts with them as needed, such as by playing music to help them relax. The corrected text is then sent back to the server.

[0421] Step 5:

[0422] The server receives the user's revisions, sends the final legal text to the professional, and requests their review. During this process, the professional is provided with access to resources, allowing them to easily refer to the necessary information.

[0423] Step 6:

[0424] The legal text, once corrected by professionals, is submitted directly from the server to the public authority. The server then sends a completion notification to the user's terminal, informing them that the procedure is finished.

[0425] This overall system processing flow allows users to experience an efficient and accurate legal document creation process that takes their emotional state into consideration.

[0426] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0427] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0428] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0429] [Third Embodiment]

[0430] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0431] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0432] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0433] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0434] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0435] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0436] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0437] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0438] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0439] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0440] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0441] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0442] This invention provides a system that enables users to efficiently create documents required for legal proceedings. The system includes a data collection module, artificial intelligence, and document creation and submission functions, automating the entire process from information collection to submission via a terminal and server.

[0443] First, the user uses their device to input the information required for a specific legal procedure. For example, if a user wants to establish a corporation, they would input the corporation's name, address, and officer information into their device. This information is then sent from the device to the server.

[0444] On the server, artificial intelligence analyzes the information sent by the user. The analysis detects missing information and inconsistencies, and based on this, the AI ​​sends additional questions to the terminal. For example, if the executive information is incomplete, the AI ​​will ask the user for supplementary information such as, "Please tell me the executive's job title."

[0445] Once the user provides the necessary supplementary information, the server synthesizes all the information and uses artificial intelligence to automatically generate a standardized legal document. This generated document is sent to the terminal and displayed for the user to review. The user reviews the document and makes corrections if necessary.

[0446] The finalized legal document is sent from the server to the business expert's terminal. The business expert uses the terminal to review and revise the document based on their legal expertise and ultimately approves it. This approval process also includes the expert accessing legal data and reviewing reference materials.

[0447] Approved legal documents are submitted electronically to the designated administrative agency via the server, and a notification of completion is sent to the user's terminal, allowing them to confirm that their application has been successfully completed. In this way, it is possible to efficiently complete the necessary legal procedures for the user.

[0448] The following describes the processing flow.

[0449] Step 1:

[0450] The user uses a terminal to select a procedure for creating legal documents and enters the necessary information. This information includes basic data required for the procedure (e.g., name, address, contact information, etc.).

[0451] Step 2:

[0452] The terminal sends the entered information to the server. At this stage, a screen is displayed to the user confirming that the input is complete.

[0453] Step 3:

[0454] The artificial intelligence on the server analyzes the information sent by the user and detects missing information or inconsistencies. If detected, it generates a message indicating that supplementary information is needed.

[0455] Step 4:

[0456] The server sends a question to the terminal requesting supplementary information. The terminal displays the question to the user, allowing the user to enter additional information.

[0457] Step 5:

[0458] The user enters supplementary information and sends it back to the server via their device. This information is then re-analyzed by artificial intelligence.

[0459] Step 6:

[0460] The server automatically generates legal documents in a standardized format based on the results of artificial intelligence analysis. These documents are stored on the server as initial versions.

[0461] Step 7:

[0462] The server sends the generated legal document to the terminal, allowing the user to review its contents. The user then checks the document for errors on the terminal and makes corrections as needed.

[0463] Step 8:

[0464] The user submits the document they have reviewed and corrected to the server via their terminal. The finalized information is then prepared for submission to the relevant professional.

[0465] Step 9:

[0466] The server sends the final version of the legal document to the professional's terminal. The professional uses the terminal to review the document's contents and make revisions and provide advice from a professional perspective.

[0467] Step 10:

[0468] The server electronically submits the documents, once verified by the business expert, to the designated administrative agency. Finally, a notification of completion is sent to the user via their terminal.

[0469] (Example 1)

[0470] Next, we will describe Example 1. 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."

[0471] The preparation of documents required for legal procedures has traditionally been largely a manual process performed by individuals with specialized knowledge, making it challenging to improve efficiency and ensure accuracy. In particular, rework due to incomplete or incorrect information leads to increased time and costs, thus necessitating automation.

[0472] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0473] In this invention, the server includes means for collecting necessary information from the user using a computer device, means for automatically generating a document in a standard format from the collected information using a machine learning algorithm, and means for the user to review and modify the generated document on a display device. This makes it possible to improve the efficiency and accuracy of document creation required for legal procedures.

[0474] A "user" is an individual or legal entity that uses the system to input information necessary for legal proceedings and to review and modify the final document.

[0475] A "computer device" is an electronic device used by users to input necessary information, and is a device that transmits, receives, and processes data.

[0476] A "machine learning algorithm" is a program that analyzes collected information to identify deficiencies and inconsistencies and automatically generates documents in a standard format.

[0477] A "standard format document" is a document generated in a legally defined format and containing the information necessary for the procedure.

[0478] A "display device" refers to a device such as a display or monitor used by a user to review and modify generated documents.

[0479] A "business representative" is a professional with the knowledge to evaluate a finalized document and make revisions and approvals from a legal perspective.

[0480] "Relevant organizations" refers to public institutions such as government offices and organizations to which the final revised documents are submitted.

[0481] The following describes embodiments for carrying out the invention.

[0482] This system is designed to allow users to efficiently create the documents necessary for legal procedures. Users use their own devices to input the information required for specific procedures. Specifically, if a user wishes to establish a company, they would input data such as the company name, address, and officer information. This information collection utilizes a computer and an internet connection.

[0483] Information sent from the terminal reaches the server, where it is analyzed using machine learning algorithms. This analysis detects missing or inconsistent data. For example, if the server finds that an executive's job title is missing, it requests the user to provide the supplementary information. This entire process is supported by a generative AI model.

[0484] Once sufficient information has been gathered, the server automatically generates legal documents in a standard format using machine learning algorithms. These documents are sent to the user's terminal, where the user reviews the document and makes corrections as needed. The reviewed documents are then sent to the terminal of the relevant personnel for final review and correction by experts. Experts can access legal databases and consult necessary reference materials.

[0485] The finalized documents are submitted electronically to the relevant authorities by the server. Users confirm completion of the process by receiving a notification on their device. This system allows users to complete complex legal procedures quickly and accurately.

[0486] A concrete example would be a process where the system automatically prepares all the necessary documents when the user enters a prompt such as, "I want to prepare the documents to establish a new company."

[0487] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0488] Step 1:

[0489] The user uses a terminal to enter the information required for legal proceedings. This information includes company name, address, and officer information, and this data is transmitted to the server via the internet. The user provides information in fixed fields as input data on the terminal, and the output is passed to the server as digitized information.

