Legal-NLP

This project aims to gather and organize research papers in the domain of Legal Natural Language Processing (NLP).

Survey

[1] How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence, 2020

[2] A Survey on Legal Question Answering Systems, 2021

[3] A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges, 2023

[4] Large Language Models in Law: A Survey, 2023

[5] Natural Language Processing in the Legal Domain, 2023

[6] Leveraging Natural Language Processing for Legal Research: Trends and Future Directions, 2023

[7] The Impact of Large Language Modeling on Natural Language Processing in Legal Texts: A Comprehensive Survey, 2023

[8] A short survey of viewing large language models in legal aspect, 2023

[9] A Survey on Challenges and Advances in Natural Language Processing with a Focus on Legal Informatics and Low-Resource Languages, 2024

[10] A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law, 2024

Benchmark

[1] LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models, 2023 [2] LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain, 2024

Dataset

CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction, [Data], 2018

LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System, [Data], 2021

A Statutory Article Retrieval Dataset in French, [Data], 2022

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset, [Data], 2022

LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset, [Data], 2023

CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation, [Data], 2024

COLIEE: Competition on Legal Information Extraction/Entailment, 2020-2024

STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals, [Data], 2024

LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models, [Data], 2024