With the rapid development of artificial intelligence technology, its application in social governance is becoming increasingly widespread. The government legal counsel work mechanism, as an important component of the construction of a government under the rule of law, faces many challenges and also ushers in new opportunities. The introduction of artificial intelligence technology provides the possibility to optimize the working mode of government legal counsel. 。 2025 On February 6, the Party Committee and Government of the Autonomous Region convened a conference in Nanning to promote high-quality economic development by adhering to "Emancipating the Mind, Innovating and Seeking Change, Aiming for the Sea and Strengthening, Opening up and Developing" ， Chen Gang, Secretary of the Party Committee of the Autonomous Region and Director of the Standing Committee of the People's Congress of the Autonomous Region, attended the meeting and delivered a speech. ， Secretary Chen Gang emphasized that "Guangxi cannot be absent or lag behind in the era of artificial intelligence. It is necessary to empower thousands of industries with 'Artificial Intelligence+' and strive to catch up in new fields and new tracks..." It can be seen that the Autonomous Region attaches great importance to and expects the empowerment of "Artificial Intelligence+". Exploring how "Artificial Intelligence+" can empower the work of government legal counsel and how to achieve effective integration between the two is an urgent problem to be solved.

One Basic Information on Artificial Intelligence and the Government Legal Counsel Work Mechanism

(I) Development Status of Artificial Intelligence Technology 。

2013-2015 was the starting stage of the development of artificial intelligence (referred to as AI ） development stage ， The state began to pay attention to AI technology, and the policy was somewhat inclined. " The 12th Five-Year Plan ” The plan mentioned strategic emerging industries. Internet giants such as Baidu, Alibaba, and Tencent began to lay out AI and set up related laboratories , deep learning technology gradually matured, and preliminary progress was made in speech recognition and computer vision. The academic community also began to strengthen AI research, and universities and research institutions established related laboratories.

2016-2018, the country increased policy support, and the "New Generation Artificial Intelligence Development Plan" was released, clarifying development goals and technology roadmaps. ， Artificial Intelligence Rapid With rapid development, AI technology has been applied in many fields, such as autonomous driving, medical image analysis, and intelligent customer service. Academic research has entered an active period, and the number of papers has increased significantly. Data infrastructure has been gradually improved, and cloud computing and big data technologies have developed rapidly. At the same time, ethical and legal issues have begun to receive attention, and the academic and industrial circles have begun to discuss the challenges brought by AI.

2019— 2021, this stage is a critical period for deepening application and commercialization. The state issued the "Implementation Opinions on Promoting the Deep Integration of Artificial Intelligence and the Real Economy" to promote the integration of AI and the real economy. In terms of technology, new technologies such as 5G and edge computing are combined with AI to promote the expansion of application scenarios. Industry applications are more extensive, and significant results have been achieved in areas such as smart cities and intelligent manufacturing. Academic research has entered a stage of high-quality development, and the number of top journal papers has increased. Data infrastructure has been further improved, and the construction of computing power centers and data centers has accelerated. Ethical and legal frameworks have been gradually improved, and relevant laws and regulations have begun to be formulated and implemented.

2022-Present ， Artificial intelligence has entered a new stage of high-quality development and global competition 。 The state released the ", promoting the deep integration of AI and the digital economy. In terms of technology, breakthroughs have been made in large model technologies, such as DeepSeek Wenxin Yiyan, Tongyi Qianwen, etc. Etc. . Industry applications are developing to a deeper level, and the application of AI in finance, education, agriculture and other fields is constantly expanding. Academic research continues to maintain a high level, and international cooperation is also closer. The construction of data infrastructure has entered a new stage, and the construction of computing power networks and the East-Data-West-Computing project is being promoted. The ethical and legal framework has been further improved, and data security and personal information protection have become the focus. At the same time, AI is also constantly expanding in the field of legal services, mainly in the following aspects:

  1. Machine Learning: Machine learning enables computers to learn patterns and rules from data through algorithms. In the legal field, machine learning can be used for case analysis and prediction, helping legal counsel quickly identify potential risks and solutions to legal issues.

