Legal service platform based on block chain and artificial intelligence

Abstract

The invention discloses a legal service platform based on a block chain and artificial intelligence, and the platform comprises a case information storage module which is responsible for receiving case information, carrying out the preprocessing, encryption and packaging of the received case information, writing the information into a block chain, and generating a hash value for the verification and tracking of data. The case information is stored through the block chain technology, the authenticity and non-tampering property of the data are ensured, meanwhile, the data security is protected by adopting the advanced encryption technology, the problems of information tampering, information loss and the like are effectively avoided, and the credibility and credibility of legal services are improved; intelligent analysis of case contents and automatic generation of mediation suggestions are realized by utilizing an artificial intelligence technology, and automatic management of case flows is realized by combining an intelligent contract technology, so that the efficiency and accuracy of legal services are remarkably improved, and the cost of manual operation and the time cost are reduced.

Description

Technical Field

[0001] The present application relates to the field of legal platform technology, and specifically to a legal service platform based on blockchain and artificial intelligence. Background Art

[0002] With the rapid development of information technology, blockchain and artificial intelligence, as two cutting-edge technologies, are gradually penetrating into various fields of society. Blockchain technology, with its characteristics of decentralization, data immutability and transparency, provides a strong guarantee for the authenticity and security of data; and artificial intelligence technology, especially natural language processing, machine learning and data analysis, has shown great potential in intelligent processing, automated decision-making and predictive analysis.

[0003] In the field of legal services, traditional legal service platforms mostly rely on manual operations and paper documents, which are not only inefficient but also prone to problems such as information tampering and loss. With the continuous increase in the number of cases and the increasing complexity of legal services, traditional legal service platforms have been unable to meet the needs of efficient, accurate and secure legal services. Therefore, the introduction of blockchain and artificial intelligence technologies into legal service platforms has become an important trend in the development of the legal services industry.

[0004] However, the existing legal service platforms still have many shortcomings in the application of blockchain and artificial intelligence technologies. For example, although some platforms have adopted blockchain technology for data storage, they have failed to give full play to the advantages of blockchain in terms of data immutability and transparency, resulting in problems with data security. At the same time, some platforms are also unable to cope with the application of artificial intelligence technology, and the effects of intelligent mediation and automated management are not ideal, which limits the further development of legal service platforms. Summary of the invention

[0005] To this end, this application provides a legal service platform based on blockchain and artificial intelligence to solve the problems of insufficient data security of existing legal service platforms in the prior art, as well as unsatisfactory effects of intelligent mediation and automated management.

[0006] In order to achieve the above objectives, this application provides the following technical solutions:

[0007] A legal service platform based on blockchain and artificial intelligence, including:

[0008] The case information storage module is responsible for receiving case information, preprocessing, encrypting and encapsulating the received case information, and writing it into the blockchain, while generating a hash value for data verification and tracking;

[0009] The AI ​​intelligent mediation module is responsible for receiving case content from the case information storage module, preprocessing and semantically analyzing the case content, matching similar cases and generating mediation suggestions;

[0010] The case process management module is responsible for receiving case information and mediation suggestions from the case information storage module and the AI ​​intelligent mediation module, monitoring the case status in real time and automatically triggering process updates, while ensuring that case information is synchronized to the court and other authorized nodes in real time;

[0011] The data security module is responsible for receiving sensitive case information from the case information storage module, AI intelligent mediation module, and case process management module, and encrypting and storing sensitive information, performing differential privacy processing, and performing access control to ensure the security, privacy, and integrity of data during transmission and storage;

[0012] The multi-node collaboration module is responsible for receiving encrypted case information from the data security module, and providing real-time updated case information to the case information storage module, AI intelligent mediation module, and case process management module. It shares data based on blockchain alliance chain technology and synchronizes case progress information.

[0013] Furthermore: the case information received by the case information storage module comes from other modules of this platform or external case information, and provides case information to the AI ​​intelligent mediation module and the case process management module, while supporting data sharing through a multi-node collaboration module.

[0014] Furthermore: The case content received by the AI ​​intelligent mediation module includes case description, evidence materials, and statements from both parties. The AI ​​intelligent mediation module also provides the case process management module with mediation results and generated document information.

