Abstract:

The rapid integration of artificial intelligence (AI) into legal education has disrupted traditional understandings of student performance, academic integrity, and the very notion of “excellence” in assessment. In South African law faculties and globally, students are increasingly encouraged, even expected, to engage with AI tools for legal research, drafting, and problem-solving. This shift raises a critical question: how should excellence be conceptualised and measured when students’ outputs are no longer produced solely through individual cognition but through collaborative human–AI interaction? This paper interrogates the evolving meaning of excellence in legal assessment in an era of generative AI, examining how competence, originality, critical reasoning, and professional identity are reshaped. Using a qualitative desktop methodology, the study synthesises existing literature on AI in higher education, legal-skills pedagogy, assessment theory, and regulatory guidance from universities and professional bodies. It explores theoretical debates on authorship, authenticity, and epistemic agency, and evaluates emerging assessment models that incorporate AI literacy, verification, and reflective justification. The paper argues that legal education must recalibrate its assessment frameworks to reward higher-order skills, such as evaluation, synthesis, ethical reasoning, and contextual judgment, rather than penalising AI use. Ultimately, it proposes principles for redefining and measuring excellence in law assessments that recognise AI as an integral tool of modern legal practice while safeguarding rigor, fairness, and transformative pedagogical goals.

Keywords:

Legal education, Assessment Excellence, Artificial intelligence (AI), Generative AI, Academic integrity, Legal skills development, Curriculum Design.