Artificial intelligence auxiliary system based on digital law

Abstract

The invention mainly aims to develop and implement a high-efficiency and intelligent law artificial intelligence auxiliary system, and the system has excellent capability of processing various legal documents by artificial intelligence. According to the system, core information can be accurately extracted from a file by using a leading-edge technical means, and the information is deeply analyzed. In addition, the system can perform all-around analysis and prediction on various legal problems and provide accurate legal suggestions for the user. In addition, the system is also devoted to provide comprehensive and detailed legal suggestions for the user, and helps the user to make a judicious choice when the user faces a legal problem. And the system provides a customized solution according to the actual demand of the user, so that the legitimate rights and interests of the user are guaranteed to the greatest extent. In general, the legal artificial intelligence auxiliary system provided by the invention not only can improve the efficiency of legal work, but also can assist the user to obtain success in legal affairs.

Description

Technical Field

[0001] The present invention mainly covers the two frontier fields of legal technology and artificial intelligence, and its core content is an innovative legal artificial intelligence auxiliary system. The design and implementation of the system are based on advanced deep learning technology and natural language processing methods. Through in-depth learning and understanding of a large number of legal documents, the system can understand and parse complex legal language and provide accurate auxiliary services for legal workers. In this legal artificial intelligence auxiliary system, deep learning algorithms play a vital role. By building an efficient neural network model, the system can autonomously learn and extract knowledge from massive legal documents, case judgments and regulations. These learning processes not only cover the basic vocabulary and grammatical structure of legal texts, but also have a deeper understanding of legal concepts, logical relationships and legal reasoning.

[0002] The application of natural language processing technology enables the system to interact naturally and smoothly with human users. The system can recognize and parse the user's natural language input, and can provide timely and accurate feedback and suggestions whether it is consulting on legal issues, parsing legal texts, or drafting and reviewing legal documents.

[0003] In addition to basic legal text understanding and parsing capabilities, the system also has some advanced functions. For example, it can perform legal reasoning and prediction based on historical cases and regulations to provide decision support for legal workers. In addition, the system can automatically update and optimize its own knowledge system to adapt to the ever-changing legal environment and user needs.

[0004] In general, this legal AI-assisted system based on deep learning and natural language processing technology has not only greatly improved the efficiency and quality of legal work, but also brought revolutionary changes to the development of the legal field. Through intelligent auxiliary services, legal workers can focus more on the analysis and resolution of legal issues, thereby providing society with better and more efficient legal services. Of course, the advantages of this legal AI-assisted system are far more than that.

[0005] In practical applications, the system can assist lawyers, judges and other legal workers in conducting efficient legal research. Traditional legal research often requires a lot of time and manpower to consult a large number of legal documents and cases. Now, with this system, only simple natural language input is needed to quickly retrieve relevant legal provisions, case judgments and expert interpretations, greatly improving the efficiency and accuracy of research.

[0006] In addition, the system also has high application value in case analysis and risk assessment. The system can automatically extract and classify key information of the case, and perform intelligent reasoning based on historical cases and regulations to predict the possible outcomes and potential risks of the case. This can not only provide decision-making support for lawyers, but also help them defend clients more confidently and professionally in court.

[0007] At the same time, the system also has the function of drafting and reviewing legal documents. Through natural language processing technology, the system can automatically generate draft legal documents that meet legal norms and format requirements, and automatically check the grammar, spelling, format and other errors of the documents. This can not only reduce the workload of lawyers, but also improve the quality and efficiency of documents.

[0008] In addition, it is worth mentioning that this legal artificial intelligence assistance system also has the ability to continuously learn and self-optimize. As the legal environment changes and new legal provisions are introduced, the system can automatically update its knowledge base and algorithm model to keep up with the latest legal knowledge and apply it. This enables the system to always keep pace with the legal environment and provide legal workers with more accurate and timely assistance services.

