Towards semi-automating European legislative harmonisation analysis: Aharmonised glossary for LLM-based legal concept detection

This repository provides the resources and annotations utilized in the experiment detailed in the publication "Towards semi-automating European legislative harmonisation analysis: Aharmonised glossary for LLM-based legal concept detection"

Authors

• Davide Audrito
• Ivan Spada
• Rachele Mignone
• Emilio Sulis
• Luigi Di Caro

Abstract

Achieving legislative harmonisation within the European Union (EU) is a multifaceted challenge, hampered by various political, economic, and legal complexities. This article addresses the significant issue of non-compliance by EU member states in transposing EU laws into national frameworks, underscored by numerous infringement procedures. This work introduces a novel methodological framework that combines semantic knowledge modelling and transformer-based language models to address discrepancies in legislative harmonisation. Central to the proposed methodology is the creation of a comprehensive glossary designed to establish correspondences between European legislative concepts and their national counterparts, thus facilitating greater accuracy in legal harmonisation. By deploying Large Language Models (LLMs) for semi-automating concept detection, complemented by legal harmonisation expert's oversight, this research provides an exhaustive, explainable assessment of legislative approximation within the EU. The findings enrich the academic debate on legal harmonisation offering actionable tools designed to decrease the frequency and gravity of infringement procedures, while promoting a more unified and efficient legal framework across the Union.