UNVEILING TRENDS IN ARTIFICIAL INTELLIGENCE FOR INTELLECTUAL PROPERTY MANAGEMENT: INSIGHTS FROM PATENT DATA ANALYSIS

Abstract

This paper investigates the growing intersection of artificial intelligence (AI) and intellectual property (IP) management through an analysis of global patent data from 2014 to 2023. While AI’s role in various industries has expanded significantly, research on its application in IP management remains limited. To bridge this gap, this study examines trends in AI-related patent applications specific to IP management. From 2014 to 2021, overall AI patent applications grew nearly eightfold, while AI patents specifically targeting IP management increased sixfold between 2014 and 2019. This research highlights key technological advancements and provides a comprehensive overview of geographical patent filing strategies adopted by leading patent assignees. For instance, IBM, Obeebo Labs Ltd., and Black Hills IP Holdings LLC concentrate their patent filings predominantly on the U.S. market, whereas other entities pursue a more international strategy. Notably, AON Risk Services Inc. holds the largest number of patent families, primarily focusing on IP data and document analysis, and IP landscaping. Entities such as IPwe Inc., Clarivate plc (via Camelot UK Bidco Limited), Strong Force TX Portfolio 2018 LLC, Specifio Inc., Arctic Alliance Limited, and Black Hills IP Holdings LLC demonstrate specialized applications of AI in IP management tools, valuation, transactions, and automation. These findings reveal the competitive landscape, collaboration opportunities, and strategic priorities in this evolving field, providing insights for innovators, IP professionals, policymakers, and investors navigating AI’s impact on IP management.