[0490] Step 2:

[0491] The server analyzes information submitted by users using machine learning algorithms. This analysis detects missing or inconsistent data. Specifically, it identifies missing executive information and invalid address formats. The input is the data submitted by the user, and the output is a list of the data's integrity and any missing information.

[0492] Step 3:

[0493] The server sends additional questions to the terminal based on the analysis results. For example, it might generate a question asking for supplementary information, such as "Please enter the executive's job title." The data processing here involves generating questions to fill in information gaps. The input is a list of missing information, and the output is questions to obtain more detailed information.

[0494] Step 4:

[0495] The user enters supplementary information in response to additional questions displayed on the terminal. The entered information is then sent back to the server. The terminal receives this information and provides the server with any necessary supplementary data as output.

[0496] Step 5:

[0497] The server automatically generates legal documents in a standard format using a generative AI model with all the collected information. This process uses predefined templates and inserts user data. The input is a complete set of user information, and the output is a formatted legal document.

[0498] Step 6:

[0499] The user reviews the document generated on the terminal and makes corrections as needed. The displayed document is editable, and the output is sent to the server as reviewed or corrected document data.

[0500] Step 7:

[0501] The server sends the finalized document to the user's terminal, where experts evaluate the document from a legal perspective. The user makes any necessary corrections while referring to legal databases. The input is the document data for verification, and the output is the approved or revised document.

[0502] Step 8:

[0503] The server electronically submits the approved legal documents to the relevant authorities. Once the submission is complete, a completion notification is sent to the user's terminal. The output is a digital submission completion record to the authorities, and the user receives a confirmation notification.

[0504] (Application Example 1)

[0505] Next, we will explain Application Example 1. In the following explanation, 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."

[0506] In modern society, efficiently carrying out legal procedures requires not only the preparation of documents but also their submission and payment of related fees to be done quickly. However, managing these elements individually is time-consuming and laborious, placing a significant burden on users. Furthermore, delays in procedures are likely to occur if necessary information is missing or inconsistent.

[0507] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0508] In this invention, the server includes means for collecting necessary information from users using a data collection module, means for automatically generating legal documents in a standardized format from the collected information using artificial intelligence, and means for settling fees related to legal procedures using electronic transaction means. This enables centralized management and automation of the process from creating the necessary documents for legal procedures to electronic payment of fees and submission.

[0509] The "data collection module" is a function that collects necessary information from users and uses that information to create legal documents.

[0510] "Artificial intelligence" is a technology that analyzes collected information and automatically generates legal documents in standard formats.

[0511] A "standardized legal document" is a document in a format standardized by law, containing information necessary for a specific legal procedure.

[0512] "Display means" refers to a function that presents generated legal documents to users, allowing them to review and modify the contents.

[0513] A "professional" is an individual or organization that possesses legal knowledge and is responsible for reviewing and correcting generated documents.

[0514] An "administrative agency" is a public institution to which legal documents are submitted, and is an organization that has the function of accepting the documents necessary to carry out prescribed procedures.

[0515] "Electronic transaction method" refers to a system or service that has the function of electronically executing payments related to legal proceedings.

[0516] The system for realizing this invention involves linking the user's terminal, the server, and the expert's terminal.

[0517] First, the user's device provides an interface using a React Native application that allows users to easily input the information necessary for legal procedures. This information is securely transmitted to the server using AWS. The server runs on Node.js and uses OpenAI's generative AI model to analyze the information. The AI ​​model has the ability to automatically generate standardized legal documents from the input data and detect missing information or inconsistencies.

[0518] The generated documents are displayed to the user via a smartphone application, allowing them to review and modify the content. Once the modifications are complete, the documents are transferred to a specialist's terminal for final review and revision based on their legal expertise.

[0519] Documents that have been reviewed by experts are submitted to government agencies using the Stripe API as an electronic transaction method, with the necessary fees paid online. This reduces physical procedures and allows users to submit legal documents quickly and accurately.

[0520] As a concrete example, when an individual starts a small business, the system provides comprehensive support, from inputting the individual's information to creating, verifying, and submitting necessary documents to government agencies. By using prompts such as, "Please generate the necessary document templates for company incorporation. The officer information is as follows:...", the AI ​​quickly generates the appropriate documents.

[0521] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0522] Step 1:

[0523] The user's device displays an interface through a React Native application that allows them to input information necessary for legal procedures. The user uses this interface to enter information such as the company name and address, and securely transmits this data from their device to the server via AWS. The input data is structured in JSON format, facilitating processing on the server.

[0524] Step 2:

[0525] The server analyzes the received input data in a Node.js environment. The analyzed data is then fed into OpenAI's generative AI model to detect missing information and inconsistencies. Based on this data, the AI ​​generates prompt statements and provides necessary additional questions as feedback to the user's terminal. The output consists of a list of missing information and prompt statements based on that information.

[0526] Step 3:

[0527] The user's terminal presents the user with additional questions sent from the server. The user enters the additional information and sends it back to the server. This process is repeated until the missing information is resolved. The entered data is again sent to the server in a structured format.

[0528] Step 4:

[0529] The server automatically generates standardized legal documents using an OpenAI generative AI model based on complete information. The AI ​​model outputs legally valid document formats based on the input data. The generated documents are sent to the user's device in PDF format.

[0530] Step 5:

[0531] The user's device displays the generated document within the application. The user can review the content and make any necessary corrections. If corrections are needed, the user uses the application's editing function to send the corrected data to the server.

[0532] Step 6:

[0533] The server transfers the revised document to the expert's terminal. The expert receives the document on their terminal and performs a final review and revision based on their legal knowledge. After the revisions are complete, the document is returned to the server for final approval.

[0534] Step 7:

[0535] Based on the final approved documents, the server executes the electronic transaction procedure using the Stripe API and settles the fees related to the legal proceedings. At this time, a payment receipt notification is sent to the terminals of both the professional and the user.

[0536] Step 8:

[0537] The final documents and payment information are submitted electronically to the designated administrative agency via the server. A notification of submission completion is sent to the user's device, allowing the user to confirm that the procedure has been completed correctly.

[0538] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0539] This invention integrates an emotion engine into a legal document creation system to facilitate efficient document creation while recognizing the user's emotional state. The system supports a series of processes, from user information gathering to document generation, expert review, and final submission, via terminals and servers.

[0540] First, the user initiates the legal procedure process using a device. The user enters the necessary information through the interface displayed on the device. During this process, the emotion engine detects the user's emotional state based on their input, typing speed, and, in the case of voice input, their tone of voice. For example, if the user is feeling stressed, the emotion engine recognizes this and interactively adjusts the content and order of questions to support the user in a relaxed state of mind while entering information.

