Michael McCarty is an associate in the Intellectual Property Practice Group in the Dallas – North office of Haynes and Boone, LLP. His practice focuses on preparing and prosecuting patents covering a wide variety of complex technologies, including artificial intelligence and cellular communications, as well as a range of other electrical and software-enabled technologies.
Michael's experience in artificial intelligence/deep learning/machine learning includes extensive experience in drafting and prosecuting patents with complex machine learning algorithms. His experience includes working with various algorithms such as image processing, natural language processing (NLP), time-series data algorithms, transformer models, generative adversarial networks (GANs), diffusion models, reinforcement learning models, and variational auto-encoders (VAEs), among others.
Prior to his legal career, Michael worked at engineering firms specializing in embedded electronics design. There, he designed systems with processors and FPGAs for mass spectrometer systems, in addition to general-purpose industrial controllers. His expertise also includes software and FPGA programming tasks in support of hardware designs.
- "The Supreme Court Leaves Patent Eligibility in Flux," co-author, The Patent Lawyer, July 4, 2023.
B.S., Electrical Engineering, Brigham Young University, 2010
J.D., Duke University School of Law, 2020
U.S. Patent and Trademark Office
David McCombs, Eugene Goryunov, Dina Blikshteyn, Michael McCarty and Nora Titus authored an article in The Patent Lawyer about the uncertain state of patent eligibility after the U.S. Supreme Court declined to hear three cases on the matter. Read an excerpt below: In May 2023, the US Supreme Court declined to hear three cases concerning patent eligibility: Interactive Wearables LLC v. Polar Electr [...]