TL;DR
DeliLaw is a Chinese legal counselling system leveraging a large language model that integrates legal and case retrieval modules to provide accurate, multilingual legal advice through dialogue, addressing limitations of traditional retrieval systems.
Contribution
We developed DeliLaw, a novel Chinese legal counselling system based on a large language model with integrated retrieval modules, enhancing legal question understanding and multilingual support.
Findings
Effective legal question understanding in Chinese and English.
Integration of retrieval modules reduces model hallucination.
System provides accurate legal advice and case retrieval.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