[0541] The device sends collected information and the user's emotional state to a server. On the server, artificial intelligence analyzes this data, detecting missing information and inconsistencies. An emotion engine generates appropriate feedback or additional questions based on the user's emotions and displays them on the device. For example, if the system detects that the user is confused, it will either simplify the questions or provide guidance messages.

[0542] Once all the information provided by the user is complete, the server uses artificial intelligence to automatically generate legal documents in a standardized format. The generated documents are sent to the user's terminal, where they can review and modify the content. To ensure the user can review the documents in a relaxed state, an emotion engine monitors the process and includes features such as playing calming music as needed.

[0543] The final legal document is sent to a specialist via the server for review and revision. User sentiment data is also utilized at this stage to facilitate communication. Once final review is complete, the server submits the document to the designated administrative agency and sends a notification of completion to the user's device.

[0544] This system is expected to provide users with a document creation experience that takes their emotional state into consideration, leading to improved document accuracy and procedural efficiency.

[0545] The following describes the processing flow.

[0546] Step 1:

[0547] The user initiates legal proceedings via the device and accesses an interface to enter the necessary information. The emotion engine then activates and evaluates the user's current emotional state based on their input speed and content.

[0548] Step 2:

[0549] The terminal sends the emotional state along with the input information to the server. The server analyzes the received data and checks whether all the necessary information is present and consistent.

[0550] Step 3:

[0551] Based on the user's emotional state, the server adjusts additional messages and questions to reduce user stress. For example, if the user is feeling anxious, it displays simple guidance on the device.

[0552] Step 4:

[0553] The user answers additional questions presented by the server via their device. The emotion engine tracks changes in the user's responses and adjusts its approach as needed.

[0554] Step 5:

[0555] The server uses artificial intelligence to automatically generate standardized legal documents based on a complete set of information obtained from the user. These documents are generated in PDF format and sent to the terminal.

[0556] Step 6:

[0557] The user reviews the legal documents generated on the device and makes corrections as needed. The emotion engine measures the user's level of concentration and provides features to promote relaxation as appropriate.

[0558] Step 7:

[0559] The revised document is sent from the terminal to the server. The server forwards the final version of the document to a business expert for legal review.

[0560] Step 8:

[0561] Business professionals use terminals to review documents and make necessary corrections. User sentiment data is also used to improve communication between professionals and users.

[0562] Step 9:

[0563] The server electronically submits the document, once final verification is complete, to the designated administrative agency. Upon completion of the submission, a notification of completion is sent to the user's device.

[0564] (Example 2)

[0565] Next, we will describe Example 2. 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."

[0566] Modern information processing systems require the efficient collection of data and creation of legal documents while recognizing the user's emotional state. However, conventional systems struggle to provide appropriate interfaces and responses that respond to user emotions, making it a challenge to balance improved user experience with the accuracy and efficiency of document creation.

[0567] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0568] In this invention, the server includes an interface means for collecting user information from the user and detecting their emotional state, means for generating and presenting emotionally adaptive feedback to the user, and means for providing a relaxed environment based on the user's emotional state. This enables interactive information gathering and appropriate document generation that takes the user's emotions into consideration.

[0569] An "interface" refers to a screen or function that allows a user to interact with a system and input or receive information.

[0570] "Emotionally adaptive feedback" refers to feedback that is adjusted in content and format according to the user's emotional state.

[0571] "Data collection means" refers to a method or device for efficiently collecting necessary information from users.

[0572] "Artificial intelligence" refers to a program or system that has the ability to analyze large amounts of data and automatically perform predetermined tasks.

[0573] A "standard format" refers to a standard format that adheres to specific purposes or standards.

[0574] "Person engaged in work" refers to a person who possesses advanced knowledge and experience in a specific specialized field and is responsible for performing specific tasks.

[0575] An "organization" is a public or private organization established for a specific function or purpose.

[0576] "Display means" refers to a device or function for visually presenting information to a user.

[0577] The embodiments for carrying out the present invention will be described as follows.

[0578] The system of this invention is designed to efficiently create legal documents while taking into account the user's emotional state. Specifically, it consists of key elements such as a terminal, a server, and an emotion engine.

[0579] First, the user initiates the legal process using the terminal. The terminal displays a user interface, allowing the user to input the necessary information. At this point, an emotion engine is integrated into the terminal, analyzing the user's input and typing speed to detect their emotional state. This information is used to provide interactive feedback to help the user relax while inputting information.

[0580] Next, the device sends the collected user information and emotional state data to the server. The server uses a generative AI model to analyze this data for consistency and to identify any missing information. Based on the analysis results, the server generates emotionally adaptive feedback and additional questions, which it then provides to the device.

[0581] Once all the necessary information from the user is received, the server uses a generative AI model to automatically generate legal documents in a standardized format. The generated documents are transferred to the terminal, where the user can review and modify them as needed. While the user is reviewing the documents, the terminal monitors the user's emotional state and provides a relaxing environment as needed.

[0582] Ultimately, the server sends the completed legal document to the service provider for review and revision. Throughout this process, communication between the user and the service provider is facilitated based on sentiment data, and the document is finally submitted to the administrative agency.

[0583] As a concrete example, consider a scenario where a user generates a contract for a real estate transaction. When the user enters the transaction terms, the terminal activates an emotional engine based on the input and provides appropriate feedback. For example, it might display a prompt such as, "Please enter the buyer's information. If you have trouble entering the information, we will display a detailed guide," providing a user-friendly experience.

[0584] This system is expected to enable more accurate and efficient legal procedures by allowing users to create documents that take their emotional state into consideration.

[0585] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0586] Step 1:

[0587] The user initiates legal proceedings using the terminal. As the user enters the necessary information via the terminal's interface, the terminal retrieves the input data. Simultaneously, the terminal uses an emotion engine to analyze the user's typing speed and voice tone to detect their emotional state. Specifically, if the user's input is slow or their voice tone is tense, the system determines that stress is being detected. The terminal's output consists of the entered information and the detected emotion data.

[0588] Step 2:

[0589] The terminal sends the collected information to the server. Upon receiving the input data and emotional state data, the server begins data analysis using a generative AI model. The server verifies the data's integrity and identifies any missing information or inconsistencies. Based on the analysis results, the server creates prompts that generate feedback or additional questions and sends them to the terminal. The terminal displays this feedback to the user and requests further input. The output includes the analysis results and prompts.

[0590] Step 3:

[0591] The user enters additional information according to the terminal's instructions and makes corrections as needed. The terminal sends this information back to the server, which checks again to see if any missing information has been resolved. The emotion engine monitors the user's emotional state throughout this process, and if signs of stress are detected, the terminal provides relaxing music or visual effects. The terminal's output is the user's new input information.

