Press Release 01.29.25
The firm has an ace up its sleeve in Austin-based Josh Tucker, who has filed 70 blockchain patents. The software savant has also masterminded different techniques to help his clients overcome patent eligibility issues and is in high demand as a result.
Josh Tucker is a partner in the law firm’s Intellectual Property practice and splits his time between the Austin and Silicon Valley offices.
Josh helps companies protect their IP with strategic use of patent, copyright, trademark, and trade secret rights, and he defends companies from abusive use of these rights by others. He has represented five of the top 25 U.S. patent filers and specializes in artificial intelligence-related patent applications, including those relating to computer vision, natural language processing, large language models, probabilistic neural networks and robotics. The patent portfolios he helps build benefit from his extensive experience analyzing IP on behalf of investors and litigating patent disputes in Federal District Court and the ITC.
Representative Experience
- Drafted and prosecuted patents for Google to build its geolocation and computer-vision related patent portfolio.
- Drafted, prosecuted, and asserted patents for Slyce Acquisition, Inc. related to computer vision for retail.
- Drafted and prosecuted patents for Quid, Inc. related to distributional semantics and other forms of natural language processing.
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- Drafted and prosecuted patents for PlaceIQ Inc. applying machine-learning to geolocation data.
- Drafted and prosecuted patents for CA Inc. applying machine-learning to DevOps tooling.
- Drafted and prosecuted patents for Protopia AI, Inc. relating to stochastic neural networks.
- Drafted and prosecuted patents for Cerebri AI Inc. relating to AI-models used for logistics and marketing.
- Drafted and prosecuted patents for AI Inc. relating to VSLAM and robotic path planning.
- Drafted and prosecuted patents for Giant.AI relating to humanoid robots.
- Drafted and prosecuted patents for Vapor.io Inc. relating to machine-learning for workload allocation in edge-computing.
- Defended Rigetti Computing against two inter partes reviews (IPRs) brought against one of its foundational patents by IBM, with the PTAB determining not to institute the IPR proceeding based upon the Patent Owner Statement, which highlighted fundamental inconsistencies in IBM’s assertions.
- Helping a well-funded Austin startup in the cybersecurity industry obtain blockchain patents to utilize blockchain technology to build a platform for greater data security.
- Led team that provided comprehensive industry intelligence, technology analysis, and IP risk assessment for client considering deploying blockchain or distributed ledger technology.
- Developed the patent strategy for two startups that attained billion-dollar valuations in public or private markets.
- Represented a major graphics chip maker in patent disputes relating to memory access techniques in gaming consoles.
- Represents software-focused companies protecting new game mechanics, novel UI design, and battery-friendly, low-latency mobile applications.
- Drafted and prosecuted patent applications for one of the larger DRAM manufacturers.
Professional Highlights
- Recognized by IAM Patent 1000 for Patent Prosecution in Texas (2019 – 2024) and is described as a “superstar in the blockchain field” (2020 – 2021)
- The Legal 500 U.S., Patents - Portfolio Management and Licensing (2016), Patents - Prosecution (2016, 2019)
- Member, Advisory Committee on Artificial Intelligence and the Courts
Education
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J.D., The University of Texas School of Law, 2004
honorsB.S., Mechanical Engineering, Texas A&M University, 1998
Admissions
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Texas
U.S. Patent and Trademark Office
Courts
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U.S. District Court for the Eastern District of Texas