In recent years, the state has been continuously promoting judicial reform and legal informationization. “Internet + Law†has become an important direction for innovation and entrepreneurship. With the rise of artificial intelligence technology, the application of artificial intelligence in the field of legal services has gradually entered the public eye. The “2018 Artificial Intelligence Assistance Legal Service Research Report†recently released by Yiou Think Tank analyzes and interprets the application of artificial intelligence in the legal field. This article is selected from the second chapter of the report, focusing on the specific application of artificial intelligence in the legal field from the perspective of the three major participants.
From the perspective of product form, the application of AI in the legal field is mainly reflected in four forms: information retrieval, document review, case prediction, and intelligent consultation. Companies involved in AI application in law, there are integrated AI technology and solution providers, such as Baidu, Ali, Keda Xunfei, etc., as well as professional legal information platform or legal information enterprise, such as Huayu software, no litigation. There are listed companies, such as Huayu Software, Ali, etc., as well as start-up companies, such as the French dog.
However, in order to better understand, Yiou think tank analyzes the application of AI from different participants of legal services: parties (individuals or enterprises), lawyers (lawyers and law firms, etc.) and courts (courts and procurators).
party
AI products are applied to the three main directions of the parties:
Legal advice
When the parties encounter legal problems, they can consult through the intelligent question and answer platform, and the platform gives relevant legal advice according to the case. The platform uses AI to achieve natural language recognition, as well as clearer problem understanding, analysis and answers. At present, each platform has a lot of room for improvement in natural language understanding. The consulting platform/robot is currently mainly used for marriage, labor, private lending, intellectual property, and other types of simple disputes that are common in working life, instead of lawyers. Complex issues still require assistance to lawyers.
2. Lawyer docking
The lawyer O2O platform intelligently recommends matching lawyers based on the information of the client's case through search or question-and-answer. The search lawyer O2O platform identifies the natural language requirements by processing natural language, and searches for matching lawyers for the parties. Conversational robots first conduct machine Q&A, and intelligently match the corresponding lawyers according to the specific circumstances of the case provided by the user.
3. Legal services
The text processing capabilities of artificial intelligence can help enterprises to solve specific problems, such as contract drafting and review, legal risk monitoring. At present, such AI products are mostly used by enterprises in the form of legal service software or SaaS. The intelligent legal platform can avoid human negligence, improve the efficiency of document processing, and the audit process will not be affected by issues such as bribery. However, the AI ​​can only conduct basic audits, and complex clauses involve the participation of people.
Lawyer/law firm
There are three main directions for AI to apply to lawyers and law firms:
1. Information search and file processing
Through AI, the legal provisions, judgments, etc. are structured, so that lawyers can search for relevant legal provisions, past relevant case judgments, etc. according to the natural language or key information of the case, for reference by lawyers. At present, each platform has a lot of room for improvement in natural language understanding.
2. Case prediction
On the basis of information retrieval, based on artificial intelligence technology, it can provide related case analysis, success rate analysis, related enterprise analysis, data visualization, and case judgment result prediction. Domestic rationale and law dog have launched related products and services. In foreign countries, companies such as Lex Machina and CaseCrunch are engaged in related services. According to CaseCrunch, its AI beat the 62.3% success rate of human lawyers with a success rate of 86.6% in judgment prediction.
3. Intelligent customer service
The lawyer integrates the consulting robot into his own public number, website, etc. As a smart customer service, he provides simple legal consulting services for clients and frees lawyers from low-value simple consulting problems. Intelligent customer service can also help lawyers to initially screen customers, and high-value customers are handed over by lawyers to improve the efficiency of lawyers.
The intelligent customer service technology is no different from the robot for personal consultation, but the intelligent customer service developed by the company is only for the B-end service such as law firm, such as the law group.
Court/prosecution
There are three main directions for AI to apply to the court:
Document processing
Legal documents are processed through AI, such as court voices, texts, and judgments.
The indictment and judgment are automatically generated: some court platforms, such as the Hangzhou Internet Court, use artificial intelligence to automatically generate indictments and judgments. The parties only need to enter relevant materials to quickly generate an indictment through the intelligent platform. After the court has finished the judgment, the platform can automatically generate some or all of the judgments, greatly improving the efficiency of the judges.
Court trial voice transfer system: During the trial, the clerk is required to make a written record of the statements made by the parties. At present, many courts have begun to apply the artificial intelligence-based voice transfer system to the trial, which assists the clerk's work and reduces the workload of the clerk.
2. Trial assistance
The case-assisted hearing system is based on big data, machine learning and other technologies. Through a large number of cases, the intelligent system learns to improve the evidence information and predict the outcome of the case, which provides a reference for the judge's decision. The case-assisted hearing system standardizes the judgment process, improves the consistency of judgments, reduces the possibility of occurrence of false and wrong cases, and enhances the credibility of the judiciary.
3. Intelligent consultation
The court provides legal advice to the public through intelligent customer service robots, AI or entities. The public robots such as the Xiamen Court “Legal System of the Bohai Seaâ€, the Shenzhen International Court of Arbitration “Small 3iâ€, etc., the physical robots have the “Nan Xiaofa†of the Shenzhen Nanshan Judicial Bureau. The intelligent consulting is the same as the technology behind the intelligent customer service of the law firm and the legal consultation of the parties. There are also dogs and dogs that provide intelligent customer service robots for the public, law firms, courts, etc.
In this article, only a part of the contents of the report was presented. More content can be downloaded from the original 31-page report to fully understand the research and analysis content of this report.
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