[0592] Step 4:

[0593] Once the server has completed its final information gathering, it automatically generates the necessary legal documents using a generative AI model. The server sends these documents to the terminal, giving the user the opportunity to review and revise them. The terminal continuously monitors the user's emotional state and provides support to reduce stress during the review process. The output of the terminal is the generated legal document.

[0594] Step 5:

[0595] The server sends the revised document to the employee and requests necessary review and revisions. The employee can review the document and make additional revisions. The final document is submitted to the designated agency via the server. The server also takes the user's emotional state into consideration during interactions with the employee. The output is the transmission of the final, reviewed legal document.

[0596] (Application Example 2)

[0597] Next, we will explain application example 2. In the following explanation, 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."

[0598] In the creation of legal documents, human emotional states can influence the entire process, thus requiring a system that can accommodate emotional fluctuations while maintaining high accuracy and efficiency. Furthermore, a lack of means to smoothly manage procedures that involve stress and confusion remains a challenge.

[0599] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0600] In this invention, the server includes means for collecting necessary information using a data acquisition device, means for detecting and analyzing a person's emotional state using an emotion recognition device and adjusting the user experience, and means for automatically generating legal text in a standard format from the collected information using artificial intelligence. This makes it possible to smoothly proceed with the legal document creation process with high accuracy and efficiency while taking into account the person's emotional state.

[0601] A "data acquisition device" refers to hardware or software used to collect necessary information from users.

[0602] "Artificial intelligence" is a technology used to analyze collected information and automatically generate legal texts.

[0603] A "standardized legal text" refers to a document that is structured in a format prescribed by law.

[0604] A "display device" refers to a device used by a user to review and modify generated legal text.

[0605] "Professional" refers to an occupation that possesses legal knowledge and is responsible for reviewing and revising final documents.

[0606] "Public institutions" refers to administrative bodies to which documents are submitted in the final stages of legal proceedings.

[0607] An "emotion recognition device" is a device used to detect a user's emotional state and adjust processes and user experiences accordingly.

[0608] "User experience" refers to the overall experience a user has during the process of creating legal documents.

[0609] "Collected information" refers to users' personal information and data necessary for procedures collected by data acquisition devices.

[0610] "Resources" refer to the references and related data required for professional review and correction.

[0611] This system consists primarily of a data acquisition device, artificial intelligence, and an emotion recognition device. When a user inputs necessary information using a terminal, the data acquisition device collects that information. The user's input speed and voice tone are analyzed by the emotion recognition device to detect the user's emotional state. Based on this, the terminal adjusts the process and provides appropriate feedback to the user.

[0612] The server uses artificial intelligence to automatically generate standardized legal texts based on collected information and detected emotion data. This generated text can be reviewed and edited by the user on their device. Users can also receive support such as music played to help them relax, thanks to an emotion recognition device.

[0613] The final legal text is sent via the server to professionals for review and revision. Here again, access to resources is available, playing a role in facilitating the process. The revised legal text is then submitted to the public authority. The server notifies the terminal of the completion of the procedure.

[0614] For example, if a user experiences stress during an online payment, the emotion recognition system will activate and generate a prompt message: "The user appears to be experiencing stress. What kind of relaxing message or background music would be appropriate?" This allows the user to proceed with the transaction in a relaxed state.

[0615] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0616] Step 1:

[0617] The user enters legal information using a terminal. This input is sent as text data from the terminal to a data acquisition device. The data acquisition device formats this information and prepares it for transmission to a server.

[0618] Step 2:

[0619] The terminal analyzes the user's emotional state based on input type and voice tone using an emotion recognition device. This analysis result is generated as emotion data and sent to the server. During the emotion recognition process, data acquired from sensors is analyzed to quantify the user's stress level and emotional state.

[0620] Step 3:

[0621] The server combines information transmitted from the data acquisition device with emotional data obtained from the emotion recognition device, and uses artificial intelligence to detect missing information and automatically generate legal text in a standardized format. The input information is verified, and calculations are performed to identify any inconsistencies or omissions. The generated legal text is then ready to be sent to the terminal.

[0622] Step 4:

[0623] The user reviews and corrects the legal text generated on the device. During this process, an emotion recognition device continuously monitors the user's state and interacts with them as needed, such as by playing music to help them relax. The corrected text is then sent back to the server.

[0624] Step 5:

[0625] The server receives the user's revisions, sends the final legal text to the professional, and requests their review. During this process, the professional is provided with access to resources, allowing them to easily refer to the necessary information.

[0626] Step 6:

[0627] The legal text, once corrected by professionals, is submitted directly from the server to the public authority. The server then sends a completion notification to the user's terminal, informing them that the procedure is finished.

[0628] This overall system processing flow allows users to experience an efficient and accurate legal document creation process that takes their emotional state into consideration.

[0629] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0630] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0631] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0632] [Fourth Embodiment]

[0633] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0634] As shown in Figure 7, the 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.

[0635] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0636] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0637] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0638] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0639] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0640] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0641] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0642] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0643] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0644] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0645] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0646] This invention provides a system that enables users to efficiently create documents required for legal proceedings. The system includes a data collection module, artificial intelligence, and document creation and submission functions, automating the entire process from information collection to submission via a terminal and server.

[0647] First, the user uses their device to input the information required for a specific legal procedure. For example, if a user wants to establish a corporation, they would input the corporation's name, address, and officer information into their device. This information is then sent from the device to the server.

[0648] On the server, artificial intelligence analyzes the information sent by the user. The analysis detects missing information and inconsistencies, and based on this, the AI ​​sends additional questions to the terminal. For example, if the executive information is incomplete, the AI ​​will ask the user for supplementary information such as, "Please tell me the executive's job title."

[0649] Once the user provides the necessary supplementary information, the server synthesizes all the information and uses artificial intelligence to automatically generate a standardized legal document. This generated document is sent to the terminal and displayed for the user to review. The user reviews the document and makes corrections if necessary.

[0650] The finalized legal document is sent from the server to the business expert's terminal. The business expert uses the terminal to review and revise the document based on their legal expertise and ultimately approves it. This approval process also includes the expert accessing legal data and reviewing reference materials.

[0651] Approved legal documents are submitted electronically to the designated administrative agency via the server, and a notification of completion is sent to the user's terminal, allowing them to confirm that their application has been successfully completed. In this way, it is possible to efficiently complete the necessary legal procedures for the user.

[0652] The following describes the processing flow.

[0653] Step 1:

[0654] The user uses a terminal to select a procedure for creating legal documents and enters the necessary information. This information includes basic data required for the procedure (e.g., name, address, contact information, etc.).

[0655] Step 2:

[0656] The terminal sends the entered information to the server. At this stage, a screen is displayed to the user confirming that the input is complete.

[0657] Step 3:

[0658] The artificial intelligence on the server analyzes the information sent by the user and detects missing information or inconsistencies. If detected, it generates a message indicating that supplementary information is needed.

