Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark
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Abstract (arXiv)
In many jurisdictions, the excessive workload of courts leads to high delays. Suitable predictive AI models can assist legal professionals in their work, and thus enhance and speed up the process. So far, Legal Judgment Prediction (LJP) datasets have been released in English, French, and Chinese. We publicly release a multilingual (German, French, and Italian), diachronic (2000-2020) corpus of 85K cases from the Federal Supreme Court of Switzerland (FSCS). We evaluate state-of-the-art BERT-based methods including two variants of BERT that overcome the BERT input (text) length limitation (up to 512 tokens). Hierarchical BERT has the best performance (approx. 68-70% Macro-F1-Score in German and French). Furthermore, we study how several factors (canton of origin, year of publication, text length, legal area) affect performance. We release both the benchmark dataset and our code to accelerate future research and ensure reproducibility.
Key facts. Cited by 60 papers in the map (data through 14 Oct 2026). Builds on 26 of its 54 references that are in the map. First posted on arXiv 2 Oct 2021.
Builds on
26 of 54 references.
References · 26
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Citing papers per year: 2022: 8; 2023: 12; 2024: 14; 2025: 16; 2026: 10.
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- 2025SwiLTra-Bench: The Swiss Legal Translation Benchmark3 Mar 2025
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- 2024Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset26 Feb 2024
- 2023Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning10 Dec 2023
- 2023Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration13 Oct 2023
- 2023Automatic Anonymization of Swiss Federal Supreme Court Rulings7 Oct 2023
- 2023Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents15 Sep 2023
- 2023Bringing order into the realm of Transformer-based language models for artificial intelligence and law10 Aug 2023
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- 2023LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domaincited by 68
- 2023MultiLegalPile: A 689GB Multilingual Legal Corpuscited by 60
- 2022Legal Prompt Engineering for Multilingual Legal Judgement Predictioncited by 55
- 2023Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaborationcited by 52
- 2022A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challengescited by 50
- 2022FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processingcited by 49
- 2022A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Predictioncited by 44
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
- 2022A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processingcited by 21
- 2023Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoningcited by 19
- 2022ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the UScited by 17
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- 2026How Much is a Human Right Worth? ECtHR-NPD: A Benchmark for Predicting Non-Pecuniary Damage Awards16 Sep 2026
- 2026Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning25 Jun 2026
- 2026Peeking Inside LLMs: Leveraging Internal Artifacts of LLMs for Enhancing Reliability in Legal Classification18 Jun 2026
- 2026Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions23 May 2026
- 2026Swiss-Bench SBP-002: A Frontier Model Comparison on Swiss Legal and Regulatory Tasks24 Mar 2026
- 2026LLM-Assisted Causal Structure Disambiguation and Factor Extraction for Legal Judgment Prediction12 Mar 2026
- 2026PLawBench: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice23 Jan 2026
- 2026Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions21 Jan 2026
- 2025Large Language Models Meet Legal Artificial Intelligence: A Survey12 Sep 2025
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