Intelligent Legal Document Generation System and Method Based on Knowledge Graph
Haifeng Wei · 2024
Applying artificial intelligence to legal research will play a very important role in improving judicial efficiency and judicial quality. In order to solve the problems existing in the current automatic generation of judicial documents, such as loose logic, incomplete content and irregular language specifications, an intelligent automatic generation method of judicial documents based on knowledge graphs was applied. Based on the knowledge graph in the legal field, it uses its powerful reasoning and correlation to realize the intelligent automatic generation of legal issues. The study found that this method is superior to conventional rule-based search methods in multiple dimensions such as generation efficiency, quality, and content integrity, and its content integrity can reach up to 92%. This method can effectively conduct efficient and stable text queries, greatly improving the automation level of legal document generation. The application of knowledge graphs to legal research will greatly improve the efficiency and quality of trial document production, and is expected to bring about revolutionary changes in legal research and documentation, and promote the simplification and precision of the litigation process.