[0659] Step 4:

[0660] The server sends a question to the terminal requesting supplementary information. The terminal displays the question to the user, allowing the user to enter additional information.

[0661] Step 5:

[0662] The user enters supplementary information and sends it back to the server via their device. This information is then re-analyzed by artificial intelligence.

[0663] Step 6:

[0664] The server automatically generates legal documents in a standardized format based on the results of artificial intelligence analysis. These documents are stored on the server as initial versions.

[0665] Step 7:

[0666] The server sends the generated legal document to the terminal, allowing the user to review its contents. The user then checks the document for errors on the terminal and makes corrections as needed.

[0667] Step 8:

[0668] The user submits the document they have reviewed and corrected to the server via their terminal. The finalized information is then prepared for submission to the relevant professional.

[0669] Step 9:

[0670] The server sends the final version of the legal document to the professional's terminal. The professional uses the terminal to review the document's contents and make revisions and provide advice from a professional perspective.

[0671] Step 10:

[0672] The server electronically submits the documents, once verified by the business expert, to the designated administrative agency. Finally, a notification of completion is sent to the user via their terminal.

[0673] (Example 1)

[0674] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0675] The preparation of documents required for legal procedures has traditionally been largely a manual process performed by individuals with specialized knowledge, making it challenging to improve efficiency and ensure accuracy. In particular, rework due to incomplete or incorrect information leads to increased time and costs, thus necessitating automation.

[0676] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0677] In this invention, the server includes means for collecting necessary information from the user using a computer device, means for automatically generating a document in a standard format from the collected information using a machine learning algorithm, and means for the user to review and modify the generated document on a display device. This makes it possible to improve the efficiency and accuracy of document creation required for legal procedures.

[0678] A "user" is an individual or legal entity that uses the system to input information necessary for legal proceedings and to review and modify the final document.

[0679] A "computer device" is an electronic device used by users to input necessary information, and is a device that transmits, receives, and processes data.

[0680] A "machine learning algorithm" is a program that analyzes collected information to identify deficiencies and inconsistencies and automatically generates documents in a standard format.

[0681] A "standard format document" is a document generated in a legally defined format and containing the information necessary for the procedure.

[0682] A "display device" refers to a device such as a display or monitor used by a user to review and modify generated documents.

[0683] A "business representative" is a professional with the knowledge to evaluate a finalized document and make revisions and approvals from a legal perspective.

[0684] "Relevant organizations" refers to public institutions such as government offices and organizations to which the final revised documents are submitted.

[0685] The following describes embodiments for carrying out the invention.

[0686] This system is designed to allow users to efficiently create the documents necessary for legal procedures. Users use their own devices to input the information required for specific procedures. Specifically, if a user wishes to establish a company, they would input data such as the company name, address, and officer information. This information collection utilizes a computer and an internet connection.

[0687] Information sent from the terminal reaches the server, where it is analyzed using machine learning algorithms. This analysis detects missing or inconsistent data. For example, if the server finds that an executive's job title is missing, it requests the user to provide the supplementary information. This entire process is supported by a generative AI model.

[0688] Once sufficient information has been gathered, the server automatically generates legal documents in a standard format using machine learning algorithms. These documents are sent to the user's terminal, where the user reviews the document and makes corrections as needed. The reviewed documents are then sent to the terminal of the relevant personnel for final review and correction by experts. Experts can access legal databases and consult necessary reference materials.

[0689] The finalized documents are submitted electronically to the relevant authorities by the server. Users confirm completion of the process by receiving a notification on their device. This system allows users to complete complex legal procedures quickly and accurately.

[0690] A concrete example would be a process where the system automatically prepares all the necessary documents when the user enters a prompt such as, "I want to prepare the documents to establish a new company."

[0691] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0692] Step 1:

[0693] The user uses a terminal to enter the information required for legal proceedings. This information includes company name, address, and officer information, and this data is transmitted to the server via the internet. The user provides information in fixed fields as input data on the terminal, and the output is passed to the server as digitized information.

[0694] Step 2:

[0695] The server analyzes information submitted by users using machine learning algorithms. This analysis detects missing or inconsistent data. Specifically, it identifies missing executive information and invalid address formats. The input is the data submitted by the user, and the output is a list of the data's integrity and any missing information.

[0696] Step 3:

[0697] The server sends additional questions to the terminal based on the analysis results. For example, it might generate a question asking for supplementary information, such as "Please enter the executive's job title." The data processing here involves generating questions to fill in information gaps. The input is a list of missing information, and the output is questions to obtain more detailed information.

[0698] Step 4:

[0699] The user enters supplementary information in response to additional questions displayed on the terminal. The entered information is then sent back to the server. The terminal receives this information and provides the server with any necessary supplementary data as output.

[0700] Step 5:

[0701] The server automatically generates legal documents in a standard format using a generative AI model with all the collected information. This process uses predefined templates and inserts user data. The input is a complete set of user information, and the output is a formatted legal document.

[0702] Step 6:

[0703] The user reviews the document generated on the terminal and makes corrections as needed. The displayed document is editable, and the output is sent to the server as reviewed or corrected document data.

[0704] Step 7:

[0705] The server sends the finalized document to the user's terminal, where experts evaluate the document from a legal perspective. The user makes any necessary corrections while referring to legal databases. The input is the document data for verification, and the output is the approved or revised document.

[0706] Step 8:

[0707] The server electronically submits the approved legal documents to the relevant authorities. Once the submission is complete, a completion notification is sent to the user's terminal. The output is a digital submission completion record to the authorities, and the user receives a confirmation notification.

[0708] (Application Example 1)

[0709] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0710] In modern society, efficiently carrying out legal procedures requires not only the preparation of documents but also their submission and payment of related fees to be done quickly. However, managing these elements individually is time-consuming and laborious, placing a significant burden on users. Furthermore, delays in procedures are likely to occur if necessary information is missing or inconsistent.

[0711] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0712] In this invention, the server includes means for collecting necessary information from users using a data collection module, means for automatically generating legal documents in a standardized format from the collected information using artificial intelligence, and means for settling fees related to legal procedures using electronic transaction means. This enables centralized management and automation of the process from creating the necessary documents for legal procedures to electronic payment of fees and submission.

[0713] The "data collection module" is a function that collects necessary information from users and uses that information to create legal documents.

[0714] "Artificial intelligence" is a technology that analyzes collected information and automatically generates legal documents in standard formats.

[0715] A "standardized legal document" is a document in a format standardized by law, containing information necessary for a specific legal procedure.

[0716] "Display means" refers to a function that presents generated legal documents to users, allowing them to review and modify the contents.

[0717] A "professional" is an individual or organization that possesses legal knowledge and is responsible for reviewing and correcting generated documents.

[0718] An "administrative agency" is a public institution to which legal documents are submitted, and is an organization that has the function of accepting the documents necessary to carry out prescribed procedures.

[0719] "Electronic transaction method" refers to a system or service that has the function of electronically executing payments related to legal proceedings.

[0720] The system for realizing this invention involves linking the user's terminal, the server, and the expert's terminal.

[0721] First, the user's device provides an interface using a React Native application that allows users to easily input the information necessary for legal procedures. This information is securely transmitted to the server using AWS. The server runs on Node.js and uses OpenAI's generative AI model to analyze the information. The AI ​​model has the ability to automatically generate standardized legal documents from the input data and detect missing information or inconsistencies.

[0722] The generated documents are displayed to the user via a smartphone application, allowing them to review and modify the content. Once the modifications are complete, the documents are transferred to a specialist's terminal for final review and revision based on their legal expertise.

[0723] Documents that have been reviewed by experts are submitted to government agencies using the Stripe API as an electronic transaction method, with the necessary fees paid online. This reduces physical procedures and allows users to submit legal documents quickly and accurately.

[0724] As a concrete example, when an individual starts a small business, the system provides comprehensive support, from inputting the individual's information to creating, verifying, and submitting necessary documents to government agencies. By using prompts such as, "Please generate the necessary document templates for company incorporation. The officer information is as follows:...", the AI ​​quickly generates the appropriate documents.

[0725] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0726] Step 1:

[0727] The user's device displays an interface through a React Native application that allows them to input information necessary for legal procedures. The user uses this interface to enter information such as the company name and address, and securely transmits this data from their device to the server via AWS. The input data is structured in JSON format, facilitating processing on the server.

[0728] Step 2:

[0729] The server analyzes the received input data in a Node.js environment. The analyzed data is then fed into OpenAI's generative AI model to detect missing information and inconsistencies. Based on this data, the AI ​​generates prompt statements and provides necessary additional questions as feedback to the user's terminal. The output consists of a list of missing information and prompt statements based on that information.

[0730] Step 3:

[0731] The user's terminal presents the user with additional questions sent from the server. The user enters the additional information and sends it back to the server. This process is repeated until the missing information is resolved. The entered data is again sent to the server in a structured format.

[0732] Step 4:

[0733] The server automatically generates standardized legal documents using an OpenAI generative AI model based on complete information. The AI ​​model outputs legally valid document formats based on the input data. The generated documents are sent to the user's device in PDF format.

[0734] Step 5:

[0735] The user's device displays the generated document within the application. The user can review the content and make any necessary corrections. If corrections are needed, the user uses the application's editing function to send the corrected data to the server.

[0736] Step 6:

[0737] The server transfers the revised document to the expert's terminal. The expert receives the document on their terminal and performs a final review and revision based on their legal knowledge. After the revisions are complete, the document is returned to the server for final approval.

[0738] Step 7:

[0739] Based on the final approved documents, the server executes the electronic transaction procedure using the Stripe API and settles the fees related to the legal proceedings. At this time, a payment receipt notification is sent to the terminals of both the professional and the user.

[0740] Step 8:

[0741] The final documents and payment information are submitted electronically to the designated administrative agency via the server. A notification of submission completion is sent to the user's device, allowing the user to confirm that the procedure has been completed correctly.

[0742] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0743] This invention integrates an emotion engine into a legal document creation system to facilitate efficient document creation while recognizing the user's emotional state. The system supports a series of processes, from user information gathering to document generation, expert review, and final submission, via terminals and servers.

[0744] First, the user initiates the legal procedure process using a device. The user enters the necessary information through the interface displayed on the device. During this process, the emotion engine detects the user's emotional state based on their input, typing speed, and, in the case of voice input, their tone of voice. For example, if the user is feeling stressed, the emotion engine recognizes this and interactively adjusts the content and order of questions to support the user in a relaxed state of mind while entering information.

[0745] The device sends collected information and the user's emotional state to a server. On the server, artificial intelligence analyzes this data, detecting missing information and inconsistencies. An emotion engine generates appropriate feedback or additional questions based on the user's emotions and displays them on the device. For example, if the system detects that the user is confused, it will either simplify the questions or provide guidance messages.

[0746] Once all the information provided by the user is complete, the server uses artificial intelligence to automatically generate legal documents in a standardized format. The generated documents are sent to the user's terminal, where they can review and modify the content. To ensure the user can review the documents in a relaxed state, an emotion engine monitors the process and includes features such as playing calming music as needed.

[0747] The final legal document is sent to a specialist via the server for review and revision. User sentiment data is also utilized at this stage to facilitate communication. Once final review is complete, the server submits the document to the designated administrative agency and sends a notification of completion to the user's device.

[0748] This system is expected to provide users with a document creation experience that takes their emotional state into consideration, leading to improved document accuracy and procedural efficiency.

[0749] The following describes the processing flow.

[0750] Step 1:

[0751] The user initiates legal proceedings via the device and accesses an interface to enter the necessary information. The emotion engine then activates and evaluates the user's current emotional state based on their input speed and content.

[0752] Step 2:

[0753] The terminal sends the emotional state along with the input information to the server. The server analyzes the received data and checks whether all the necessary information is present and consistent.

[0754] Step 3:

[0755] Based on the user's emotional state, the server adjusts additional messages and questions to reduce user stress. For example, if the user is feeling anxious, it displays simple guidance on the device.

[0756] Step 4:

[0757] The user answers additional questions presented by the server via their device. The emotion engine tracks changes in the user's responses and adjusts its approach as needed.

[0758] Step 5:

[0759] The server uses artificial intelligence to automatically generate standardized legal documents based on a complete set of information obtained from the user. These documents are generated in PDF format and sent to the terminal.

[0760] Step 6:

[0761] The user reviews the legal documents generated on the device and makes corrections as needed. The emotion engine measures the user's level of concentration and provides features to promote relaxation as appropriate.

[0762] Step 7:

[0763] The revised document is sent from the terminal to the server. The server forwards the final version of the document to a business expert for legal review.

[0764] Step 8:

[0765] Business professionals use terminals to review documents and make necessary corrections. User sentiment data is also used to improve communication between professionals and users.

[0766] Step 9:

[0767] The server electronically submits the document, once final verification is complete, to the designated administrative agency. Upon completion of the submission, a notification of completion is sent to the user's device.

[0768] (Example 2)

[0769] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0770] Modern information processing systems require the efficient collection of data and creation of legal documents while recognizing the user's emotional state. However, conventional systems struggle to provide appropriate interfaces and responses that respond to user emotions, making it a challenge to balance improved user experience with the accuracy and efficiency of document creation.

