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The Cambridge Law Corpus: A Dataset for Legal AI Research

We introduce the Cambridge Law Corpus (CLC), a dataset for legal AI research. It consists of over 250 000 court cases from the UK. Most cases are from the 21st century, but the corpus includes cases as old as the 16th century. This paper presents the first release of the corpus, containing the raw text and meta-data. Together with the corpus, we provide annotations on case outcomes for 638 cases, done by legal experts. Using our annotated data, we have trained and evaluated case outcome extraction with GPT-3, GPT-4 and RoBERTa models to provide benchmarks. We include an extensive legal and ethical discussion to address the potentially sensitive nature of this material. As a consequence, the corpus will only be released for research purposes under certain restrictions.

preprint2024arXivOpen access
Andreas ÖstlingHolli SargeantHuiyuan XieLudwig BullAlexander TereninLeif JonssonMåns MagnussonFelix Steffek
Computation and Languagecs.CYApplications
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Open access8 authors3 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Andreas ÖstlingHolli SargeantHuiyuan XieLudwig BullAlexander TereninLeif JonssonMåns MagnussonFelix Steffek

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