Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments
On the map: LLM agents and tool use → Social simulation and multi-agent debate
Abstract (arXiv)
The gap between static benchmarks and the dynamic nature of real-world legal practice poses a key barrier to advancing legal intelligence. To this end, we introduce J1-ENVS, the first interactive and dynamic legal environment tailored for LLM-based agents. Guided by legal experts, it comprises six representative scenarios from Chinese legal practices across three levels of environmental complexity. We further introduce J1-EVAL, a fine-grained evaluation framework, designed to assess both task performance and procedural compliance across varying levels of legal proficiency. Extensive experiments on 17 LLM agents reveal that, while many models demonstrate solid legal knowledge, they struggle with procedural execution in dynamic settings. Even the SOTA model, GPT-4o, falls short of 60% overall performance. These findings highlight persistent challenges in achieving dynamic legal intelligence and offer valuable insights to guide future research.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 32 of its 46 references that are in the map. First posted on arXiv 5 Jul 2025.
Builds on
32 of 46 references.
Closest ancestors · 6
Same direction, newest first
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- 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr
Other references · 26
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- 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 752
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- 2024InternLM2 Technical Reportcited by 397
- 2023SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agentscited by 367
- 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Modelscited by 336
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- 2021LexGLUE: A Benchmark Dataset for Legal Language Understanding in Englishcited by 310
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- 2024AgentGym: Evolving Large Language Model-based Agents across Diverse Environmentscited by 120
- 2023LawBench: Benchmarking Legal Knowledge of Large Language Modelscited by 117
- 2019JEC-QA: A Legal-Domain Question Answering Datasetcited by 116
- 2024AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulatorcited by 101
- 2024AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarioscited by 40
- 2024LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Modelscited by 37
- 2022LEVEN: A Large-Scale Chinese Legal Event Detection Datasetcited by 36
- 2019Charge-Based Prison Term Prediction with Deep Gating Networkcited by 31
- 2024Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Taskscited by 23
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- 2019Discrete Argument Representation Learning for Interactive Argument Pair Identificationcited by 6
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Citing papers per year: 2025: 3; 2026: 10.
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- 2025LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligencecited by 4
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- 2026From Knowing to Acting: Benchmarking Self-Awareness Capability of LLM Agents9 Jun 2026
- 2026Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization1 Jun 2026
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- 2026Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems23 Mar 2026
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- 2026LLM Agents in Law: Taxonomy, Applications, and Challenges8 Jan 2026
- 2025CP-Env: Evaluating Large Language Models on Clinical Pathways in a Controllable Hospital Environment11 Dec 2025
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1 more
- 2026LLM Agents in Law: Taxonomy, Applications, and Challengescited by 5
- 2026Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systemscited by 4
- 2026From Knowing to Acting: Benchmarking Self-Awareness Capability of LLM Agentscited by 2
- 2025EU-Agent-Bench: Measuring Illegal Behavior of LLM Agents Under EU Lawcited by 1
- 2026LexAgentHallu: A Hierarchical Benchmark for Profiling Hallucinations in Legal Agentscited by 0
- 2026ParaAgent: Reinforcing Parallel Acting in Open-World Tool Environmentscited by 0
- 2026ParaAgent: Reinforcing Parallel Acting in Open-World Tool Environments27 Sep 2026
- 2026LexAgentHallu: A Hierarchical Benchmark for Profiling Hallucinations in Legal Agents9 Sep 2026
- 2026From Knowing to Acting: Benchmarking Self-Awareness Capability of LLM Agents9 Jun 2026
- 2026Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems23 Mar 2026
- 2026LLM Agents in Law: Taxonomy, Applications, and Challenges8 Jan 2026
- 2025EU-Agent-Bench: Measuring Illegal Behavior of LLM Agents Under EU Law24 Oct 2025
- 2025LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligencecited by 4
- 2025CP-Env: Evaluating Large Language Models on Clinical Pathways in a Controllable Hospital Environmentcited by 4
- 2026Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalizationcited by 1
- 2026LegalWorld: A Life-Cycle Interactive Environment for Legal Agentscited by 1
- 2026TriBench-Ko: Evaluating LLM Risks in Judicial Workflowscited by 0
- 2026DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultationcited by 0
- 2026LegalWorld: A Life-Cycle Interactive Environment for Legal Agents17 Jun 2026
- 2026DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation11 Jun 2026
- 2026Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization1 Jun 2026
- 2026TriBench-Ko: Evaluating LLM Risks in Judicial Workflows5 May 2026
- 2025CP-Env: Evaluating Large Language Models on Clinical Pathways in a Controllable Hospital Environment11 Dec 2025
- 2025LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence4 Dec 2025
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