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As you don’t have any doubt heard, patent pendency on the United States Patent and Trademark Office (USPTO) is an issue. As of January, the variety of unexamined functions reached a staggering and historic excessive, with 837,928 functions unexamined and almost 1.2 million functions pending total. As of August, the USPTO has been in a position to scale back the variety of unexamined functions to 800,559, which is a superb enchancment, however a lot work stays to be carried out.
USPTO pendency isn’t only a back-end prosecution drawback—it begins on the very first touchpoints of the innovation course of. Small, AI-assisted adjustments to invention seize, prior-art triage, and declare technique may help, and have gotten a necessity because the USPTO continues to implement AI options themselves.
Join us on October 7 at 12 PM ET for a dialog about how efficient use of AI instruments can scale back Office actions, keep away from §101/§102/§103/§112 pitfalls, and speed up submitting paths. In this session, we are going to unpack a sensible, front-end playbook that makes use of AI to lift disclosure high quality, floor claims in the appropriate artwork from day one, and scale back workplace motion churn, which is able to result in not solely quicker patents however patents of higher high quality. Moderated by Gene Quinn (IPWatchdog), panelists will likely be Richard Cahoon (Cornell University), Robert Bahr (former Deputy Commissioner for Patents), and Jim Durkin (IP.com).
This panel will talk about:
This web page was created programmatically, to learn the article in its authentic location you may go to the hyperlink bellow:
https://ipwatchdog.com/event/webinar-ip-com-2025-10-07-cutting-uspto-pendency-at-the-source/
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This web page was created programmatically, to learn the article in its authentic location you…
This web page was created programmatically, to learn the article in its unique location you…
This web page was created programmatically, to learn the article in its unique location you…
This web page was created programmatically, to learn the article in its authentic location you…
This web page was created programmatically, to learn the article in its unique location you…
This web page was created programmatically, to learn the article in its authentic location you'll…