Work

ALEXChat: a Generative - Symbolic Approach to Legal eXplainability

Year: 2025

Type: conference-paper

Abstract: This paper introduces ALEXChat, a hybrid generative-symbolic chatbot designed to enhance the accessibility and explainability of legal expert systems. It integrates symbolic reasoning with large language models (LLMs) to bridge the gap between complex legal reasoning and user comprehension. ALEXChat combines the extraction of legally relevant facts from scenarios, rule-based prolog reasoning and an argumentation framework for conformity assessment, with the linguistic power of LLMs for accessible user fruition.

DOI: 10.1145/3769126.3769234

Authors: Marco Billi, Alessandro Parenti, Giuseppe Pisano, Marco Sanchi

Institution: University of Bologna

Language: English

Topic: Artificial Intelligence in Law

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: gold

Funders: European Commission, H2020 European Research Council

Awards: G3726402898, Computable Law