[0015] Further: the case process management module provides the case information that needs to be encrypted and protected to the data security module, and shares and synchronizes data with other systems or nodes through the multi-node collaboration module.

[0016] Further: the case information storage module includes:

[0017] The blockchain storage unit is responsible for information reception and preprocessing, information encryption and packaging, writing to the blockchain, and data synchronization and updating;

[0018] The hash value generation unit is responsible for information extraction, hash value calculation, hash value storage and association, and data verification and tracking.

[0019] Further: AI intelligent mediation module includes:

[0020] The mediation suggestion generation unit is responsible for case content reception and preprocessing, semantic analysis, similar case matching, and mediation suggestion generation;

[0021] Emotion recognition unit, responsible for voice and video data collection, feature extraction, emotion recognition, and emotion analysis and application;

[0022] The document automatic generation unit is responsible for template selection and configuration, content filling and generation, review and modification, as well as document output and archiving.

[0023] Further: The case process management module includes:

[0024] Smart contract triggering unit, responsible for smart contract design and deployment, case status monitoring, automatic triggering process updates, exception handling and alarms;

[0025] The data synchronization unit is responsible for API interface design and development, real-time synchronization of case information, data consistency and verification, and log recording and monitoring.

[0026] Further: The data security module includes:

[0027] The encryption storage unit is responsible for sensitive information identification, AES-256 algorithm application, key management, and encrypted data storage;

[0028] The differential privacy processing unit is responsible for data noise addition, privacy budget allocation, and data analysis support;

[0029] The access control unit is responsible for access behavior recording, role permission management, access auditing and alarming.

[0030] Going a step further: The multi-node collaboration module includes:

[0031] The data sharing unit is responsible for the implementation of blockchain consortium chain technology, case progress synchronization, information encryption and decryption, and data access log recording;

[0032] The access permission management unit is responsible for the role permission management system configuration, dynamic permission adjustment, permission review and monitoring, and permission revocation and restoration.

[0033] Compared with the prior art, this application has at least the following beneficial effects:

[0034] (1) Blockchain technology is used to store case information, ensuring the authenticity and immutability of data. Advanced encryption technology is used to protect data security, effectively avoiding information tampering and loss, and improving the credibility and trustworthiness of legal services;

[0035] (ii) Using artificial intelligence technology to achieve intelligent analysis of case content and automatic generation of mediation suggestions, while combining smart contract technology to achieve automated management of case processes, significantly improving the efficiency and accuracy of legal services and reducing the cost and time of manual operations;

[0036] (3) Differential privacy processing technology is used to add noise to the original data to protect sensitive information from being reversed. At the same time, all access behaviors to the data are recorded and role permission management, access auditing and alarm are performed to ensure the integrity of data security and privacy protection;

[0037] (IV) Utilize blockchain alliance chain technology to build a secure, decentralized data sharing platform to achieve real-time synchronization of case information and real-time collaboration among multiple parties, improve the transparency and traceability of case handling, and provide strong support for the modernization and intelligence of legal services. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings should not generally be regarded as limiting conditions for implementing the present application; for example, those skilled in the art are capable of easily making conventional adjustments or further optimizations to the addition / reduction / attribution division, specific shapes, positional relationships, connection methods, dimensional ratios, etc. of certain units (components) based on the technical concepts and exemplary drawings disclosed in the present application.

[0039] Figure 1 Schematic diagram of the structure of the legal service platform based on blockchain and artificial intelligence provided for this application. DETAILED DESCRIPTION

[0040] The present application is further described below in detail through specific embodiments in conjunction with the accompanying drawings.

