Notes from the IP Counsel Cafe Silicon Valley Meeting on what AI is actually doing for in-house IP teams: real efficiency, fragmented workflows, and the growing gap between client expectations and firm reality.

The USPTO is not the same office it was two years ago. Since January 2025, shifts in leadership, policy emphasis, and internal guidance have changed how applications are examined and how prosecution outcomes are determined. Some of these changes have generated significant attention in the patent community, while others have been more subtle. All of them have real consequences for practitioners and applicants trying to build and protect patent portfolios today.

AI is great for patent prosecution, but it often creates new problems. When your model runs on weak data, the output may require multiple rounds of manual review and cleanup. Grounding AI in trusted USPTO data can turn your existing tools into a more useful teammate.

If there was one overarching theme throughout the conference, it was this: AI is here, and we need to figure out how to use it responsibly. 

2025 didn’t just add new wrinkles to prosecution and post-grant practice. It pushed patent teams into a different operating model. More cost pressure. More automation. More scrutiny on outcomes.

While attending IP Counsel Cafe’s Fall Meeting in New York, I kept hearing the same thing in every hallway and panel: leadership wants ROI.

For patent counsel, strategists, and attorneys, the potential risks and rewards of AI implementation are uniquely high. A generic chatbot trained on the open web simply isn’t enough.

Walk into any intellectual property conference in 2025, and you’ll hear one topic echoing across sessions and expo halls: artificial intelligence. 

Couldn’t make it to IP Counsel Cafe? We’ve got the recap.  

For patent professionals, the challenge remains: How do you move prosecution forward amid the USPTO Backlog?