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Can generative AI help us speed up the authoring of tools to helpself-represented litigants?  In this paper, we describe 3 approaches to automating the completion of courtforms: a generative AI approach that uses GPT-3 to iteratively prompt the userto answer questions, a constrained template-driven approach that usesGPT-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 3experiments, together with a tool created at Suffolk University Law Schoolcalled the Assembly Line Weaver. We conclude that the hybrid model ofconstrained automated drafting with human review is best suited to the task ofauthoring guided interviews.

Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications