UK-PRBENCH: A Paragraph-Level Precedent Retrieval Benchmark for United Kingdom Case Law
cs.IR, cs.CL
Submitted: 2026-09-21
Updated: 2026-09-21
Code: https://github.com/UCREL/hex
License: http://creativecommons.org/licenses/by/4.0/
The gist: Prior case retrieval (PCR) aims to identify precedent cases relevant to a given query case.
Terminology
Abstract
Prior case retrieval (PCR) aims to identify precedent cases relevant to a given query case. Existing PCR benchmarks and methods predominantly operate at the document level, treating entire judgments as the unit of relevance. This formulation is suboptimal for legal practitioners, as judgments address multiple legal issues and only a small subset of paragraphs is relevant to a particular query. Addressing this gap, we introduce UK-PRBench, a benchmark for paragraph-level precedent retrieval in UK case law, constructed from judgments obtained from the UK National Archives and covering a broad range of UK courts and tribunals. Furthermore, we evaluate state-of-the-art retrieval models and establish baseline results. Our experiments show that paragraph-level precedent retrieval remains challenging for current retrieval approaches, highlighting substantial room for improvement. UK-PRBench provides a standardised benchmark for evaluating fine-grained precedent retrieval and advancing retrieval systems for the UK legal domain.
Sources
- The Massive Legal Embedding Benchmark (MLEB)
- LGAI-EMBEDDING-Preview Technical Report
- Nomic Embed: Training a Reproducible Long Context Text Embedder
- Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
- Jasper-Token-Compression-600M Technical Report
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
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