Governing Artificial Intelligence in Legal and Professional Education: Legal, Ethical, and Institutional Challenges of AI-Driven EdTech

Abstract

The rapid advancement of Artificial Intelligence (AI) and Educational Technology (EdTech) is fundamentally transforming legal and professional education worldwide. Traditional pedagogical models, systems of assessment, and institutional governance frameworks are being reshaped by AI-driven learning platforms, automated assessment systems, virtual simulations, and analytics. While these innovations have the potential to enhance efficiency, personalization, and access, they simultaneously raise complex legal, ethical, and managerial challenges associated with data privacy, algorithmic bias, academic integrity, and insufficient governance. Recent systematic reviews underscore the need for responsible governance mechanisms that prioritize transparency, fairness, and stakeholder inclusion in education (Smith & Lim, 2025; Qouzah et al., 2025). Drawing on interdisciplinary research and comparative policy analyses, this study examines the intersection of AI, education law, and institutional management, identifying gaps in existing frameworks and proposing a comprehensive normative governance model grounded in accountability and ethical principles. The findings aim to inform regulators, educational leaders, and policymakers seeking to integrate AI and EdTech responsibly into legal and professional education, thereby contributing to sustainable and equitable educational reform.

Keywords: Artificial Intelligence; Educational Technology; Legal Education; Academic Integrity; AI Governance; Educational Policy; Ethical AI; Institutional Management; Algorithmic Bias