Legal Case Retrieval: A Survey of the State of the Art
Yi Feng, Chuanyi Li, Vincent Ng
2024Year
15Citations
8Top-tier citations
Abstract
Recent years have seen increasing attention on Legal Case Retrieval (LCR), a key task in the area of Legal AI that concerns the retrieval of cases from a large legal database of historical cases that are similar to a given query. This paper presents a survey of the major milestones made in LCR research, targeting researchers who are finding their way into the field and seek a brief account of the relevant datasets and the recent neural models and their performances.
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Install the CLIlune papers fulltext 123aab20-2bcd-4f20-b8b5-0fc4b345020cCited by top-tier papers8
- MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal RetrievalSiyue Zhang, Yuan Gao, Xiao Zhou, Yilun Zhao et al.ICLR 2026 · 13 citations
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- ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-ReviewingXiuxuan Shen, Zhongyuan Jiang, Junsan Zhang, Junxiao Han et al.ACL 2025 · 2 citations
Builds on5
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- Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionWeijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong et al.SIGIR 2022 · 45 citations
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- Investigating User Behavior in Legal Case RetrievalYunqiu Shao, Yueyue Wu, Yiqun Liu, Jiaxin Mao et al.SIGIR 2021 · 25 citations
- Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal SearchYixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao et al.SIGIR 2022 · 20 citations
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