I have spent most of my professional career talking to patent practitioners about AI. For years, the conversation was about whether AI could be trusted, whether it was ready, and whether it would actually change how patent work gets done. I have watched the profession move from skepticism to curiosity to cautious adoption to – in 2026, for the first time – something that feels like acceptance. Questions that once provoked heated debate at conferences now feel almost trite. Nobody is really questioning whether AI has a place in patent practice anymore. The question that has replaced it is harder and more consequential:
From a trickle just a few years ago, AI use in the patent profession has become a rushing torrent. AI tools, features, and applications are now an integral and sometimes invisible part of patent practice. From invention harvesting and prior art searching to drafting, filing, opinion work, litigation, and licensing, the savvy patent practitioner almost certainly has AI embedded somewhere in their workflow.