AI RESEARCH
RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game
arXiv CS.CL
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ArXi:2604.10740v1 Announce Type: new Despite the widespread adoption of Large Language Models (LLMs) in Legal AI, their utility for automated contract revision remains impeded by hallucinated safety and a lack of rigorous behavioral constraints. To address these limitations, we propose the Risk-Constrained Bilevel Stackelberg Framework (RCBSF), which formulates revision as a non-cooperative Stackelberg game.