用智能流程处理法律合同，精准计算终止日期，效率远超普通模型。
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts
- 设计模块化流程，调用专业工具与文本代理协同工作。
- 处理复杂任务时准确率比基线高92.9个百分点，尤其擅长计算终止日。
- 无需训练模型，用可复用工具降低成本，适合法律从业者使用。
托管与基金服务领域的法律合同涉及关键提供方责任、费用安排和赔偿权利等核心内容。然而，通用大语言模型因文本过长、上下文窗口有限及法律术语复杂，难以有效处理此类合同。为此，我们提出LAW（Legal Agentic Workflows for Custody and Fund Services Contracts），采用模块化设计，通过调度一系列领域专用工具与文本代理来响应用户查询。实验表明，LAW通过集成多个专业化代理与工具，显著优于基线模型，在计算合同终止日期等复杂任务上提升92.9个百分点。此外，LAW提供一种成本更低的替代方案，无需传统微调法律大模型，仅依赖可复用的领域工具。
原文摘要 · Abstract (English)
Legal contracts in the custody and fund services domain govern critical aspects such as key provider responsibilities, fee schedules, and indemnification rights. However, it is challenging for an off-the-shelf Large Language Model (LLM) to ingest these contracts due to the lengthy unstructured streams of text, limited LLM context windows, and complex legal jargon. To address these challenges, we introduce LAW (Legal Agentic Workflows for Custody and Fund Services Contracts). LAW features a modular design that responds to user queries by orchestrating a suite of domain-specific tools and text agents. Our experiments demonstrate that LAW, by integrating multiple specialized agents and tools, significantly outperforms the baseline. LAW excels particularly in complex tasks such as calculating a contract's termination date, surpassing the baseline by 92.9% points. Furthermore, LAW offers a cost-effective alternative to traditional fine-tuned legal LLMs by leveraging reusable, domain-specific tools.
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