LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866917946397294592 |
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| author | Santosh, T. Y. S. S Aly, Mahmoud Ichim, Oana Grabmair, Matthias |
| author_facet | Santosh, T. Y. S. S Aly, Mahmoud Ichim, Oana Grabmair, Matthias |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_03266 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law Santosh, T. Y. S. S Aly, Mahmoud Ichim, Oana Grabmair, Matthias Computation and Language 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. |
| title | LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2503.03266 |