The Cambridge Law Corpus: A Dataset for Legal AI Research
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Abstract (arXiv)
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.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 20 of its 60 references that are in the map. First posted on arXiv 21 Sep 2023.
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Citing papers per year: 2024: 6; 2025: 2; 2026: 6.
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- 2024Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Toolscited by 176
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
- 2024LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Datasetcited by 8
- 2024LegiLM: A Fine-Tuned Legal Language Model for Data Compliancecited by 6
- 2024The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunalcited by 5
- 2024Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgmentcited by 3
- 2025Computational Law: Datasets, Benchmarks, and Ontologiescited by 2
- 2025LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluationcited by 2
- 2026SinhaLegal: A Benchmark Corpus for Information Extraction and Analysis in Sinhala Legislative Textscited by 1
- 2026PYTHEN: A Flexible Framework for Legal Reasoning in Pythoncited by 1
- 2026Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learningcited by 1
- 2026Gated Against One Model, Open to the Next: Option-Only Solvability in Legal Multiple-Choice Benchmarkscited by 1
- 2026How Much is a Human Right Worth? ECtHR-NPD: A Benchmark for Predicting Non-Pecuniary Damage Awards16 Sep 2026
- 2026Gated Against One Model, Open to the Next: Option-Only Solvability in Legal Multiple-Choice Benchmarks15 Aug 2026
- 2026Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning25 Jun 2026
- 2026The Crutch or the Ceiling? How Different Generations of LLMs Shape EFL Student Writings16 Apr 2026
- 2026PYTHEN: A Flexible Framework for Legal Reasoning in Python16 Mar 2026
- 2026SinhaLegal: A Benchmark Corpus for Information Extraction and Analysis in Sinhala Legislative Texts5 Mar 2026
- 2025LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation26 May 2025
- 2025Computational Law: Datasets, Benchmarks, and Ontologies6 Mar 2025
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges25 Oct 2024
- 2024The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal12 Sep 2024
- 2024LegiLM: A Fine-Tuned Legal Language Model for Data Compliance9 Sep 2024
- 2024Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools30 May 2024
- 2024Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Toolscited by 176
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
- 2024LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Datasetcited by 8
- 2024LegiLM: A Fine-Tuned Legal Language Model for Data Compliancecited by 6
- 2024The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunalcited by 5
- 2024Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgmentcited by 3
- 2025Computational Law: Datasets, Benchmarks, and Ontologiescited by 2
- 2025LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluationcited by 2
- 2026SinhaLegal: A Benchmark Corpus for Information Extraction and Analysis in Sinhala Legislative Textscited by 1
- 2026PYTHEN: A Flexible Framework for Legal Reasoning in Pythoncited by 1
- 2026Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learningcited by 1
- 2026Gated Against One Model, Open to the Next: Option-Only Solvability in Legal Multiple-Choice Benchmarkscited by 1
12 most cited of 14 All 14 (JSON)
- 2026How Much is a Human Right Worth? ECtHR-NPD: A Benchmark for Predicting Non-Pecuniary Damage Awards16 Sep 2026
- 2026Gated Against One Model, Open to the Next: Option-Only Solvability in Legal Multiple-Choice Benchmarks15 Aug 2026
- 2026Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning25 Jun 2026
- 2026The Crutch or the Ceiling? How Different Generations of LLMs Shape EFL Student Writings16 Apr 2026
- 2026PYTHEN: A Flexible Framework for Legal Reasoning in Python16 Mar 2026
- 2026SinhaLegal: A Benchmark Corpus for Information Extraction and Analysis in Sinhala Legislative Texts5 Mar 2026
- 2025LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation26 May 2025
- 2025Computational Law: Datasets, Benchmarks, and Ontologies6 Mar 2025
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges25 Oct 2024
- 2024The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal12 Sep 2024
- 2024LegiLM: A Fine-Tuned Legal Language Model for Data Compliance9 Sep 2024
- 2024Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools30 May 2024
12 newest of 14 All 14 (JSON)