Can generative AI help us speed up the authoring of tools to help self-represented litigants? In this paper, we describe 3 approaches to automating the completion of court forms: a generative AI approach that uses GPT-3 to iteratively prompt the user to answer questions, a constrained template-driven approach that uses GPT-4-turbo to generate a draft of questions that are subject to human review, and a hybrid method. We use the open source Docassemble platform in all 3 experiments, together with a tool created at Suffolk University Law School called the Assembly Line Weaver. We conclude that the hybrid model of constrained automated drafting with human review is best suited to the task of authoring guided interviews.

翻译：生成式人工智能能否帮助我们加快为无律师代理的诉讼人编写工具的速度？本文描述了三种自动化填写法院表格的方法：一种使用GPT-3迭代提示用户回答问题的生成式人工智能方法，一种使用GPT-4-turbo生成需人工审核的问题草稿的约束模板驱动方法，以及一种混合方法。我们在所有三项实验中均使用开源Docassemble平台，并辅以萨福克大学法学院开发的"装配线编织器"工具。我们得出结论：约束性自动起草与人工审查相结合的混合模式最适合指导式访谈的编写任务。