Art of Possible with AI/Generative AI in Patent Search

Abstract

Intellectual property (IP) is important from the perspective of fostering innovation, protecting inventions, and driving economic growth. IP Management process has undergone phenomenal development over years with an improved efficiency, effectiveness, governance and transparency.  Novelty search plays a vital role in the process and continues to be on the critical path taking the majority of the time in the IP Management Process. Hence businesses are considering proactive management of IP especially novelty or originality search phase for securing competitive advantage.

Advancement in technology over years especially during and post pandemic period demands protecting innovations and their ownership to retain competitive edge and promote continuous development. The overall patent search process today faces numerous challenges across data availability, technology adoption, governance and political aspects.

Artificial Intelligence (AI) is contributing to technological development across various industries, driving transformation and radical changes which contribute to modernization initiatives. The adoption of Artificial Intelligence (AI) and Generative AI (GenAI) in the intellectual property (IP) domain presents numerous opportunities to enhance efficiency, accuracy, and strategic decision-making.

Patent management software are tools and platforms designed to help various personas across patent life cycle. Patent search software in particular designed to help individuals and organizations in search, retrieve, and analyze information related to patents. While AI/GenAI has a potential to contribute across life cycle, it is pertinent to prioritize adoption opportunities considering the impact areas such efficiency, accuracy or any other benefit. The integration of AI/GenAI into patent search software enhances the overall user experience, increases the accuracy of search results, and enables more sophisticated analysis of patent landscapes.

This paper appreciates the importance and complexities of IP search process, technology advancement especially with AI/GenAI technologies in focus along with deliberating possible opportunities for implementation within IP management life cycle.