DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model
This addresses the need for more effective legal assistance in China, where existing systems fail to handle complex legal questions, though it appears incremental as it adapts LLMs to a specific domain.
The authors tackled the problem of traditional legal retrieval systems lacking semantic understanding by developing DeliLaw, a Chinese legal counselling system based on a large language model, which integrates legal and case retrieval modules to reduce hallucinations and supports dialogue-based queries in Chinese and English.
Traditional legal retrieval systems designed to retrieve legal documents, statutes, precedents, and other legal information are unable to give satisfactory answers due to lack of semantic understanding of specific questions. Large Language Models (LLMs) have achieved excellent results in a variety of natural language processing tasks, which inspired us that we train a LLM in the legal domain to help legal retrieval. However, in the Chinese legal domain, due to the complexity of legal questions and the rigour of legal articles, there is no legal large model with satisfactory practical application yet. In this paper, we present DeliLaw, a Chinese legal counselling system based on a large language model. DeliLaw integrates a legal retrieval module and a case retrieval module to overcome the model hallucination. Users can consult professional legal questions, search for legal articles and relevant judgement cases, etc. on the DeliLaw system in a dialogue mode. In addition, DeliLaw supports the use of English for counseling. we provide the address of the system: https://data.delilegal.com/lawQuestion.