Work

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

Year: 2025

Type: conference-paper

Abstract: 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.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-industry.47

Authors: Santosh T.y.s.s, Mahmoud Aly, Oana Ichim, Matthias Grabmair

Institutions: Technical University of Munich, Graduate Institute of International and Development Studies

Language: English

Topic: Artificial Intelligence in Law

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

OpenAlex ID: W4412887030