[0771] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0772] In this invention, the server includes an interface means for collecting user information from the user and detecting their emotional state, means for generating and presenting emotionally adaptive feedback to the user, and means for providing a relaxed environment based on the user's emotional state. This enables interactive information gathering and appropriate document generation that takes the user's emotions into consideration.

[0773] An "interface" refers to a screen or function that allows a user to interact with a system and input or receive information.

[0774] "Emotionally adaptive feedback" refers to feedback that is adjusted in content and format according to the user's emotional state.

[0775] "Data collection means" refers to a method or device for efficiently collecting necessary information from users.

[0776] "Artificial intelligence" refers to a program or system that has the ability to analyze large amounts of data and automatically perform predetermined tasks.

[0777] A "standard format" refers to a standard format that adheres to specific purposes or standards.

[0778] "Person engaged in work" refers to a person who possesses advanced knowledge and experience in a specific specialized field and is responsible for performing specific tasks.

[0779] An "organization" is a public or private organization established for a specific function or purpose.

[0780] "Display means" refers to a device or function for visually presenting information to a user.

[0781] The embodiments for carrying out the present invention will be described as follows.

[0782] The system of this invention is designed to efficiently create legal documents while taking into account the user's emotional state. Specifically, it consists of key elements such as a terminal, a server, and an emotion engine.

[0783] First, the user initiates the legal process using the terminal. The terminal displays a user interface, allowing the user to input the necessary information. At this point, an emotion engine is integrated into the terminal, analyzing the user's input and typing speed to detect their emotional state. This information is used to provide interactive feedback to help the user relax while inputting information.

[0784] Next, the device sends the collected user information and emotional state data to the server. The server uses a generative AI model to analyze this data for consistency and to identify any missing information. Based on the analysis results, the server generates emotionally adaptive feedback and additional questions, which it then provides to the device.

[0785] Once all the necessary information from the user is received, the server uses a generative AI model to automatically generate legal documents in a standardized format. The generated documents are transferred to the terminal, where the user can review and modify them as needed. While the user is reviewing the documents, the terminal monitors the user's emotional state and provides a relaxing environment as needed.

[0786] Ultimately, the server sends the completed legal document to the service provider for review and revision. Throughout this process, communication between the user and the service provider is facilitated based on sentiment data, and the document is finally submitted to the administrative agency.

[0787] As a concrete example, consider a scenario where a user generates a contract for a real estate transaction. When the user enters the transaction terms, the terminal activates an emotional engine based on the input and provides appropriate feedback. For example, it might display a prompt such as, "Please enter the buyer's information. If you have trouble entering the information, we will display a detailed guide," providing a user-friendly experience.

[0788] This system is expected to enable more accurate and efficient legal procedures by allowing users to create documents that take their emotional state into consideration.

[0789] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0790] Step 1:

[0791] The user initiates legal proceedings using the terminal. As the user enters the necessary information via the terminal's interface, the terminal retrieves the input data. Simultaneously, the terminal uses an emotion engine to analyze the user's typing speed and voice tone to detect their emotional state. Specifically, if the user's input is slow or their voice tone is tense, the system determines that stress is being detected. The terminal's output consists of the entered information and the detected emotion data.

[0792] Step 2:

[0793] The terminal sends the collected information to the server. Upon receiving the input data and emotional state data, the server begins data analysis using a generative AI model. The server verifies the data's integrity and identifies any missing information or inconsistencies. Based on the analysis results, the server creates prompts that generate feedback or additional questions and sends them to the terminal. The terminal displays this feedback to the user and requests further input. The output includes the analysis results and prompts.

[0794] Step 3:

[0795] The user enters additional information according to the terminal's instructions and makes corrections as needed. The terminal sends this information back to the server, which checks again to see if any missing information has been resolved. The emotion engine monitors the user's emotional state throughout this process, and if signs of stress are detected, the terminal provides relaxing music or visual effects. The terminal's output is the user's new input information.

[0796] Step 4:

[0797] Once the server has completed its final information gathering, it automatically generates the necessary legal documents using a generative AI model. The server sends these documents to the terminal, giving the user the opportunity to review and revise them. The terminal continuously monitors the user's emotional state and provides support to reduce stress during the review process. The output of the terminal is the generated legal document.

[0798] Step 5:

[0799] The server sends the revised document to the employee and requests necessary review and revisions. The employee can review the document and make additional revisions. The final document is submitted to the designated agency via the server. The server also takes the user's emotional state into consideration during interactions with the employee. The output is the transmission of the final, reviewed legal document.

[0800] (Application Example 2)

[0801] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0802] In the creation of legal documents, human emotional states can influence the entire process, thus requiring a system that can accommodate emotional fluctuations while maintaining high accuracy and efficiency. Furthermore, a lack of means to smoothly manage procedures that involve stress and confusion remains a challenge.

[0803] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0804] In this invention, the server includes means for collecting necessary information using a data acquisition device, means for detecting and analyzing a person's emotional state using an emotion recognition device and adjusting the user experience, and means for automatically generating legal text in a standard format from the collected information using artificial intelligence. This makes it possible to smoothly proceed with the legal document creation process with high accuracy and efficiency while taking into account the person's emotional state.

[0805] A "data acquisition device" refers to hardware or software used to collect necessary information from users.

[0806] "Artificial intelligence" is a technology used to analyze collected information and automatically generate legal texts.

[0807] A "standardized legal text" refers to a document that is structured in a format prescribed by law.

[0808] A "display device" refers to a device used by a user to review and modify generated legal text.

[0809] "Professional" refers to an occupation that possesses legal knowledge and is responsible for reviewing and revising final documents.

[0810] "Public institutions" refers to administrative bodies to which documents are submitted in the final stages of legal proceedings.

[0811] An "emotion recognition device" is a device used to detect a user's emotional state and adjust processes and user experiences accordingly.

[0812] "User experience" refers to the overall experience a user has during the process of creating legal documents.

[0813] "Collected information" refers to users' personal information and data necessary for procedures collected by data acquisition devices.

[0814] "Resources" refer to the references and related data required for professional review and correction.

[0815] This system consists primarily of a data acquisition device, artificial intelligence, and an emotion recognition device. When a user inputs necessary information using a terminal, the data acquisition device collects that information. The user's input speed and voice tone are analyzed by the emotion recognition device to detect the user's emotional state. Based on this, the terminal adjusts the process and provides appropriate feedback to the user.

[0816] The server uses artificial intelligence to automatically generate standardized legal texts based on collected information and detected emotion data. This generated text can be reviewed and edited by the user on their device. Users can also receive support such as music played to help them relax, thanks to an emotion recognition device.

[0817] The final legal text is sent via the server to professionals for review and revision. Here again, access to resources is available, playing a role in facilitating the process. The revised legal text is then submitted to the public authority. The server notifies the terminal of the completion of the procedure.