[0041] See also Figure 1 , a legal service platform based on blockchain and artificial intelligence, including case information storage module, AI intelligent mediation module, case process management module, data security module, and multi-node collaboration module;

[0042] (1) The case information storage module includes a blockchain storage unit and a hash value generation unit. It stores case information based on blockchain technology to ensure the authenticity and immutability of data, which helps to improve the efficiency and credibility of legal services. The specific contents are as follows:

[0043] a. Blockchain storage unit, responsible for information reception and preprocessing, information encryption and packaging, writing to the blockchain, and data synchronization and update, as follows:

[0044] Information reception and preprocessing: This unit receives case information from other modules of the system or external input, including basic case information (such as case number, party information, case type, etc.), case progress, evidence materials, etc. After receiving the information, the unit preprocesses the information, such as formatting, deduplication, data cleaning, etc., to ensure the accuracy and consistency of the information;

[0045] Information encryption and encapsulation: This unit encrypts the pre-processed information using symmetric or asymmetric encryption technology, depending on the security requirements of the system. The encrypted information will be encapsulated into a specific data structure, such as a transaction, so that it can be written into the blockchain later, thereby protecting the privacy and security of the case information;

[0046] Writing to the blockchain: The encapsulated data structure will be submitted to the blockchain network. In the blockchain network, the data structure will be broadcast to all nodes and verified by the consensus algorithm. Once the transaction is verified, the data structure will be added to the end of the blockchain to form a new block. In this way, the case information is securely stored in the distributed ledger, ensuring the authenticity and immutability of the data.

[0047] Data synchronization and update: In order to ensure data consistency among all nodes in the blockchain network, the unit will regularly synchronize data with other nodes. In addition, when case information is updated (such as case progress, judgment results, etc.), the unit will also encapsulate the updated information into a data structure and write it to the blockchain to achieve real-time data updates;

[0048] b. Hash value generation unit, responsible for information extraction, hash value calculation, hash value storage and association, and data verification and tracking, as follows:

[0049] Information extraction: This unit extracts key information from the case information received from the blockchain storage unit, including the title of the case, the names of the parties involved, the case type, etc. The extracted key information will be used to generate a hash value;

[0050] Hash value calculation: The unit performs hash calculation on the extracted key information using the SHA-256 algorithm, which is a widely used cryptographic hash function that can convert data of any length into a fixed-length (256-bit) hash value. This hash value will serve as the unique identifier of the case information.

[0051] Hash value storage and association: The calculated hash value will be stored in the system and associated with the corresponding case information. In this way, in the subsequent data verification and tracking process, the corresponding case information can be quickly located through the hash value;

[0052] Data verification and tracking: When case information needs to be verified or tracked, the system can recalculate the hash value of the extracted key information and compare it with the stored hash value. If the two are consistent, it means that the case information has not been tampered with during the transmission and storage process; if they are inconsistent, it means that there may be data security issues. In addition, the hash value can also be used to track the source and flow path of the case information, which helps to achieve data transparency and traceability.

[0053] (2) The AI ​​intelligent mediation module includes a mediation suggestion generation unit, an emotion recognition unit, and an automatic document generation unit. The synergy of these three units is conducive to improving the efficiency and success rate of actual mediation work. The specific contents are as follows:

[0054] a. Mediation suggestion generation unit, responsible for case content reception and preprocessing, semantic analysis, similar case matching and mediation suggestion generation, as follows:

[0055] Case content reception and preprocessing: This unit first receives the case content from the case information storage module, including case description, evidence materials, statements of both parties, etc., and then preprocesses the received case content, such as text cleaning, word segmentation, part-of-speech tagging, etc., for subsequent semantic analysis;

[0056] Semantic analysis: Using natural language processing (NLP) technology, we conduct in-depth semantic analysis on the pre-processed case content, including identifying key information in the case, extracting the key points of the case, and understanding the case background. Through semantic analysis, we can more accurately grasp the core issues and controversial points of the case.

[0057] Similar case matching: Based on semantic analysis, this unit will use machine learning algorithms to match historical cases similar to the current case in the platform's case database. The basis for matching may include case type, dispute focus, legal clauses involved, etc. By matching similar cases, it can provide mediators with valuable reference cases and solutions;

[0058] Mediation suggestion generation: Based on the matching results of similar cases and the actual situation of the current case, the unit will generate intelligent mediation suggestions, including mediation plans, mediation strategies, mediation timetables, etc. These suggestions are designed to help mediators conduct mediation more efficiently and improve the success rate of mediation;

[0059] b. Emotion recognition unit, responsible for voice and video data collection, feature extraction, emotion recognition, and emotion analysis and application, as follows:

[0060] Voice and video data collection: During the mediation process, the unit will collect voice and video data from both parties in real time, which is the basis for emotion recognition;

[0061] Feature extraction: Extract features from the collected voice and video data, including extracting features such as voice pitch, speaking speed, volume, and facial expressions and postures in the video. These features can reflect the emotional state of the parties involved.

