How well can large language model agents simulate complex legal dispute resolution?
Abstract Legal dispute resolution hinges on the weighing of evidence and arguments across parties, yet human biases and bounded rationality can influence outcomes. Simulating this process with large language models can clarify both the capabilities and the anthropomorphic behavior. Most existing studies focus on algorithmic support for adjudication, such as online courts, risk assessment, and sentencing tools. At the same time, the role of AI agents in mediation and conciliatory negotiation rema
