Examiners at the U.S. Patent and Trademark Office (USPTO) have 16-32 hours to study new patent applications, including comparing them to more than 100 million other applications and already approved patents, and countless non-patent prior art sources. It’s imperative that their findings are accurate. Approving a proposal for something that’s already been patented can enable spurious legal actions that hamper innovation, and expose a company’s core intellectual property to invalidation. More broadly, it can hurt the economy by making a patent’s quality less certain. To make examiners more thorough, the agency has turned to Artificial Intelligence (AI).
Download this whitepaper to learn now machine learning helps USPTO process patent applications faster and more accurately with new tools for document retrieval, ranking and review.
Sponsored by Carahsoft, Google Cloud, Accenture