[0062] Emotion recognition: Using deep learning models to perform emotion recognition on extracted features, deep learning models can identify a variety of emotional states, such as anger, sadness, joy, surprise, etc. Through emotion recognition, we can understand the emotional changes of the parties during the mediation process and provide real-time emotional feedback to the mediator;

[0063] Emotional analysis and application: After identifying the emotional state, the unit will further analyze the emotion, including the intensity, duration, and changing trend of the emotion. The results of the emotional analysis will then be applied to the mediation process to help mediators better grasp the mediation rhythm and strategy. For example, when it is found that the parties are too emotional, the mediator can take appropriate measures to appease and guide them.

[0064] c. The document automatic generation unit is responsible for template selection and configuration, content filling and generation, review and modification, and document output and archiving, as follows:

[0065] Template selection and configuration: Based on the type of mediation and the type of document to be generated, the unit selects the corresponding template from the platform's knowledge base, including the mediation agreement template, mediation transcript template, etc., and then configures the template, such as filling in the basic information of the case, the information of the parties, etc.;

[0066] Content filling and generation: Based on the template configuration, the unit automatically fills in the relevant content in the template according to the data generated during the mediation process and the mediation results, such as the mediation clauses and mediation results in the mediation agreement, and then uses natural language generation technology to convert the filled template into a formal legal document;

[0067] Review and modification: The generated documents will be automatically reviewed by the system to check for grammatical errors, logical errors and other problems. If any problems are found, the system will automatically correct them or prompt the mediator to make modifications. After the review is passed, the generated documents will be saved in the system as the official result of the mediation for subsequent use;

[0068] Document output and archiving: This unit will output the generated documents into a printable or electronic format and archive them into the system's document management module so that mediators can review and call these documents at any time, thereby improving the efficiency and convenience of mediation work.

[0069] (3) The case process management module includes a smart contract trigger unit and a data synchronization unit. Through the synergy of the smart contract trigger unit and the data synchronization unit, the full process of case management from case filing to case closing can be realized, and the smooth progress of the case process and the real-time sharing of information can be ensured, which is conducive to improving the efficiency and accuracy of legal services, and can also provide strong support for the transparency and traceability of cases. The specific contents are as follows:

[0070] a. Smart contract trigger unit, responsible for smart contract design and deployment, case status monitoring, automatic trigger process update, exception handling and alarm, as follows:

[0071] Smart contract design and deployment: Based on the business needs of legal services, we design and deploy a series of smart contracts that define key nodes and state transition conditions in the case process, such as case filing, mediation, trial, and judgment;

[0072] Case status monitoring: The smart contract trigger unit continuously monitors the case status changes by reading the case information on the blockchain to ensure that any status update signals are captured in real time;

[0073] Automatically trigger process updates: When the case status meets the conditions preset in the smart contract, the corresponding process update operation is automatically triggered. For example, when the case mediation is successful and an agreement is reached, the smart contract triggers the status update to "mediation closed" and automatically notifies the relevant parties;

[0074] Exception handling and alarm: During the process execution, if an abnormal situation occurs (such as failure of smart contract execution, inconsistent data, etc.), the exception will be handled and the administrator or relevant personnel will be notified through the alarm mechanism for processing;

[0075] b. Data synchronization unit, responsible for API interface design and development, real-time synchronization of case information, data consistency and verification, and log recording and monitoring, as follows:

[0076] API interface design and development: Responsible for designing and developing API interfaces to facilitate data transmission and sharing with other systems (such as court systems, mediation systems, law firm systems, etc.). These API interfaces need to follow specific protocols and standards to ensure data security and interoperability;

[0077] Real-time synchronization of case information: Case information is synchronized to the court and other authorized nodes in real time through the API interface, including basic case information, progress status, related documents, etc. The synchronization operation is usually bidirectional, that is, the system can receive data updates from other nodes and push its own data changes to other nodes;

[0078] Data consistency and verification: During the data synchronization process, data consistency and verification operations are performed to ensure that the synchronized data is accurate, including comparing data hash values, verifying data signatures, and checking data integrity.

