LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law
This addresses the demanding task for legal professionals of analyzing multiple cases on a given topic, though it is incremental as it extends prior query-based summarization to multi-case reports.
The paper tackled the problem of analyzing large volumes of case law to uncover evolving legal principles by introducing LexGenie, an automated LLM-based pipeline that generates structured reports for European Court of Human Rights case law, with expert evaluation confirming its utility in enhancing efficient, scalable legal analysis.
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.