arXiv Open Access 2025

Simulating Dispute Mediation with LLM-Based Agents for Legal Research

Junjie Chen Haitao Li Minghao Qin Yujia Zhou Yanxue Ren +4 lainnya

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Abstrak

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.

Topik & Kata Kunci

cs.CY

Penulis (9)

Junjie Chen

Haitao Li

Minghao Qin

Yujia Zhou

Yanxue Ren

Wuyue Wang

Yiqun Liu

Yueyue Wu

Qingyao Ai

Format Sitasi

APA MLA BibTeX

Chen, J., Li, H., Qin, M., Zhou, Y., Ren, Y., Wang, W. et al. (2025). Simulating Dispute Mediation with LLM-Based Agents for Legal Research. https://arxiv.org/abs/2509.06586

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