2023/11/20 by Marco Billi, Alessandro Parenti, Billi, Marco +5
Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Comparative and International Law Studies #FOS: Computer and information sciences #Legal Education and Practice Innovations
paper · pdf · doi:10.48550/arxiv.2311.11811
openalex publication_date 2023/11/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
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.