Abstract

The rapid integration of Artificial Intelligence (AI) into the legal domain has transformed legal research, case prediction, contract automation, and dispute resolution. However, the increasing reliance on AI raises significant regulatory, ethical, and jurisdictional challenges, including algorithmic bias, transparency, and accountability. This paper provides a global perspective on the regulation of AI in the legal sector, highlighting the current applications and potential risks associated with unregulated AI deployment. A comparative analysis of regulatory approaches across regions, such as the United States sectoral framework, the European Union’s GDPR and proposed AI Act and Asia-Pacific's evolving policies demonstrates diverse priorities in balancing innovation and safeguards. Case studies on AI-driven legal tools and predictive justice underscore the potential for AI to enhance efficiency while emphasizing the need for oversight. The paper advocates for the establishment of robust ethical guidelines, transparent algorithms, and international cooperation to harmonize regulations. By addressing these challenges, legal systems worldwide can ensure fairness, accountability, and public trust in AI technologies. Ultimately, this research underscores the critical role of regulation in fostering responsible AI innovation in the legal domain.

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