A Short Survey of Viewing Large Language Models in Legal Aspect
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Abstract (arXiv)
Large language models (LLMs) have transformed many fields, including natural language processing, computer vision, and reinforcement learning. These models have also made a significant impact in the field of law, where they are being increasingly utilized to automate various legal tasks, such as legal judgement prediction, legal document analysis, and legal document writing. However, the integration of LLMs into the legal field has also raised several legal problems, including privacy concerns, bias, and explainability. In this survey, we explore the integration of LLMs into the field of law. We discuss the various applications of LLMs in legal tasks, examine the legal challenges that arise from their use, and explore the data resources that can be used to specialize LLMs in the legal domain. Finally, we discuss several promising directions and conclude this paper. By doing so, we hope to provide an overview of the current state of LLMs in law and highlight the potential benefits and challenges of their integration.
Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). Builds on 18 of its 99 references that are in the map. First posted on arXiv 16 Mar 2023.
Builds on
18 of 99 references.
References · 18
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- 2022State of the Art in Artificial Intelligence applied to the Legal Domaincited by 3
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Citing papers per year: 2023: 12; 2024: 27; 2025: 11; 2026: 1.
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- 2024A Survey on Knowledge Distillation of Large Language Models20 Feb 2024
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- 2023Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?1 Dec 2023
- 2023Unifying Corroborative and Contributive Attributions in Large Language Models20 Nov 2023
- 2023Large Language Models are legal but they are not: Making the case for a powerful LegalLLM15 Nov 2023
- 2023Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration13 Oct 2023
- 2023Generative AI Text Classification using Ensemble LLM Approaches14 Sep 2023
- 2023Data-Juicer: A One-Stop Data Processing System for Large Language Models5 Sep 2023
- 2023Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey30 May 2023
- 2023Is GPT-4 a Good Data Analyst?24 May 2023
- 2023Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning24 May 2023
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- 2025KoBLEX: Open Legal Question Answering with Multi-hop Reasoningcited by 7
- 2024Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrievalcited by 1
- 2025VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Modelscited by 1
- 2026Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshapingcited by 1
- 2026Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping6 Mar 2026
- 2025VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models16 Dec 2025
- 2025KoBLEX: Open Legal Question Answering with Multi-hop Reasoning1 Sep 2025
- 2024Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval16 Oct 2024
- 2024Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models21 Jun 2024
- 2023Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning24 May 2023
- 2025Abstract Counterfactuals for Language Model Agentscited by 2
- 2025DashChat: Interactive Authoring of Performance Dashboard Design Prototypes through Conversation with LLM-Powered Agentcited by 1
- 2024An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counselingcited by 0
- 2025Abstract Counterfactuals for Language Model Agents3 Jun 2025
- 2025DashChat: Interactive Authoring of Performance Dashboard Design Prototypes through Conversation with LLM-Powered Agent17 Apr 2025
- 2024An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling29 Oct 2024
- 2024Aligning CodeLLMs with Direct Preference Optimizationcited by 9
- 2024Aligning CodeLLMs with Direct Preference Optimization24 Oct 2024
- 2023A Survey of Large Language Modelscited by 2,537
- 2024A Survey on Knowledge Distillation of Large Language Modelscited by 276
- 2023Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Surveycited by 134
- 2023Is GPT-4 a Good Data Analyst?cited by 69
- 2023Data-Juicer: A One-Stop Data Processing System for Large Language Modelscited by 52
- 2023Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaborationcited by 52
- 2023An Empirical Study on Information Extraction using Large Language Modelscited by 46
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
- 2024What is the Role of Small Models in the LLM Era: A Surveycited by 41
- 2024LawLLM: Law Large Language Model for the US Legal Systemcited by 37
- 2024LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Modelscited by 36
- 2024Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformerscited by 32
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- 2025Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations13 Sep 2025
- 2025Large Language Models Meet Legal Artificial Intelligence: A Survey12 Sep 2025
- 2025Charting the Future of Scholarly Knowledge with AI: A Community Perspective27 Aug 2025
- 2025Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: A Comparative Study11 Jul 2025
- 2025RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data25 May 2025
- 2025"I Apologize For Not Understanding Your Policy": Exploring the Specification and Evaluation of User-Managed Access Control Policies by AI Virtual Assistants12 May 2025
- 2025Fundamental Limits of Perfect Concept Erasure25 Mar 2025
- 2024A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement29 Dec 2024
- 2024PIM-AI: A Novel Architecture for High-Efficiency LLM Inference26 Nov 2024
- 2024Fair In-Context Learning via Latent Concept Variables4 Nov 2024
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges25 Oct 2024
- 2024LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models30 Sep 2024
12 newest of 38 All 38 (JSON)