2. Natural Language Processing: NLP technology enables computers to understand and generate human language. Legal intelligence systems use NLP to understand user questions and extract relevant information from legal knowledge bases to provide accurate legal advice.

3. Big Data Analysis: The legal field has accumulated a large amount of data such as cases, regulations, and legal documents. Through big data analysis, AI systems can mine the rules and trends in these data to provide decision support for legal counsel.

(II) Basic Overview of the Government Legal Counsel Work Mechanism 。

In the past decade, China's government legal counsel work mechanism has gone through a process from initial establishment to gradual improvement. Policies and regulations have been improved, organizational structures have been optimized, service models have been innovated, and technology applications have been continuously deepened. In 2015, the CPC Central Committee and the State Council issued the "Implementation Outline for the Construction of a Government under the Rule of Law (2015-2020)", which clearly proposed to "generally establish a government legal counsel system", marking the legal counsel system as an important part of the construction of a government under the rule of law. In 2016, the General Office of the CPC Central Committee and the General Office of the State Council jointly issued the "Opinions on Promoting the Legal Counsel System and the System of Public Legal Counselors and Company Lawyers", requiring people's governments at or above the county level and their departments to generally establish legal counsel offices or equip legal counsel. In 2021, the CPC Central Committee and the State Council issued ", further emphasizing the need to "improve the government legal counsel system" and proposing to "strengthen the construction of the legal counsel team".

Government legal counsel is an important guarantee for the government to administer according to law. Its responsibilities include providing legal opinions for government decision-making, reviewing contracts, and handling legal disputes. Government legal counsel needs to provide legality review for the government's policy formulation, administrative actions, and contract signing to ensure that government actions comply with laws and regulations. The current government legal counsel work mechanism presents the characteristics of specialization, standardization, and service. However, it still faces challenges in terms of talent reserve, AI technology application, and standardization construction.

(III) Current Situation of the Combination of Artificial Intelligence and Government Legal Counsel Work Mechanism 。

The application of artificial intelligence technology in the work of government legal counsel is gradually increasing, showing a significant empowering effect. Currently Some local governments use AI technology to develop intelligent legal consulting systems to provide the public with 24-hour online legal consulting services. These systems use natural language processing technology to understand user questions and provide professional legal answers. Or AI systems can quickly identify key terms and potential risk points in contracts and provide modification suggestions. AI technology reduces the time legal advisors spend on repetitive tasks, enabling them to handle complex legal issues more efficiently. Through intelligent platforms, legal advisors can provide more accurate and timely legal services, improving the overall quality of service. Meanwhile The integration of artificial intelligence and the working mechanism of government legal advisors Still Exists The following limitations:

1. Insufficient technical adaptability: Existing AI tools may not fully meet the specific needs of government legal advisors in some cases, such as when dealing with complex legal reasoning and special circumstances.

2. High requirements for legal professionalism: The legal field has a high degree of professionalism and complexity. AI systems need to continuously learn and optimize to better adapt to the requirements of legal services.

Two Relationship between artificial intelligence and the working mechanism of government legal advisors

(1) The empowering effect of artificial intelligence on the work of government legal advisors 。

1. Improve work efficiency. The application of artificial intelligence technology in the work of government legal advisors significantly improves work efficiency. In the traditional legal advisor work model, lawyers need to spend a lot of time on contract review, legal research, and document organization. These tasks are often repetitive and prone to errors due to fatigue or negligence. Artificial intelligence technology, especially natural language processing (NLP) and machine learning (ML) technologies, can quickly process and analyze large amounts of legal text, and automatically identify key terms, potential risk points, and legal compliance issues in contracts. For example, in terms of contract review, AI tools can quickly scan contract text through preset rules and algorithms to identify clauses that do not comply with legal regulations, ambiguous expressions, and content that may cause legal risks. These tools can complete the initial review in a short time and provide the results to legal advisors for further analysis and processing. Related research shows that AI tools can shorten contract review time by about 30% to 50%, while significantly reducing the error rate caused by human negligence. In terms of legal research, AI-driven legal research systems can quickly extract relevant information from massive legal documents, cases, and regulations based on user-entered keywords or questions. Compared with traditional search methods, AI systems can not only provide more accurate search results, but also understand the actual needs of users through semantic analysis, thereby providing more targeted legal advice.

