Abstract
Abstract
The procedures of patent search, inspection, and management have been totally
revolutionized by artificial intelligence (AI), which has improved efficiency, accuracy, and
strategic decision-making. Artificial intelligence (AI)-powered patent analytics solutions,
such as Patlytics, employ advanced machine learning algorithms and natural language
processing (NLP) to streamline complex procedures including infringement spotting, patent
drafting, prior art discovery, and whitespace analysis. Such characteristics enhance the
accuracy of patentability and intellectual property risk evaluations and expedite the patent
prosecution process. In order to solve persistent issues in patent procedures, such as lowering
examiner workload, minimizing human mistake, and enhancing prior art detection, this study
investigates the possible advantages of AI-powered patent analytics tools. Furthermore, by
facilitating real-time monitoring of technical developments and competitive landscapes, it
assesses how AI may provide strategic insights for businesses, researchers, and patent
specialists. The study also looks at the ethical and legal ramifications of incorporating AI into
patent procedures, with a focus on data privacy, algorithmic transparency, and adherence to
international intellectual property laws. By analysing the revolutionary implications of
artificial intelligence (AI) on patent analytics, this article aims to provide a comprehensive
understanding of the benefits of AI for companies, patent offices, and legal experts. Assuring
security and regulatory compliance in patent examination and prosecution, the findings show
how AI-powered patent analytics foster innovation and strengthen the IP ecosystem.