Legal IR papers target leakage in case-law retrieval
New work proposes temporally fenced retrieval and a CJEU dataset for more realistic legal search evaluation.
Why it matters
The work highlights how temporal leakage and simplified corpora can make legal IR systems look stronger than they would be in real legal practice. More realistic benchmarks could change how retrieval methods are developed and compared for legal AI tools.
The key points
- 1.Temporal fencing limits citation context to information available before the query case.
- 2.LegalPincite adds CJEU paragraph-level retrieval tasks with masked citation information.
- 3.Both reports warn that leakage can inflate legal IR performance.
Two new legal information retrieval reports focus on evaluation flaws that can inflate performance in case-law search. One arXiv paper introduces a parameter-free, temporally fenced retriever that restricts incoming citation context to citations predating the query case, and reports that 14.9% of an unfenced citation-context gain on ECtHR-PCR validation came from citations not known to predate the query. A separate LegalPincite dataset for CJEU judgments adds masked case and paragraph queries, all-paragraph corpora, and case- and paragraph-level citation ground truth with partial human expert validation.
⚡ Try this today
Audit legal retrieval evaluations for post-query citation leakage and paragraph-level corpus exclusions before relying on benchmark gains.
Sources & original reporting
This brief summarizes and links to reporting from the publishers below.
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