2. Enhance decision support. AI technology provides more accurate decision support for government legal advisors through big data analysis. When providing legal opinions to the government, legal advisors need to comprehensively consider various factors, including relevant laws and regulations, past cases, policy orientations, etc. AI systems can analyze massive historical cases and legal data to uncover potential legal trends and risk points, providing legal advisors with more comprehensive and accurate reference information. For example, through machine learning algorithms, AI systems can analyze the judgment results, legal applications, and focus of disputes in historical cases to predict the possible results of similar cases. This predictive ability can help legal advisors better assess risks and develop more reasonable legal strategies when dealing with complex legal issues. In addition, AI systems can also track changes in laws and regulations in real time, and promptly remind legal advisors to update relevant legal knowledge to ensure the timeliness and accuracy of legal advice.

3. Optimize service quality. Traditional legal advisory services are often limited by time and space, making it difficult to achieve all-weather, all-round service coverage. The intelligent legal advisory platform based on artificial intelligence can break through these limitations and provide 24-hour uninterrupted legal consulting services. Through intelligent customer service, online legal Q&A and other functions, the AI system can initially answer users' general legal questions and provide users with timely legal support. This all-weather service model not only improves the accessibility of services, but also effectively alleviates the workload of legal advisors, enabling them to focus more on complex and critical legal issues. At the same time, the AI system can also continuously optimize service content and methods through user feedback and data analysis, further improving service quality.

(2) The role of government legal advisory work in giving back to artificial intelligence technology 。

1. Provide high-quality legal data resources. Government legal advisory work has accumulated a large amount of legal data, including contract texts, legal opinions, case analysis, policy documents, etc. This data is highly professional and authoritative, and is a valuable resource for the optimization and development of artificial intelligence technology. Through the combination with legal advisory work, AI systems can obtain more high-quality legal data for training and optimizing algorithms. For example, when dealing with specific cases, legal advisors will interpret and apply legal clauses according to the actual situation. The experience and judgment in these interpretation and application processes can be used as training samples for AI systems to help them better understand the applicable scenarios and conditions of legal rules. At the same time, case analysis and legal opinions accumulated by legal advisors in their work can also provide AI systems with a rich corpus for improving the accuracy and efficiency of natural language processing.

2. Provide professional guidance and norms for the application of AI technology in the legal field

The legal field has a high degree of complexity and professionalism, and the application of artificial intelligence technology in legal services requires professional guidance and norms. As legal professionals, government legal advisors can provide professional legal opinions and normative guidance for the application of AI technology. They can help AI developers design algorithms and models that are more in line with legal logic and practical requirements based on the actual needs of legal practice. For example, in the development process of AI systems, legal advisors can participate in the formulation of the system's legal knowledge base to ensure that the legal rules and clauses in it are accurate. At the same time, they can also review and verify the output results of the AI system to ensure that it meets legal requirements and practical standards. In addition, legal advisors can also participate in the formulation of application norms and standards for AI technology in legal services, providing legal guarantees for the healthy development of AI technology.

