arXiv: cs.AI preprintsInternational5 November 2026
LegalEvolver: Agentic Legal Judgment Prediction via Rubric-Guided Self-Evolution
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arXiv:2611.06381v1 Announce Type: new Abstract: As LLM-based agents develop, they have been increasingly applied in the legal domain. Legal Judgment Prediction~(LJP) requires models to conduct multi-step reasoning and external legal evidence retrieval. Existing legal search agents' performance is often constrained by the quality of retrieval queries. They often formulate queries directly from the initial user request, overlooking latent legal issues and legally salient details. To address this issue, we propose \emph{LegalEvolver}, a query optimization framework specifically designed to genera
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