Artificial Intelligence and Intellectual Property Law: A Study of Globally Shared Legal Information Retrieval Ecosystem of Multinational Corporations

Abstract This research investigates the incorporation of Artificial Intelligence (AI) within the intellectual property (IP) management frameworks of multinational corporations (MNCs) operating in Saudi Arabia. The primary emphasis is placed on the establishment of a globally harmonised legal information retrieval ecosystem within the Kingdom. Presently, MNCs in Saudi Arabia are progressively adopting AI-driven solutions to optimise IP protection, a trend driven by the growing complexity of digital infrastructures and the transnational nature of corporate activities. To address this subject, the study adopts a qualitative methodology combined with a normative juridical perspective, grounded in an interpretivist epistemology. The results underscore a range of critical challenges associated with AI integration into IP systems. Chief among these are concerns regarding data confidentiality, the legitimacy of authorship, and the legal status of AI-generated content. Additionally, the dynamic evolution of the Saudi legal framework reflects a broader international imperative for regulatory transformation in this domain. While AI contributes significantly to enhanced operational efficiency and facilitates international alignment in IP management practices, it also introduces a host of complex technological, ethical, and data-related risks. Notably, concerns surrounding algorithmic transparency, the compatibility of data systems, and unresolved legal questions related to AI-generated IP emerge as pivotal issues for decision-makers and legal practitioners. The research provides substantive recommendations for the responsible and ethically grounded integration of AI into global legal regimes governing IP and innovation governance.