mlsanityData to 7 Oct 2026

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents

arXiv 2408.08089 ↗First posted 15 Aug 2024cs.CL cs.AIcited by 36

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

Current research in LLM-based simulation systems lacks comprehensive solutions for modeling real-world court proceedings, while existing legal language models struggle with dynamic courtroom interactions. We present AgentCourt, a comprehensive legal simulation framework that addresses these challenges through adversarial evolution of LLM-based agents. Our AgentCourt introduces a new adversarial evolutionary approach for agents called AdvEvol, which performs dynamic knowledge learning and evolution through structured adversarial interactions in a simulated courtroom program, breaking the limitations of the traditional reliance on static knowledge bases or manual annotations. By simulating 1,000 civil cases, we construct an evolving knowledge base that enhances the agents' legal reasoning abilities. The evolved lawyer agents demonstrated outstanding performance on our newly introduced CourtBench benchmark, achieving a 12.1% improvement in performance compared to the original lawyer agents. Evaluations by professional lawyers confirm the effectiveness of our approach across three critical dimensions: cognitive agility, professional knowledge, and logical rigor. Beyond outperforming specialized legal models in interactive reasoning tasks, our findings emphasize the importance of adversarial learning in legal AI and suggest promising directions for extending simulation-based legal reasoning to broader judicial and regulatory contexts. The project's code is available at: https://github.com/relic-yuexi/AgentCourt

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 13 of its 24 references that are in the map. First posted on arXiv 15 Aug 2024.

Builds on

13 of 24 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture28 Jun
  2. 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr
  3. 2023Blind Judgement: Agent-Based Supreme Court Modelling With GPT12 Jan

Other references · 10

  1. 2023Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agentscited by 329
  2. 2024Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agentscited by 210
  3. 2023Large Language Models in Law: A Surveycited by 128
  4. 2023DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Servicescited by 117
  5. 2023Agent Lumos: Unified and Modular Training for Open-Source Language Agentscited by 72
  6. 2023Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorldcited by 65
  7. 2023Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaborationcited by 52
  8. 2023Self-Adaptive Large Language Model (LLM)-Based Multiagent Systemscited by 31
  9. 2023Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for Autonomous LLM-powered Multi-Agent Architecturescited by 25
  10. 2023From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systemscited by 17

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 14; 2026: 19.

36 papers.

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By area:

  1. 2025Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systemscited by 125
  2. 2025LLM Agents for Education: Advances and Applicationscited by 59
  3. 2024A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Applicationcited by 54
  4. 2026A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agentscited by 47
  5. 2025LLM-based Human Simulations Have Not Yet Been Reliablecited by 30
  6. 2025Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agentscited by 22
  7. 2024VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulationcited by 18
  8. 2024AutoPatent: A Multi-Agent Framework for Automatic Patent Generationcited by 16
  9. 2025Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancycited by 15
  10. 2026Multimodal Multi-Agent Empowered Legal Judgment Predictioncited by 14
  11. 2025Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environmentscited by 13
  12. 2025Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crewscited by 12
24 more
  1. 2025Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Studycited by 8
  2. 2025Chinese Court Simulation with LLM-Based Agent Systemcited by 7
  3. 2025XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaborationcited by 6
  4. 2026LLM Agents in Law: Taxonomy, Applications, and Challengescited by 5
  5. 2025Towards Trustworthy Legal AI through LLM Agents and Formal Reasoningcited by 4
  6. 2026Adaptive Collaboration of Arena-Based Argumentative LLMs for Explainable and Contestable Legal Reasoningcited by 4
  7. 2026Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verificationcited by 4
  8. 2025ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Frameworkcited by 3
  9. 2025Addressing the alignment problem in transportation policy making: an LLM approachcited by 3
  10. 2026LinguaGame: A Linguistically Grounded Game-Theoretic Paradigm for Multi-Agent Dialogue Generationcited by 1
  11. 2026Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directionscited by 1
  12. 2026Enforcing Monotonic Progress in Legal Cross-Examination: Preventing Long-Horizon Stagnation in LLM-Based Inquirycited by 1
  13. 2026CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes Verdictcited by 1
  14. 2025PL-CA: A Parametric Legal Case Augmentation Frameworkcited by 0
  15. 2026AI-Assisted Moot Courts: Simulating Justice-Specific Questioning in Oral Argumentscited by 0
  16. 2026TriBench-Ko: Evaluating LLM Risks in Judicial Workflowscited by 0
  17. 2026Which Changes Matter? Towards Trustworthy Legal AI via Relevance-Sensitive Evaluation and Solver-Grounded Reasoningcited by 0
  18. 2026GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisationcited by 0
  19. 2026LegalWorld: A Life-Cycle Interactive Environment for Legal Agentscited by 0
  20. 2026Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Resultcited by 0
  21. 2026OBJECTION! Lawyer Agents Mitigate Guilty Bias in Legal Judgment Predictioncited by 0
  22. 2026When Does Defendant Statement Matter? A Study of Bias and Persuasion in LLM-Simulated Jurorscited by 0
  23. 2026LabourCrew: A Multi-Agent RAG Framework for Trustworthy Adversarial Deliberation and Statutory Reasoning over Labour Lawcited by 0
  24. 2026JusticeAxis: Benchmarking Legal Judgment between Rigid Rule Application and Ungrounded Discretioncited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025LegalSim: Multi-Agent Simulation of Legal Systems for Discovering Procedural Exploits
  2. 2024AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
  3. 2026LRAS: Advanced Legal Reasoning with Agentic Search
  4. 2026Strategic Persuasion with Trait-Conditioned Multi-Agent Systems for Iterative Legal Argumentation
  5. 2026Investigating Multi-Agent Deliberation in Law
  6. 2025LegalDelta: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain
  7. 2025ReGal: A First Look at PPO-based Legal AI for Judgment Prediction and Summarization in India
  8. 2026Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning