{
  "id": 18252117,
  "title": "LegalEvolver: Agentic Legal Judgment Prediction via Rubric-Guided Self-Evolution",
  "url": "https://urgent.news/2026/11/04/legalevolver-agentic-legal-judgment-prediction-via-rubric-guided-self",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T11:45:46.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.06381v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}