{
  "id": 6075,
  "url": "https://arxiv.org/abs/2604.09069v1",
  "title": "NyayaMind- A Framework for Transparent Legal Reasoning and Judgment Prediction in the Indian Legal System",
  "summary": "Court Judgment Prediction and Explanation (CJPE) aims to predict a judicial decision and provide a legally grounded explanation for a given case based on the facts, legal issues, arguments, cited statutes, and relevant precedents. For such systems to be practically useful in judicial or legal research settings, they must not only achieve high predictive performance but also generate transparent and structured legal reasoning that aligns with established judicial practices. In this work, we prese",
  "authors": "Parjanya Aditya Shukla, Shubham Kumar Nigam, Debtanu Datta, Balaramamahanthi Deepak Patnaik, Noel Shallum, Pradeep Reddy Vanga et al.",
  "category": "research",
  "topics": "transparency",
  "orgs": null,
  "regions": "india",
  "published_at": "2026-04-10T07:51:42.000Z",
  "fetched_at": "2026-07-14T16:32:15.634Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6075",
  "original_url": "https://arxiv.org/abs/2604.09069v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}