[0009] In summary, this legal artificial intelligence assistance system based on deep learning and natural language processing technology not only improves the efficiency and quality of legal work, but also promotes the legal field to develop in a more intelligent and professional direction. In the future, with the continuous advancement of technology and the continuous expansion of application scenarios, we have reason to believe that this system will play a more important role in the legal field. Background Art

[0010] In today's society, the number of legal documents is increasing and the content is becoming more and more complex, which makes traditional legal research methods seem inadequate and difficult to meet people's needs for fast and accurate acquisition of legal information and judgment of legal issues. On the other hand, legal professionals often feel time-sensitive and heavy tasks when dealing with these huge and complex legal documents. In order to deal with these problems, it is particularly important to develop a legal artificial intelligence auxiliary system that can automatically process legal documents, provide legal advice and assist in decision-making. Such a system can not only improve the efficiency of legal work, but also improve the accuracy of work, which has a far-reaching impact on the development of the legal industry. Specifically, such a legal artificial intelligence auxiliary system can undertake many tedious and time-consuming tasks, thereby freeing up the energy of legal professionals and allowing them to focus more on core legal analysis and decision-making. First of all, the system can automatically parse and classify legal documents through natural language processing technology, and organize massive amounts of information into an orderly and easy-to-query format. This can not only greatly save the time of finding and organizing materials, but also ensure the accuracy and completeness of information.

[0011] Secondly, the system can use deep learning and machine learning algorithms to conduct in-depth analysis of legal provisions, cases and judgments, and extract key legal elements and logical structures. Through continuous learning and accumulation, the system can gradually acquire the ability to make preliminary judgments on legal issues and provide valuable reference suggestions for legal professionals.

[0012] Furthermore, the system can also interact with legal professionals in real time, helping them understand legal issues and provide decision-making support through natural language communication. For example, in the legal consultation phase, the system can quickly generate responses based on a large number of cases and legal provisions for reference by legal professionals; in the case analysis phase, the system can assist legal professionals in sorting out the case context, identifying legal risks, and proposing corresponding solutions.

[0013] Finally, such a legal AI-assisted system can also achieve seamless integration with other legal tools and systems to form a complete legal work ecosystem. By integrating various legal resources and services, the system can provide legal professionals with a one-stop solution to help them complete their legal work more efficiently and accurately.

[0014] In summary, developing a legal AI-assisted system that can automatically process legal documents, provide legal advice, and assist in decision-making is of great significance to improving the efficiency and accuracy of legal work. Such a system can not only free the hands of legal professionals, allowing them to focus more on core legal analysis and decision-making, but also inject new vitality and impetus into the development of the legal industry. As the legal AI-assisted system continues to develop and improve, it will play a more extensive and in-depth role in the legal field. The following is a further discussion of its future development trends and potential impacts: First, the legal AI assistance system will further improve the level of personalization of legal services. Through deep learning and analysis of user behavior, the system can more accurately understand the needs and preferences of users, thereby providing customized legal services and advice. This can not only improve the user experience, but also enhance the user's trust and satisfaction with legal services.

[0015] Secondly, the legal AI-assisted system will promote the sharing and inheritance of legal knowledge. The traditional way of transmitting legal knowledge is often limited by time and space, while the legal AI-assisted system can transform legal knowledge into digital, shareable resources through cloud computing and big data technology. This enables legal professionals to more easily access and utilize this knowledge, while also providing a new way to pass on legal knowledge.

[0016] In addition, the legal AI-assisted system will also promote innovation and change in the legal industry. Through the application of automation and intelligent technology, the system can optimize legal workflows, reduce human errors, and improve decision-making quality. This will bring new development opportunities and competitive advantages to the legal industry, and will also promote the legal industry to develop in a more intelligent and efficient direction.

[0017] Finally, the legal AI-assisted system will also have a profound impact on legal education and training. Traditional legal education and training often focus on imparting theoretical knowledge, but lack the cultivation of practical experience and skills. The legal AI-assisted system can provide a large number of practical opportunities and case analysis for law students and practitioners, helping them better master legal knowledge and skills and improve their ability to solve practical problems.

