Artificial intelligence is beginning to influence how legal decisions are made, raising fundamental questions about judicial reasoning in an era of generative models. This research area examines how AI systems interpret legal rules, weigh equitable considerations, respond to precedents, and construct legal reasoning in cases involving ambiguity or discretion. By comparing the decisions of AI models with those of judges, legal professionals, and laypersons, it seeks to understand the emerging dynamics of algorithmic adjudication and its implications for the rule of law.

The work focuses on evaluating the quality of AI-generated legal decisions—assessing their accuracy, consistency, bias, sensitivity to prompt formulation, and the persuasiveness and fairness of their reasoning. It also explores institutional and societal implications, including public perceptions of legitimacy, the appropriate role of human oversight, and the limits of automation in courts and dispute-resolution systems.

Through empirical studies and normative analysis, this research area aims to develop a clear, evidence-based framework for the responsible integration of AI into judicial and quasi-judicial processes, ensuring that technological innovation aligns with core legal values of justice, transparency, and procedural fairness.