[0079] Logging and monitoring: Record detailed log information and monitor the performance and status of synchronization operations. This log information is important for troubleshooting, optimizing performance, and auditing compliance, so as to track the process and results of data synchronization.

[0080] (4) The data security module includes an encryption storage unit, a differential privacy processing unit, and an access control unit. Through the synergy of these three units, the security and privacy of case data can be ensured, and the integrity, confidentiality, and availability of data can be guaranteed, thus achieving comprehensive protection of case data for the smooth implementation of legal services. The specific contents are as follows:

[0081] a. Encrypted storage unit, responsible for sensitive information identification, AES-256 algorithm application, key management, and encrypted data storage, as follows:

[0082] Sensitive information identification: Automatically identify sensitive information in case data, including personal identity information, case details, evidence materials, etc.

[0083] AES-256 algorithm application: The advanced AES-256 symmetric encryption algorithm is used to encrypt the identified sensitive information. The AES-256 algorithm, with its high-strength encryption performance and wide recognition, can effectively resist various attack methods and ensure the security of data during transmission and storage;

[0084] Key management: responsible for the generation, distribution, storage and update of keys. Key management is the core of encryption technology. The security and availability of keys must be ensured. A key management system (KMS) is used to implement centralized key management and auditing.

[0085] Encrypted data storage: Encrypted data is stored in secure data storage systems, such as distributed file systems, databases, etc. These storage systems support the storage and retrieval of encrypted data to ensure data integrity and availability;

[0086] b. Differential privacy processing unit, responsible for data noise addition, privacy budget allocation and data analysis support, as follows:

[0087] Data noise addition: The differential privacy processing unit protects sensitive information from being reversed by adding noise to the original data. The addition of noise follows a certain probability distribution and parameter settings to ensure that the impact on data analysis results is minimized while protecting privacy.

[0088] Privacy budget allocation: The differential privacy processing unit allocates privacy budgets reasonably according to the sensitivity of the data and the analysis requirements to ensure that the accuracy requirements of data analysis are met while protecting privacy;

[0089] Data analysis support: After adding noise, the differential privacy processing unit also supports analytical operations on encrypted data, such as query and statistics. These operations need to be performed under the premise of protecting privacy to ensure the accuracy and reliability of the analysis results.

[0090] c. Access control unit, responsible for access behavior recording, role authority management, access auditing and alarming, as follows:

[0091] Access behavior records: The access control unit records all access behaviors to data, including access time, access users, access content, etc. These records are the basis for transparent tracking and help discover potential abnormal access behaviors;

[0092] Role-based permission management: By configuring the role-based permission management system, the access control unit can ensure that data is only accessed by authorized parties, including defining different user roles, assigning corresponding permissions, and formulating access policies. Permission management follows the principle of least privilege, that is, each user can only obtain the minimum permissions required to complete the task;

[0093] Access audit and alarm: The access control unit audits and monitors access behavior and promptly issues an alarm when abnormal access behavior is found. This helps to promptly detect and handle potential security threats and ensure the security and integrity of data.

[0094] (5) The multi-node collaboration module includes a data sharing unit and an access rights management unit. Through the collaboration of the data sharing unit and the access rights management unit, real-time sharing and compliant access of case information are achieved, which helps to improve the efficiency and transparency of case handling and provides a more secure and convenient data interaction environment for all parties involved. The specific contents are as follows:

[0095] a. Data sharing unit, responsible for blockchain alliance chain technology implementation, case progress synchronization, information encryption and decryption, and data access log recording, as follows:

[0096] Blockchain alliance chain technology implementation: The data sharing unit uses blockchain alliance chain technology to build a secure and decentralized data sharing platform. Each node in the alliance chain (such as courts, mediation centers, law firms, etc.) has access to the data, but the modification and update of the data needs to be verified by the consensus mechanism to ensure the authenticity and immutability of the data;

[0097] Case progress synchronization: This unit is responsible for real-time synchronization of case progress information, including key nodes such as case filing, mediation, trial, and judgment. Through smart contracts or API interfaces, the data sharing unit can automatically capture changes in these nodes and broadcast the updated information to all nodes on the alliance chain;

[0098] Information encryption and decryption: To ensure data security, data will be encrypted during transmission. Only nodes with the corresponding keys can decrypt and access the data, which ensures that sensitive information will not be obtained by unauthorized third parties.

