The paper advocates for LLMs to enhance the accessibility, usage and explainability of rule-based legal systems, contributing to a democratic and stakeholder-oriented view of legal technology. A methodology is developed to explore the potential use of LLMs for translating the explanations produced by rule-based systems, from high-level programming languages to natural language, allowing all users a fast, clear, and accessible interaction with such technologies. The study continues by building upon these explanations to empower laypeople with the ability to execute complex juridical tasks on their own, using a Chain of Prompts for the autonomous legal comparison of different rule-based inferences, applied to the same factual case.

翻译：本文提倡利用大语言模型增强基于规则的法律系统的可访问性、可用性与可解释性，推动面向民主和利益相关者的法律技术视角。我们开发了一种方法论，探索大语言模型在将基于规则系统生成的解释从高级编程语言转换为自然语言方面的潜在应用，使所有用户能够快速、清晰且便捷地与这类技术进行交互。研究进一步以这些解释为基础，通过自主法律比较的提示链，使非专业用户能够独立执行复杂司法任务，对同一事实案件的不同基于规则推理结果进行比对。