[0018] In short, as an emerging legal technology tool, the legal artificial intelligence assistance system will play an increasingly important role in the legal field. With the continuous advancement of technology and the continuous expansion of application scenarios, we have reason to believe that the legal artificial intelligence assistance system will inject new vitality and impetus into the future development of the legal industry. Summary of the invention

[0019] The main purpose of this invention is to develop and implement an efficient and intelligent legal artificial intelligence assistance system that has excellent artificial intelligence capabilities for processing various legal documents. By using cutting-edge technical means, the system can accurately extract core information from documents and conduct in-depth analysis of this information. In addition, the system can also conduct a full range of analysis and prediction of various legal issues and provide users with accurate legal opinions.

[0020] In addition, the system is also committed to providing users with comprehensive and detailed legal advice to help users make wise choices when facing legal issues. The system will provide customized solutions based on the actual needs of users, thereby protecting the legitimate rights and interests of users to the greatest extent.

[0021] In general, the legal artificial intelligence assistance system provided by the present invention can not only improve the efficiency of legal work, but also provide users with high-quality legal services and help users succeed in legal affairs. The system will use advanced technical means to accurately process legal documents, deeply analyze legal issues, and provide users with accurate and comprehensive legal insights and suggestions, so that they can make wise decisions when facing legal issues, thereby better protecting their legitimate rights and interests.

[0022] The specific implementation method is as follows: Legal document processing module: Use natural language processing technology to perform word segmentation, part-of-speech tagging, syntactic analysis, semantic role labeling and other processing on legal documents to extract key information in the document, such as case facts, legal clauses, litigation requests, etc.

[0023] Legal knowledge base module: Build a knowledge base containing a large number of legal provisions, cases, judicial interpretations and other legal knowledge to provide legal knowledge and reasoning basis for the system.

[0024] Legal Issue Analysis and Prediction Module: Use deep learning algorithms to analyze and predict key information in legal documents to determine the legal nature of the case, possible applicable legal provisions, and possible judgment results.

[0025] Legal advice and decision-making support module: Provide users with legal advice and decision-making support based on analysis and prediction results. For example, recommend appropriate litigation strategies or settlement plans to users based on case facts and possible judgment results.

[0026] The advantages of the present invention are: The decision-making assistance module in the system function is designed to use advanced artificial intelligence technology to provide comprehensive and efficient assistance support for legal practitioners. The following are some of the core functions and features of the decision-making assistance module: Intelligent analysis of case information: The module can automatically extract key information in the case, such as case facts, evidence, legal provisions, etc.

[0027] Through natural language processing technology, the module can deeply understand the case content and convert it into a data structure that can be processed by computers.

[0028] Intelligently recommend legal provisions and precedents: Based on case information, the module can intelligently recommend relevant legal provisions and precedents to provide decision-making references for legal practitioners.

[0029] This not only improves the work efficiency of legal practitioners, but also helps ensure the accuracy and consistency of legal application.

[0030] Intelligent reasoning and prediction: The module uses knowledge graphs and reasoning engines, combined with case information and legal knowledge bases, to perform intelligent reasoning and prediction.

[0031] This helps legal practitioners to more accurately grasp the direction of cases and develop more reasonable litigation strategies.

[0032] Automatically generate legal documents: The module can automatically generate draft legal documents, such as indictments and judgments, based on case information and legal requirements.

[0033] This not only improves the efficiency of document production, but also helps ensure the standardization and accuracy of the documents.

[0034] Intelligent error correction and review: The module can intelligently correct and review completed legal documents to ensure that the documents are logically rigorous and accurately expressed.

[0035] This helps reduce human errors and improves the quality of legal documents.

[0036] Data Visualization and Report Generation: The module can visualize case information and analysis results in the form of charts, reports, etc.

[0037] This helps legal practitioners understand the case more intuitively and provide more comprehensive support for decision-making.

[0038] Security and Privacy Protection: The auxiliary decision module strictly abides by relevant laws and regulations on data security and privacy protection.

[0039] When processing case information, the module uses encryption technology and access control strategies to ensure data security and privacy.

