Big Data & Data Analysis

Episode 22: Kate Gaudry On Lawyers (Really) Using “Big Data” to get an Edge for Clients

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

In this episode we also talk to Lawcadia founder Warwick Walsh. The Lawcadia platform is an end-to-end matter and spend management system built specifically for in-house legal teams. It allows in-house legal operations to track legal matters from RFP to conclusion and collaborate with their outside counsel on their engagements.
 
Learn more about Warwick.
 
 

Things we talk about in this episode:

Computational Neurobiology

Big Data

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

 

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