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Evidence record 936 · automatically gathered

When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval

Legal case retrieval remains challenging due to the complexity of legal language and the need for precise lexical alignment between queries and relevant cases. Although dense retrieval models have achieved notable progress, empirical studies show that BM25 continues to serve as a strong baseline in this domain. It motivates us to propose a self-evolving framework for rule-driven query rewriting that enhances BM25 without any parameter training. The framework equips an LLM-based agent with an aut

Record details

Published: 15 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (15 June 2026), “When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval,” evidence record 936, https://ethics.ai/record/936 (originally published by arXiv).

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