[0818] For example, if a user experiences stress during an online payment, the emotion recognition system will activate and generate a prompt message: "The user appears to be experiencing stress. What kind of relaxing message or background music would be appropriate?" This allows the user to proceed with the transaction in a relaxed state.

[0819] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0820] Step 1:

[0821] The user enters legal information using a terminal. This input is sent as text data from the terminal to a data acquisition device. The data acquisition device formats this information and prepares it for transmission to a server.

[0822] Step 2:

[0823] The terminal analyzes the user's emotional state based on input type and voice tone using an emotion recognition device. This analysis result is generated as emotion data and sent to the server. During the emotion recognition process, data acquired from sensors is analyzed to quantify the user's stress level and emotional state.

[0824] Step 3:

[0825] The server combines information transmitted from the data acquisition device with emotional data obtained from the emotion recognition device, and uses artificial intelligence to detect missing information and automatically generate legal text in a standardized format. The input information is verified, and calculations are performed to identify any inconsistencies or omissions. The generated legal text is then ready to be sent to the terminal.

[0826] Step 4:

[0827] The user reviews and corrects the legal text generated on the device. During this process, an emotion recognition device continuously monitors the user's state and interacts with them as needed, such as by playing music to help them relax. The corrected text is then sent back to the server.

[0828] Step 5:

[0829] The server receives the user's revisions, sends the final legal text to the professional, and requests their review. During this process, the professional is provided with access to resources, allowing them to easily refer to the necessary information.

[0830] Step 6:

[0831] The legal text, once corrected by professionals, is submitted directly from the server to the public authority. The server then sends a completion notification to the user's terminal, informing them that the procedure is finished.

[0832] This overall system processing flow allows users to experience an efficient and accurate legal document creation process that takes their emotional state into consideration.

[0833] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0834] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0835] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0836] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0837] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0838] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0839] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0840] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0841] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0842] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0843] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0844] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0845] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0846] 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.

[0847] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0848] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0849] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0850] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0851] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0852] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0853] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0854] The following is further disclosed regarding the embodiments described above.

[0855] (Claim 1)

[0856] A means of collecting necessary information from users using a data collection module,

[0857] A means of automatically generating legal documents in a standardized format from information collected using artificial intelligence,

[0858] A means for users to review and modify the generated legal documents,

[0859] A means of sending the final legal document to a professional for review and revision,

[0860] The means of submitting the revised legal document to the designated administrative agency,

[0861] A system that includes this.

[0862] (Claim 2)

[0863] The system according to claim 1, further comprising means for artificial intelligence to detect missing information or inconsistencies based on collected information and present them to the user.

[0864] (Claim 3)

[0865] The system according to claim 1, further comprising means for accessing necessary references and legal data during review and correction by business experts.

[0866] "Example 1"

[0867] (Claim 1)

[0868] A means of collecting necessary information from users using computer equipment,

[0869] A means of automatically generating documents in a standard format from collected information using machine learning algorithms,

[0870] A means for the user to view and modify the generated document on a display device,

[0871] A means of sending the finalized document to the person in charge of the project and requesting evaluation and changes,

[0872] Means for sending the revised document to the relevant organizations,

[0873] A system that includes this.

[0874] (Claim 2)

[0875] The system according to claim 1, further comprising means for a machine learning algorithm to identify information gaps or inconsistencies based on the collected information and present them to the user.

[0876] (Claim 3)

[0877] The system according to claim 1, further comprising means for accessing necessary information sources and legal data when performing evaluations and modifications by the person in charge of operations.

[0878] "Application Example 1"

[0879] (Claim 1)

[0880] A means of collecting necessary information from users using a data collection module,

[0881] A method for automatically generating standardized legal documents from information collected using artificial intelligence,

[0882] A means for users to review and modify the generated legal documents,

[0883] A means of sending the final legal documents to a professional for review and correction,

[0884] The means of submitting the revised legal documents to the designated administrative agency,

[0885] A means of settling legal fees using electronic transaction methods,

[0886] A system that includes this.

[0887] (Claim 2)

[0888] The system according to claim 1, further comprising means for artificial intelligence to detect missing information or inconsistencies based on collected information and present them to the user.

[0889] (Claim 3)

[0890] The system according to claim 1, further comprising means for accessing necessary references and legal data during expert review and revision.

[0891] "Example 2 of combining an emotion engine"

[0892] (Claim 1)

[0893] An interface means for collecting user information from users and detecting their emotional state,

[0894] A means of generating and presenting emotionally adaptive feedback to the user,

[0895] A data collection method for collecting necessary information from users,

[0896] A means of automatically generating legal documents in a standardized format from information collected using artificial intelligence,

[0897] A means for users to review and modify the generated legal documents,

[0898] A means of providing a relaxed environment based on the user's emotional state,

[0899] A means of sending the final legal document to the personnel involved and requesting their review and revisions,

[0900] Means of submitting the revised legal documents to the agency,

[0901] A system that includes this.

[0902] (Claim 2)

[0903] The system according to claim 1, further comprising means for artificial intelligence to detect missing information or inconsistencies based on collected information and present them to the user.

[0904] (Claim 3)

[0905] The system according to claim 1, further comprising means for accessing necessary reference materials and legal data when employees perform their duties to review and correct them.

[0906] "Application example 2 when combining with an emotional engine"

[0907] (Claim 1)

[0908] A means of collecting necessary information from humans using a data acquisition device,

[0909] A means of automatically generating legal text in a standardized format from information collected using artificial intelligence,

[0910] A display device for human review and correction of the generated legal text,

[0911] A means of sending the final legal text to a professional for review and revision,

[0912] The means of submitting the revised legal text to the designated public institution,

[0913] A means for detecting and analyzing a person's emotional state using an emotion recognition device and adjusting the user experience,

[0914] A system that includes this.

[0915] (Claim 2)

[0916] The system according to claim 1, further comprising means for artificial intelligence to detect missing information or inconsistencies based on collected information and present them to a human.

[0917] (Claim 3)

[0918] The system according to claim 1, further comprising means for accessing necessary resources and legal data during professional review and correction. [Explanation of symbols]

[0919] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of collecting necessary information from users using a data collection module, A method for automatically generating standardized legal documents from information collected using artificial intelligence, A means for users to review and modify the generated legal documents, A means of sending the final legal documents to a professional for review and correction, The means of submitting the revised legal documents to the designated administrative agency, A means of settling legal fees using electronic transaction methods, A system that includes this.

2. The system according to claim 1, further comprising means for artificial intelligence to detect missing information or inconsistencies based on collected information and present them to the user.

3. The system according to claim 1, further comprising means for accessing necessary references and legal data during expert review and revision.

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