articleFundamental ResearchMay 1, 2026GOLD OA

Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

JCJiaxi CuiMNMunan NingZLZongjian LiHLHao LiYYYan Yang

Peking University Shenzhen Hospital · Peng Cheng Laboratory · +1 more institution

Indexed inarxivcrossrefdatacitedoaj

Abstract

Artificial Intelligence (AI) holds great potential in legal services, yet Large Language Models (LLMs) face two major challenges: limited knowledge of the Chinese legal system and vulnerability to hallucinations. To address these issues, we present Chatlaw, a multi-agent legal assistant. Chatlaw’s framework is designed to emulate the Standard Operating Procedures (SOP) of real law firms, where different roles (e.g., assistant, researcher, senior lawyer) collaborate on a case. To computationally mirror this collaborative structure, we developed a novel Role-Aligned Mixture-of-Experts (RA-MoE) architecture. In this system, the internal "experts" are specifically trained to align with the distinct tasks of each…

Citation impact

92
total citations
FWCI
29.79
Percentile
100%
References
23
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Authors

9

Topics & keywords

Keywords
  • Computer science
  • Domain (mathematical analysis)
  • Language model
  • Data science
  • Quality (philosophy)
  • Data modeling
  • Information retrieval
  • Data model (GIS)
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