What About the Precedent: An Information-Theoretic Analysis of Common Law
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Abstract (arXiv)
In common law, the outcome of a new case is determined mostly by precedent cases, rather than by existing statutes. However, how exactly does the precedent influence the outcome of a new case? Answering this question is crucial for guaranteeing fair and consistent judicial decision-making. We are the first to approach this question computationally by comparing two longstanding jurisprudential views; Halsbury's, who believes that the arguments of the precedent are the main determinant of the outcome, and Goodhart's, who believes that what matters most is the precedent's facts. We base our study on the corpus of legal cases from the European Court of Human Rights (ECtHR), which allows us to access not only the case itself, but also cases cited in the judges' arguments (i.e. the precedent cases). Taking an information-theoretic view, and modelling the question as a case outcome classification task, we find that the precedent's arguments share 0.38 nats of information with the case's outcome, whereas precedent's facts only share 0.18 nats of information (i.e., 58% less); suggesting Halsbury's view may be more accurate in this specific court. We found however in a qualitative analysis that there are specific statues where Goodhart's view dominates, and present some evidence these are the ones where the legal concept at hand is less straightforward.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Apr 2021.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 2; 2024: 2; 2025: 2; 2026: 1.
11 papers.
- 2021LexGLUE: A Benchmark Dataset for Legal Language Understanding in Englishcited by 302
- 2022Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humanscited by 23
- 2022On the Role of Negative Precedent in Legal Outcome Predictioncited by 16
- 2023Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standardscited by 8
- 2025GuRE:Generative Query REwriter for Legal Passage Retrievalcited by 6
- 2022Disentangling Active and Passive Cosponsorship in the U.S. Congresscited by 4
- 2024Towards Explainability in Legal Outcome Prediction Modelscited by 4
- 2025AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Predictioncited by 3
- 2023The Ethics of Automating Legal Actorscited by 0
- 2024ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rightscited by 0
- 2026Mining Legal Arguments in U.S. Corporate Case Lawcited by 0
- 2026Mining Legal Arguments in U.S. Corporate Case Law21 Sep 2026
- 2025GuRE:Generative Query REwriter for Legal Passage Retrieval19 May 2025
- 2025AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction28 Feb 2025
- 2024ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights31 Mar 2024
- 2024Towards Explainability in Legal Outcome Prediction Models25 Mar 2024
- 2023The Ethics of Automating Legal Actors1 Dec 2023
- 2023Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards24 Jan 2023
- 2022Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans14 Sep 2022
- 2022On the Role of Negative Precedent in Legal Outcome Prediction17 Aug 2022
- 2022Disentangling Active and Passive Cosponsorship in the U.S. Congress19 May 2022
- 2021LexGLUE: A Benchmark Dataset for Legal Language Understanding in English3 Oct 2021