Improving the accessibility of EU laws: the Chat-EUR-Lex project

In this article we describe the results of an ongoing research project on the use of Chat-Based Large Language Models (Chat LLMs) and Retrieval Augmented Generation (RAG) for the access to legal repositories. We are integrating Chat LLMs and RAG to access a dataset of legal acts in English and Italian (a subset of EUR-Lex collection), and interact through a chatbot. We present the state of the art, the objectives, the use cases, the methodology used in the project, and then we discuss the preliminary results.