[0099] Data access log recording: The data sharing unit records the data access behavior of all nodes, including access time, access node, access content, etc., which helps to track the flow and usage of data and provide strong support for data security and compliance audits;

[0100] b. Access rights management unit, responsible for the configuration of the role rights management system, dynamic adjustment of rights, rights review and monitoring, and revocation and restoration of rights, as follows:

[0101] Configuration of role permission management system: The access permission management unit allocates corresponding data access permissions according to the needs of different roles such as courts, mediators, and parties, ensuring that each role can only access data within the scope of its responsibilities to avoid data leakage and abuse;

[0102] Dynamic adjustment of permissions: As the case progresses and roles change, the access rights management unit can dynamically adjust data access permissions. For example, when a case enters the mediation stage, the mediator will be granted more data access permissions to better understand the case; and after the case is decided, the parties' access permissions may be restricted to protect the privacy of sensitive information.

[0103] Permission review and monitoring: To ensure the compliance and security of permission allocation, the access rights management unit will review and monitor the permission allocation process, including checking the rationality of permission allocation, monitoring permission usage, and promptly discovering and handling abnormal access behaviors;

[0104] Revocation and restoration of permissions: In certain circumstances, such as staff resignation, role change or data leakage, the access permission management unit can quickly revoke data access permissions of related nodes. At the same time, for permission loss caused by misoperation or system failure, the unit can also promptly restore the corresponding access permissions.

[0105] The present invention provides a legal service platform based on blockchain and artificial intelligence, and its working principle is as follows:

[0106] S1. The case information storage module receives and preprocesses case information from other modules of the system or external input, then encrypts the preprocessed information and encapsulates it into a specific data structure (such as a transaction), and submits the encapsulated data structure to the blockchain network. After verification by the consensus algorithm, it is written into the blockchain to ensure the authenticity and immutability of the data;

[0107] Regularly synchronize data with other nodes to ensure data consistency. At the same time, when case information is updated, the updated information is written to the blockchain, and a hash value associated with the case information is generated and stored for subsequent data verification and tracking;

[0108] S2, the AI ​​intelligent mediation module receives the case content from the case information storage module, pre-processes and performs semantic analysis on the case content, extracts key information and key points, and then matches similar cases in the case database to provide valuable reference cases and solutions for mediators;

[0109] Generate intelligent mediation suggestions based on the matching results of similar cases and the actual situation of the current case. During the mediation process, collect voice and video data of both parties in real time, perform emotion recognition and analysis, and help mediators better grasp the mediation rhythm and strategy. Then, legal documents are automatically generated according to the mediation results, and they are reviewed and modified.

[0110] S3. The case process management module designs and deploys smart contracts, defines key nodes and state transition conditions in the case process, and continuously monitors case status changes. When the status meets the conditions preset in the smart contract, the corresponding process update operation is automatically triggered;

[0111] Handle exceptions during process execution and notify administrators or relevant personnel through an alarm mechanism. Data is transferred and shared with other systems through an API interface to synchronize case information in real time.

[0112] S4, the data security module automatically identifies sensitive information in case data, encrypts the sensitive information, manages the key, adds noise to the original data through the differential privacy processing unit to protect sensitive information from reverse deduction, and then records all access behaviors to the data, and performs role authority management, access auditing and alarming;

[0113] S5. The multi-node collaboration module uses blockchain alliance chain technology to build a secure and decentralized data sharing platform, synchronizes case progress information to all nodes on the alliance chain in real time, encrypts data during transmission to ensure data security, records data access behavior of all nodes, and performs role authority management and authority review and monitoring.

[0114] In summary, this legal service platform based on blockchain and artificial intelligence realizes functions such as real storage of case information, intelligent mediation, full-process automated management, data security and privacy protection, and real-time collaboration among multiple parties through the collaborative work of various component modules and their units, providing strong support for the modernization and intelligence of legal services.