[0040] Through the above functions, the decision support module provides a comprehensive and efficient auxiliary tool for legal practitioners, which helps to improve work efficiency and the accuracy of case handling. At the same time, the module can also work in coordination with other functional modules to provide users with more comprehensive work support. Of course, the following is a more in-depth description and expansion of the decision support module: Continuous learning and self-optimization: The auxiliary judgment module has strong learning capabilities and can continuously learn from new cases and legal provisions and optimize its own reasoning model.

[0041] Over time, the module will predict case outcomes more and more accurately, providing more precise assistance.

[0042] Multi-field adaptability: This module is not only applicable to traditional legal fields such as civil and criminal law, but can also be expanded to multiple professional fields such as intellectual property, commercial law, and international law.

[0043] By customizing specialized legal knowledge bases and reasoning rules for different fields, the wide applicability and professionalism of the auxiliary decision module are ensured.

[0044] User feedback and interaction: We value user feedback and encourage legal practitioners to provide opinions and suggestions during use.

[0045] The module will collect and analyze these feedbacks, and continuously optimize and improve functions to meet the actual needs of users.

[0046] Legal research support: In addition to providing direct decision-making assistance functions for legal practitioners, the decision-making assistance module can also serve as a powerful assistant for legal research.

[0047] By analyzing a large number of cases and legal provisions, the module is able to reveal legal trends and patterns, providing valuable research materials for legal scholars and researchers.

[0048] Teamwork and Sharing: The decision support module supports team collaboration and resource sharing. Legal practitioners can share case information and analysis results within the team to improve the overall work efficiency of the team.

[0049] At the same time, the module also provides version control and permission management functions to ensure the security and consistency of data.

[0050] Customizability: The decision support module allows users to customize it according to their needs. Users can choose to turn certain features on or off and adjust parameter settings to suit different workflows and preferences.

[0051] Cross-language support: In order to meet the needs of global users, the decision support module supports multiple languages. Users can choose to use the language they are familiar with for case analysis and legal research.

[0052] Integration and scalability: The auxiliary judgment module of legal artificial intelligence has good integration and scalability. It can be seamlessly integrated with existing legal management systems, databases and other AI tools to achieve data sharing and functional complementarity.

[0053] In addition to system expansion functions and coordination, the module also provides an API interface and development toolkit, allowing third-party developers to expand and customize as needed.

[0054] Through the continuous expansion and optimization of the above functions and features, the auxiliary decision module will become an indispensable working partner for legal practitioners, bringing more efficient and accurate decision-making support to the legal industry.

[0055] High degree of automation: Ability to automatically process legal documents, extract key information, and reduce the time and cost of manual operations.

[0056] High accuracy: Based on deep learning and natural language processing technology, it can accurately analyze and predict legal issues and improve the accuracy of legal work.

[0057] Strong adaptability: Through continuous learning and optimization, it can adapt to different fields and types of legal documents, improving the versatility and scalability of the system. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1: Neural network diagram; Figure 2: Algorithm model diagram; Figure 3: Algorithm structure diagram; Figure 4: Court side interface; Figure 5: Analysis results interface; Figure 6: Lawyer interface; Figure 7: User end; Figure 8: Evidence upload interface; Figure 9: Schematic diagram of the process; DETAILED DESCRIPTION

[0058] The specific implementation methods of the present invention are as follows: 1. Build a legal knowledge base: collect and organize a large amount of legal knowledge such as legal provisions, cases, judicial interpretations, etc., and build a knowledge base containing rich legal knowledge.

[0059] 2. Train deep learning models: Use data and annotated data in the legal knowledge base to train deep learning models so that they can automatically process legal documents, extract key information, and analyze and predict legal issues.

[0060] 3. Develop a system interface: Develop an easy-to-use system interface to facilitate users to upload legal documents, view analysis results and obtain legal advice.

[0061] 4. Optimize system performance: Through continuous learning and optimization, improve the accuracy and adaptability of the system so that it can better meet user needs.

[0062] The legal artificial intelligence assistance system of the present invention aims to realize the automatic processing of legal documents, key information extraction, legal issue analysis and prediction, as well as legal advice and decision-making assistance functions by combining natural language processing (NLP), deep learning (DL) and legal knowledge base technology.

