用大模型自动生成欧人权法院案例的结构化报告，提升法律分析效率。
LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law
- 基于大模型检索并聚类案件文本，生成主题化报告框架
- 专家评估证实报告内容连贯且覆盖关键法律原则
- 适合法律研究者、律师快速掌握特定议题的判例演变
分析大量判例以揭示特定议题下法律原则的演变，对法律从业者而言是一项艰巨任务。结构化专题报告通过总结关键问题、法律原则和判决意见，为特定议题提供全面法律分析。尽管已有研究推进了基于查询的单个案件摘要，但尚未有工作能自动生成多案件结构化报告。为此，我们提出LexGenie，一种基于大模型的自动化流水线，可利用欧洲人权法院管辖范围内用户指定主题的全部案例法，自动生成结构化报告。LexGenie通过检索、聚类和按主题组织相关段落，生成各部分内容的结构化提纲与连贯文本。专家评估确认LexGenie生成的报告在提升高效、可扩展的法律分析方面具有实用性。
原文摘要 · Abstract (English)
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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