[0115] The technical features of the above embodiments may be arbitrarily combined (as long as there is no contradiction in the combination of these technical features). To make the description concise, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not explicitly written should also be considered to be within the scope of this specification.

Claims

1. A legal service platform based on blockchain and artificial intelligence, characterized in that: include: The case information storage module is responsible for receiving case information, preprocessing, encrypting and encapsulating the received case information, and writing it into the blockchain, while generating a hash value for data verification and tracking; The AI ​​intelligent mediation module is responsible for receiving case content from the case information storage module, preprocessing and semantically analyzing the case content, matching similar cases and generating mediation suggestions; The case process management module is responsible for receiving case information and mediation suggestions from the case information storage module and the AI ​​intelligent mediation module, monitoring the case status in real time and automatically triggering process updates, while ensuring that case information is synchronized to the court and other authorized nodes in real time; The data security module is responsible for receiving sensitive case information from the case information storage module, AI intelligent mediation module, and case process management module, and encrypting and storing sensitive information, performing differential privacy processing, and performing access control to ensure the security, privacy, and integrity of data during transmission and storage; The multi-node collaboration module is responsible for receiving encrypted case information from the data security module, and providing real-time updated case information to the case information storage module, AI intelligent mediation module, and case process management module. It shares data based on blockchain alliance chain technology and synchronizes case progress information.

2. According to claim 1, a legal service platform based on blockchain and artificial intelligence is characterized in that: The case information received by the case information storage module comes from other modules of this platform or external case information, and provides case information to the AI ​​intelligent mediation module and the case process management module, while supporting data sharing through a multi-node collaboration module.

3. According to claim 1, a legal service platform based on blockchain and artificial intelligence is characterized in that: The case content received by the AI ​​intelligent mediation module includes case description, evidence materials, and statements from both parties. The AI ​​intelligent mediation module also provides the case process management module with mediation results and generated document information.

4. According to claim 1, a legal service platform based on blockchain and artificial intelligence is characterized in that: The case process management module provides the case information that needs to be encrypted and protected to the data security module, and shares and synchronizes data with other systems or nodes through the multi-node collaboration module.

5. According to claim 1, a legal service platform based on blockchain and artificial intelligence is characterized in that: The case information storage module includes: The blockchain storage unit is responsible for information reception and preprocessing, information encryption and packaging, writing to the blockchain, and data synchronization and updating; The hash value generation unit is responsible for information extraction, hash value calculation, hash value storage and association, and data verification and tracking.

6. A legal service platform based on blockchain and artificial intelligence according to claim 1, characterized in that: The AI ​​intelligent mediation module includes: The mediation suggestion generation unit is responsible for case content reception and preprocessing, semantic analysis, similar case matching, and mediation suggestion generation; Emotion recognition unit, responsible for voice and video data collection, feature extraction, emotion recognition, and emotion analysis and application; The document automatic generation unit is responsible for template selection and configuration, content filling and generation, review and modification, as well as document output and archiving.

7. The legal service platform based on blockchain and artificial intelligence according to claim 1, characterized in that: The case process management module includes: Smart contract triggering unit, responsible for smart contract design and deployment, case status monitoring, automatic triggering process updates, exception handling and alarms; The data synchronization unit is responsible for API interface design and development, real-time synchronization of case information, data consistency and verification, and log recording and monitoring.

8. The legal service platform based on blockchain and artificial intelligence according to claim 1, characterized in that: The data security module comprises: The encryption storage unit is responsible for sensitive information identification, AES-256 algorithm application, key management, and encrypted data storage; The differential privacy processing unit is responsible for data noise addition, privacy budget allocation, and data analysis support; The access control unit is responsible for access behavior recording, role permission management, access auditing and alarming.

9. The legal service platform based on blockchain and artificial intelligence according to claim 1, characterized in that: The multi-node collaboration module includes: The data sharing unit is responsible for the implementation of blockchain consortium chain technology, case progress synchronization, information encryption and decryption, and data access log recording; The access permission management unit is responsible for the role permission management system configuration, dynamic permission adjustment, permission review and monitoring, and permission revocation and restoration.

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