[0063] Legal document processing module: This module is responsible for receiving legal documents uploaded by users and preprocessing them using NLP technology. The preprocessing steps include document cleaning (removing irrelevant content), word segmentation, part-of-speech tagging, syntactic analysis, and semantic role tagging. Through these steps, the system can identify key legal entities and events in the document, laying the foundation for subsequent analysis and prediction.

[0064] Legal knowledge base module: The legal knowledge base is one of the cores of this system. It contains a large amount of legal knowledge such as legal provisions, cases, judicial interpretations, etc. This module is responsible for managing and maintaining this knowledge base and providing knowledge retrieval and reasoning services. Through knowledge retrieval, the system can quickly locate legal provisions and cases related to current legal issues; through reasoning services, the system can conduct in-depth analysis and prediction of legal issues based on existing knowledge.

[0065] Legal Issue Analysis and Prediction Module: This module uses deep learning technology to conduct in-depth analysis and prediction of pre-processed legal documents. Through the trained deep learning model, the system can automatically extract key information from the document, such as case facts, legal clauses, litigation requests, etc., and conduct in-depth analysis and prediction of legal issues based on the data and algorithms in these knowledge bases. These prediction results include but are not limited to the legal nature of the case, possible applicable legal clauses, possible judgment results, etc.

[0066] Legal advice and decision-making support module: Based on the results of analysis and prediction, this module is responsible for providing users with legal advice and decision-making assistance. According to the actual needs of users, the system can generate detailed legal reports, explain the basis of analysis results and prediction results, and give corresponding legal advice and strategies. These suggestions can cover litigation strategies, settlement plans, legal risk assessments and other aspects to help users better deal with legal issues.

[0067] The following is a specific implementation of the legal artificial intelligence assistance system of the present invention: 1. Build a legal knowledge base: Collect and organize a large amount of legal knowledge such as legal provisions, cases, judicial interpretations, etc., and build a structured legal knowledge base through database technology. The knowledge base should support efficient data retrieval and reasoning services.

[0068] 2. Training deep learning models: Using the data and annotated data in the legal knowledge base, deep learning models are trained. These models can include text classification models, named entity recognition models, relationship extraction models, etc., which are used to process different types of legal documents and issues.

[0069] 3. Develop a system interface: Develop a user-friendly system interface that allows users to upload legal documents, enter query requests, view analysis results, and obtain legal advice. The interface should be concise and easy to operate.

[0070] 4. Integration and testing: Integrate each module into a complete system and conduct comprehensive testing. The testing should include functional testing, performance testing, security testing and other aspects to ensure the stability and reliability of the system.

[0071] 5. Optimization and iteration: Based on user feedback and actual application, continuously optimize and iterate the system. This can include improving algorithms, adding new features, optimizing interfaces, and other aspects to improve the accuracy of the system and user satisfaction.

Claims

1. Legal artificial intelligence assistance system, characterized by: It includes legal document processing module, legal knowledge base module, legal issue analysis and prediction module and legal advice and decision support module.

2. According to the legal artificial intelligence assistance system according to claim 1, the legal document processing module uses natural language processing technology to perform word segmentation, part-of-speech tagging, syntactic analysis, semantic role labeling and other processing on legal documents to extract key information from the documents.

3. According to the algorithms, intelligent modules, large models, and legal knowledge professional libraries defined by the legal artificial intelligence assisted system, the legal artificial intelligence assisted system according to claim 1 or 2, wherein the legal knowledge base module contains legal knowledge such as legal provisions, cases, judicial interpretations, and provides knowledge retrieval and reasoning services.

4. A legal artificial intelligence-assisted system according to any of the preceding claims, wherein the legal issue analysis and prediction module uses deep learning technology to perform in-depth analysis and prediction on pre-processed legal documents to generate prediction results such as the legal nature of the case, possible applicable legal provisions, and possible judgment results.

5. A legal artificial intelligence assistance system according to any of the preceding claims, wherein the legal advice and decision support module provides users with legal advice and decision support based on the results of analysis and prediction, including suggestions on litigation strategies, settlement plans, legal risk assessments, etc.

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