IP Dispute Resolution in the Digital Age: An Analysis of WIPO's UDRP Mechanisms and AI Integration

The use of AI in intellectual property (IP) dispute resolution particularly in the framework of the World Intellectual Property Organization (WIPO) is a paradigm shift as far as efficiency and effectiveness of the domain name dispute resolution under the Uniform Domain Name Dispute Resolution Policy (UDRP) are concerned. The role of WIPO as a significant source of institutional ADR mechanisms is discussed in terms of its Arbitration and Mediation Centre and its functions and performance of cases administration procedures. The study highlights the procedural issues of the UDRP that enable owners of trademarks to challenge the bad faith domain name registrations and evaluates the success of the policy in delivering cost-effective and speedy decisions as compared to protracted litigation. The study explores the already existing implementations of the AI, including the case prediction systems within the scope of machine learning (e.g., SCALE and BERT models), and the applications of automated legal reasoning that are aimed at making the process of decision-making more efficient. Through comparative analysis of the AI-assisted and traditional proceedings of UDRP, the research identifies some of its greatest advantages, such as the acceleration of the cases processing, the elevated stability in decision-making, and the possibility to identify patterns in the cybersquatting cases.