AI RESEARCH
Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization
arXiv CS.CL
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ArXi:2605.02011v1 Announce Type: new Automating the drafting of judgment documents is pivotal to judicial efficiency, yet it remains challenging due to the dual requirements of comprehensive retrieval of legal information and rigorous logical reasoning. Existing approaches, typically relying on standard Retrieval-Augmented Generation and Supervised Fine-Tuning, often suffer from insufficient evidence recall, hallucinated statutory references, and logically flawed legal reasoning.