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arxiv 2503.03266 v1 pith:JIDSOBFB submitted 2025-03-05 cs.CL

LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law

classification cs.CL
keywords structuredreportscaselegallexgenietopicanalysisautomated
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Analyzing large volumes of case law to uncover evolving legal principles, across multiple cases, on a given topic is a demanding task for legal professionals. Structured topical reports provide an effective solution by summarizing key issues, principles, and judgments, enabling comprehensive legal analysis on a particular topic. While prior works have advanced query-based individual case summarization, none have extended to automatically generating multi-case structured reports. To address this, we introduce LexGenie, an automated LLM-based pipeline designed to create structured reports using the entire body of case law on user-specified topics within the European Court of Human Rights jurisdiction. LexGenie retrieves, clusters, and organizes relevant passages by topic to generate a structured outline and cohesive content for each section. Expert evaluation confirms LexGenie's utility in producing structured reports that enhance efficient, scalable legal analysis.

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Cited by 1 Pith paper

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  1. Generating Legal Commentaries from Case Databases via Retrieval, Clustering, and Generation

    cs.CL 2026-05 unverdicted novelty 6.0

    An automated retrieval-clustering-LLM pipeline turns 4,555 German Federal Court decisions into citation-rich commentaries on BGB sections 242, 280, 812 and 823.