3. Promote the deep application of AI technology in complex legal scenarios. The legal issues involved in the work of government legal advisors are often complex and diverse. These complex scenarios provide opportunities for the deep application of artificial intelligence technology. Through the combination with legal advisory work, AI technology can continuously learn and optimize in the process of dealing with complex legal issues, and gradually improve its application capabilities in complex scenarios. For example, when dealing with complex contract disputes involving multiple legal fields, the AI system can learn how to comprehensively use legal knowledge from different fields to analyze problems and design solutions by analyzing the processing process and results of legal advisors. This deep application can not only improve the performance of the AI system, but also provide legal advisors with more powerful technical support, and promote the intelligent development of legal services.

(3) Collaborative development path of artificial intelligence and government legal advisory work Preliminary exploration 。

1. The effect of the coordinated development of artificial intelligence and government legal advisory work.

(1 ） Deep integration of technology and law 。 Achieving deep integration of artificial intelligence and government legal advisory work is the key to future development This integration requires design and optimization from multiple aspects such as technical architecture, data sharing, and business processes. First, in terms of technical architecture, it is necessary to build a platform that can support the seamless integration of AI technology and the work of legal advisors. The platform should have efficient data processing capabilities, strong algorithm support, and flexible business customization functions to meet the needs of different types of legal services. Secondly, in terms of data sharing, it is necessary to establish a secure and reliable data sharing mechanism to ensure that the data in the work of legal advisors can be transmitted to the AI system in a timely and accurate manner, while ensuring data privacy and security. Through data sharing, the AI system can obtain the latest legal data in real time, providing legal advisors with more accurate decision support. Finally, in terms of business processes, it is necessary to optimize and adjust the workflow of legal advisors so that it can be better combined with AI technology. For example, the preliminary review results of the AI system can be used as a pre-stage in the work of legal advisors, and the legal advisors can conduct in-depth analysis and judgment on this basis, thereby improving work efficiency and quality.

(2 ） Human-computer collaboration mode . Human-computer collaboration is an important model for the integration of artificial intelligence and the work of government legal advisors. In this model, lawyers and AI systems each play their advantages and jointly complete legal service tasks. Lawyers have rich legal knowledge, professional judgment, and flexible adaptability, and can provide key legal opinions when dealing with complex legal issues. The AI system has efficient data processing capabilities, accurate analysis capabilities, and all-weather service capabilities, and can provide strong assistance in repetitive work and data support. For example, when dealing with a complex case involving intellectual property rights and contract disputes, the AI system can quickly retrieve relevant laws and regulations and cases, conduct preliminary review of the contract text, extract key information, and conduct risk assessment. Lawyers can analyze the legal issues of the case further and formulate reasonable legal strategies based on the output of the AI system, combined with their professional knowledge and experience. Through human-computer collaboration, the advantages of both parties can be fully utilized to improve the overall quality and efficiency of legal services.

2. Collaborative Development Tools for Artificial Intelligence and Government Legal Advisors - Taking DeepSeek as an Example.

DeepSeek was established on July 17, 2023, by the well-known quantitative asset management giant Phantom Fang Quantitative, focusing on the development of advanced large language models (LLM) and related technologies. DeepSeek has many advantages in the collaborative development of artificial intelligence and the legal services industry, covering technical capabilities, data processing, professional knowledge integration, user experience, cost-effectiveness, security and other dimensions.

In terms of technology, artificial intelligence has powerful natural language processing (NLP) capabilities, which can accurately understand complex legal texts, including contracts, judgments, regulations, etc. This capability enables lawyers to quickly retrieve and analyze a large number of legal documents, saving time and effort. Efficient legal information retrieval, using deep learning algorithms, its artificial intelligence can quickly locate relevant cases, regulations and precedents in a huge legal database, helping government legal advisors quickly find the legal basis they need. Intelligent contract review and generation can automatically review contract terms, identify potential legal risks, and propose modification suggestions. In addition, it can also automatically generate contract texts that meet legal requirements according to templates, improving the efficiency and accuracy of contract drafting.

In terms of data processing, it can process massive legal data from different sources, including laws and regulations, judicial cases, academic papers, etc. Through real-time data analysis, it can provide government legal advisors with the latest legal trends and trend analysis, helping them make informed decisions in a dynamically changing legal environment.

