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LawLLM: Intelligent Legal System with Legal Reasoning and Verifiable Retrieval

  • Shengbin Yue,
  • Shujun Liu,
  • Yuxuan Zhou,
  • Chenchen Shen,
  • Siyuan Wang,
  • Yao Xiao,
  • Bingxuan Li,
  • Yun Song,
  • Xiaoyu Shen,
  • Wei Chen,
  • Xuanjing Huang,
  • Zhongyu Wei

摘要

We propose LawLLM, an LLM-powered intelligent legal system featuring on (1) Versatile Services: LawLLM provides a versatile diverse range of services through its multi-task capabilities; (2) Legal Reasoning: It is fine-tuned on supervised instruction data curated with legal syllogism prompting, enabling LawLLM to develop stronger legal reasoning capabilities based on clear judicial logics; (3) Verifiable Retrieval: with verifiable labels, LawLLM can first distinguish relevant external knowledge, then incorporate and finally validate it, enhancing the quality and actuality of model output. A comprehensive legal benchmark, Law-Eval, is further constructed to evaluate intelligent legal systems from both objective and subjective dimensions. Experiments demonstrate the effectiveness of our system in serving various users across diverse legal scenarios. The detailed resources are available at https://github.com/FudanDISC/DISC-LawLLM .