In the latest episode of DeepIP’s podcast IP Innovators, host Steve Brachmann interviewed KellDann’s Scott Kelly regarding his experience in patent law (including his work as a patent examiner and the founding of KellDann), AI-drafted patents, and the issue of so-called “AI Slop.” The podcast episode is available through the embedded Spotify player below and on DeepIP’s website.
DeepIP’s summary of the podcast:
In this episode of IP Innovators, host Steve Brachmann sits down with Scott Kelly, Founding Partner and Head of Practice at KellDann, to explore what happens when a patent attorney decides that “good enough” AI-drafted patents aren’t good enough. Drawing on nearly 17 years in the field, including three years as a USPTO examiner and 13 years at Banner Witcoff, Scott brings a practitioner’s skepticism to the AI boom reshaping his industry.
Scott walks through the founding story of KellDann, a firm he built from scratch with longtime mentor Ross Dannenberg specifically to be AI-forward from day one, and why that’s proven more nimble than retrofitting AI onto an existing practice.But the real thread of the conversation is what he calls “AI slop”: the flood of thin, LLM-generated patent applications he expects to flood the system, and why he thinks a lot of them will be vulnerable to abstract idea and written description attacks down the road.
His AI approach is to spend the time up front, often over an hour on a single disclosure call, building the roadmap himself before handing anything to the AI to execute.
About DeepIP
DeepIP is a patent intelligence vendor that, among other things, provides a secure, end-to-end AI platform for ideation, prior art searches, patent drafting, patent prosecution, and risk assessment.