In terms of legal professional knowledge integration, the artificial intelligence has a comprehensive knowledge base covering Chinese laws and regulations, judicial interpretations, typical cases, etc., to ensure that lawyers can obtain authoritative legal information during use. and supports legal information inquiries in both Chinese and English or multiple languages to meet the legal advisory service needs for handling transnational cases.

In terms of user experience, the artificial intelligence has an intuitive and friendly interface, and users can get started without complicated training. The simple operation process improves work efficiency, and it supports use on multiple devices such as computers, tablets, and mobile phones, making it convenient for lawyers to access and use DeepSeek's services anytime and anywhere. Users can customize function modules and preference settings according to their needs to make it more in line with their personal work habits.

In terms of security, DeepSeek supports open source and local deployment. That is to say, the code of the model is public, users can freely download and modify it, and users can run it independently on their own servers or devices without relying on the network, and can form a knowledge tool library closely related to the user's work through training, which is very important for users with data privacy and security needs.

III. Problems in the working mechanism of artificial intelligence and government legal advisors

(1) Technical problems 。

1. The limitations of AI technology in legal reasoning. Although artificial intelligence performs well in processing large amounts of data and conducting basic legal analysis, its ability to understand and reason about complex legal issues is still insufficient. Legal provisions are often highly complex and ambiguous, and require in-depth interpretation in combination with specific case details, while AI systems usually rely on existing data and rules and cannot fully grasp the deep meaning and social background of the law.

2. Data privacy and security issues. AI needs to process a large amount of sensitive data in legal services, including personal information and case data. The collection, storage and use of this data involves privacy protection and data security issues. If the data is not properly protected, it may lead to leakage, bringing legal risks and economic losses to users.

3. Algorithm bias and discrimination. The decision-making process of AI systems may be affected by biases in the training data, leading to unfair results in legal applications. For example, some AI systems may produce discriminatory judgments when dealing with cases of specific groups due to data bias, which not only affects the fairness of the law but may also trigger social conflicts.

(2) Legal issues 。

1. The issue of legal responsibility attribution. If the AI system makes a mistake in providing legal advice or generating legal documents, who should bear the responsibility is still an unresolved issue. If the case is lost due to the AI's mistake, the division of relevant responsibilities will involve complex legal ethics and responsibility issues, which are not clearly stipulated in the current legal framework.

2. Legal ethics issues.

The application of AI in legal services has raised a series of ethical issues. For example, how to ensure that AI's decisions are not affected by bias, how to protect client privacy, and how to ensure that AI's decisions comply with legal and ethical standards, these issues need to be discussed and resolved jointly by the legal and technical communities.

(3) Practical problems 。

1. Insufficient technical compatibility . Many AI tools currently fail to fully consider the special needs of government legal advisors when designing, resulting in insufficient compatibility in practical applications. For example, some AI systems may not be able to handle complex legal reasoning or specific legal scenarios, limiting their effectiveness in legal advisory work.

2. Shortage of professional talents Currently, there is a relative shortage of interdisciplinary talents who understand both law and AI technology, which makes it difficult for legal advisors to use AI tools. The lack of professional talent not only affects the effective application of AI technology but also limits the development of legal advisors in intelligent transformation.

(IV) Policy-level issues 。

1. Lack of unified technical standards and norms The application of AI in legal services lacks clear technical standards and norms, resulting in poor compatibility and interoperability between different AI systems. This lack of standardization makes it difficult for legal advisors to choose and use AI tools, affecting the promotion and application of AI technology.

2. Insufficient policy support. At present, the government invests less in the research and practice of combining AI with the work of legal advisors, and lacks corresponding policy support and financial investment. This makes many AI projects face the problems of capital shortage and unclear policies in the process of implementation, which limits their development and application.

