NAPP Webinar:
T
he Hitchhiker’s Guide to Data-Driven Patent Practice and Resources
with David Stein

May 19, 2021
3:00 - 4:00 P.M ET

Click Here to Register


The profession of patent law is becoming increasingly driven by data and statistics. Analytics services, like Juristat, offer profiles of patent examiners for use by patent practitioners - as well as profiles of law firms and patent practitioners, which applicants are using to make hiring and retention decisions of patent counsel.  

Also, the USPTO holds an enormous amount of valuable data about patents, patent applications, prosecution histories, and office actions. In addition to traditional user-oriented interfaces such as PAIR, the USPTO now provides access to this data via bulk downloads and application programming interfaces (APIs). However, many practitioners are unaware of the existence of these data sources, and persistent challenges with the quality and accessibility of the data may limit their use.

During this presentation, David will provide an overview of the existing patent analytics services and USPTO data sources. David will also discuss and demonstrate some uses of these resources to facilitate day-to-day patent practice and to develop a deeper understanding of the USPTO and the patent field.


David Stein has been engaged in patent preparation, prosecution, and portfolio management since 2007, during which David has represented industry-leading international and domestic companies, startup ventures, and individuals in the fields of software, computer, and electronics. David graduated from Case Western Reserve School of Law in 2002 and is licensed to practice before the U.S. Patent & Trademark Office and in the State of Ohio.

David’s technical background includes an M.S. in Computer Science, a B.S. in Electrical Engineering, and a B.S. in Biology. David practices in the full spectrum of computing technologies, as well as computational life sciences. Currently, David focuses on Artificial Intelligence and Machine Learning, including graduate-level classes and Coursera professional certificates from Google and DeepLearning.AI.