For Episode 22 we headed to Washington D.C. to talk to patent attorney Kate Gaudry about how she uses big data to help clients get an edge when filing patent applications. To say Kate is bright is an understatement. She enrolled in college at 11, had a PhD by 21. . . and then she got a law degree.
Much of Kate’s data analysis focuses on allowance rates for individual patent examiners (the percentage of patents they approve) and also for the “art units” they work in. (Patent examiners are grouped into “art units” that focus on a particular technology or industry).
We also talk to Kate about how mathematical models like game theory can be used to make decisions about pursuing or abandoning patent applications.
Finally, Kate explains that before attorneys start collecting data and using technology to analyze it, they need to take a step back, look at the whole process and figure out which questions really need answered and identify the ones for which data may provide insight.
Read Kate’s bio.
Legal Tech Founder Segment: Warwick Walsh of Lawcadia
Things we talk about in this episode:
United States Patent and Trademark Office
PPAIR (Public Patent Application Information Retrieval)
Game theory and Kate’s article about game theory.
Episode Credits
Editing and Production: Grant Blackstock
Theme Music: Home Base (Instrumental Version) by TA2MI
Image above: Trap for a Mouse by Jose Trevino