IV Solutions Ideas

(I) Technical level optimization 。

1. Strengthen AI technology research and development 。 First Improve legal reasoning ability ， Through the further development of deep learning and natural language processing technologies, AI systems can better understand complex legal provisions and cases, thereby improving their performance in legal reasoning. Secondly Optimize the legal knowledge base ， Build a more comprehensive and accurate legal knowledge base to ensure that AI systems can obtain the latest laws, regulations, and case information to provide more accurate legal advice. Develop customized tools Develop customized AI tools for the characteristics of government legal advisor work, such as intelligent contract review systems, legal document generators, etc., to meet specific needs.

2. Build Or use Safe and reliable legal data platform 。 Including the use of advanced encryption technology and access control mechanisms to ensure the privacy and security of legal data. Establish a strict data quality management system to ensure that the data used by AI systems is accurate, complete, and reliable. Conduct regular compliance checks on the data platform to ensure that it complies with relevant laws and regulations.

(II) Improve Law Regulations Formulate Rules on the attribution of responsibility for AI in legal services 。

Through legislation and judicial interpretation, clarify the attribution of responsibility for errors when AI systems provide legal advice or generate legal documents. Establish an insurance mechanism, Encourage legal service providers to purchase professional liability insurance for AI systems to reduce potential legal liability risks. Establish ethical norms Clarify the role positioning and behavioral boundaries of AI in legal services to ensure that it meets legal and ethical standards. Establish an ethical review mechanism in the development and application of AI systems to ensure that their design and use meet ethical requirements.

(III) Practical level improvement plan 。

1. Use customized AI tools ， Such as DeepSeek. Develop AI tools that can automatically identify contract terms, assess legal risks, and provide modification suggestions. Use AI technology to generate high-quality legal documents, such as complaints, pleadings, etc., to improve document production efficiency. Provide users with real-time legal consulting services through natural language processing technology.

2. Strengthen talent training Promote the interdisciplinary education of law and AI technology to cultivate interdisciplinary talents who understand both law and technology. Provide AI technology training for existing legal advisors to help them better understand and apply AI tools.

(IV) Policy support 。

Formulate relevant policies and regulations, Clarify technical standards ， Formulate unified technical standards and norms to ensure the compatibility and interoperability between different AI systems. Increase policy support Establish special funds to support enterprises, universities, and research institutions to carry out research and practice combining AI and legal services. Provide tax incentives, subsidies, and other policy support for AI legal service providers to encourage their innovation and development.

V Conclu sion

 There is no practical significance in discussing "whether artificial intelligence will replace lawyers (legal advisors)". Only tools will be replaced by another tool. Artificial intelligence is a tool, but lawyers are not. In the coming era of artificial intelligence, exploring how "artificial intelligence +" can empower all walks of life is the right solution. This article focuses on how "artificial intelligence +" can empower the work of government legal advisors and realize the effective integration of the two. , roughly puts forward preliminary ideas, hoping to get practical optimization in the government legal service work and achieve the effect of improving efficiency. In general, the integration and coordinated development of "artificial intelligence + law" is the key. Correctly view the relationship between AI and people, find a balance point, and let AI truly become an effective tool for lawyers, so that lawyers can benefit from the work of government legal advisors.

 

About the author

Lawyer He Caibin ',Guangxi Tongwang Law Firm full-time lawyer, Deputy Director of the Government Legal Counsel and Administrative Legal Affairs Department of this firm, Master of Laws degree. He is currently a member of the Administrative Law and Government Legal Counsel Professional Committee of the Guangxi Lawyers Association, an expert in legal policy research in the Guangxi Natural Resources Expert Database, and an expert in the construction of the real estate registration system in the Guangxi Natural Resources Expert Database. Lawyer He Caibin is currently a legal advisor to a number of administrative agencies, and has conducted special lectures on administrative legal affairs for a number of enterprises and government departments. He has successfully represented a number of administrative cases with social impact and has rich experience in administrative, criminal and civil litigation.