法律 AI // 资讯总览
需要被持续追踪的
法律 AI 信号。
本期索引按监管、判例、实务与研究归档；可依主题或关键字定位已发布记录。
法律 AI // 资讯总览
本期索引按监管、判例、实务与研究归档；可依主题或关键字定位已发布记录。
原题: Simulating Dispute Mediation with LLM-Based Agents for Legal Research
反映国内外法律 AI 行业发展、前沿技术演进与学术治理动态。
arXiv论文《Simulating Dispute Mediation with LLM-Based Agents for Legal Research》介绍了AgentMediation，即一个基于大语言模型代理的纠纷调解模拟框架。论文指出，法律纠纷调解的实证研究受到隐私限制以及多变量交互复杂性的影响，因此该框架尝试基于现实世界纠纷模拟较为真实的调解过程，并对当事人策略、纠纷成因和调解员专业能力等变量开展受控实验。实证分析显示，模拟结果呈现出与群体极化、表层共识等社会学理论相一致的模式。论文将AgentMediation定位为综合性且可扩展的平台，用于推动社会科学与人工智能在法律研究中的进一步结合。
展示来源全文，完整内容以原文页面为准。
arXiv:2509.06586v2 Announce Type: replace Abstract: Legal dispute mediation plays a crucial role in resolving civil disputes, yet its empirical study is limited by privacy constraints and complex multivariate interactions. To address this limitation, we present AgentMediation, the first LLM-based agent framework for simulating dispute mediation. It simulates realistic mediation processes grounded in real-world disputes and enables controlled experimentation on key variables such as disputant strategies, dispute causes, and mediator expertise. Our empirical analysis reveals patterns consistent with sociological theories, including Group Polarization and Surface-level Consensus. As a comprehensive and extensible platform, AgentMediation paves the way for deeper integration of social science and AI in legal research.
文书与研报规范引注
《大语言模型代理模拟法律纠纷调解研究》（来源: arXiv cs.CY，发布日期: 2026/10/13，访问链接: https://arxiv.org/abs/2509.06586）