L-MAD: A Systematic Evaluation of Multi-Agent Debate Structures in Legal Reasoning
The paper presents the Legal Multi-Agent Debate (L-MAD) framework for evaluating debate structures in legal textual entailment. Experiments show that L-MAD can surpass strong single-agent baselines by up to 8%, while scaling analyses reveal a trade‑off between agent population size and discussion rounds. The authors identify practical boundaries and safety considerations for using collaborative multi‑agent systems in high‑stakes legal reasoning.
- ▪L-MAD introduces distinct expert personas for agents to improve performance on legal textual entailment tasks.
- ▪Increasing the number of agents reduces inconsistency and boosts accuracy, whereas adding more discussion rounds leads to over‑deliberation drift.
- ▪The framework achieves up to an 8% improvement over strong single‑agent baselines.
- ▪The study highlights safety margins and practical limits for deploying multi‑agent debate systems in legal contexts.
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Computer Science > Artificial Intelligence arXiv:2607.09099 (cs) [Submitted on 10 Jul 2026] Title:L-MAD: A Systematic Evaluation of Multi-Agent Debate Structures in Legal Reasoning Authors:Tan-Minh Nguyen, Hoang-Trung Nguyen, Huu-Dong Nguyen, Dinh-Truong Do, Thi-Hai-Yen Vuong, Le-Minh Nguyen View a PDF of the paper titled L-MAD: A Systematic Evaluation of Multi-Agent Debate Structures in Legal Reasoning, by Tan-Minh Nguyen and 5 other authors View PDF HTML (experimental) Abstract:While multi-agent debate (MAD) frameworks have shown significant potential in general reasoning, their effectiveness in highly structured, knowledge-heavy legal domains remains under-explored.
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