Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture
Peking University Shenzhen Hospital · Peng Cheng Laboratory · +1 more institution
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
- FWCI
- 29.79
- Percentile
- 100%
- References
- 23
Authors
9- JCJiaxi Cui
Peking University Shenzhen Hospital
- MNMunan Ning
Peking University Shenzhen Hospital, Peng Cheng Laboratory
- ZLZongjian Li
Peking University Shenzhen Hospital
- HLHao Li
Peking University Shenzhen Hospital, Peng Cheng Laboratory
- YYYan Yang
Peking University Shenzhen Hospital
Topics & keywords
- Computer science
- Domain (mathematical analysis)
- Language model
- Data science
- Quality (philosophy)
- Data modeling
- Information retrieval
- Data model (GIS)