Have your DAI in Court. The Role of Suggestive Algorithms in Judicial Decision-Making

Abstract

This paper examines the use of suggestive algorithms in judicial decision-making, distinguishing them from predictive and decisional models. Designed to recommend legal outcomes through the analysis of large datasets, these tools present key challenges related to data selection, bias mitigation, and compliance with the EU AI Act. Beyond their supportive function, the study considers their potential normative impact, questioning whether consistent algorithmic recommendations could influence legal doctrine. It also highlights issues of transparency, data privacy, and sovereignty - particularly when private entities are involved in system development. The paper contributes to ongoing debates on AI in law, emphasizing both the promise of greater efficiency and the need to safeguard fairness and accountability in the justice system.