Xin Shao practices patent law with a focus on patent prosecution for artificial intelligence (AI), machine learning (ML), and related complex technologies. He has extensive experience handling high-value AI/ML patents for leading tech companies driving innovation in the AI/ML space. He also conducts invalidity analysis and infringement analysis to support patent litigation and enforcement.
Xin has a strong academic background in mathematics, statistics, and machine learning. His expertise covers image processing, computer vision, natural language processing, generative models (LLMs, diffusion models), neural network architectures including deep learning (CNN, RNN) and transformers, and agentic AI systems.
Xin is passionate about legal theory development in addressing emerging issues in IP law related to AI. He is interested in providing lawyer input to legal tech innovation and workflow optimization. He also closely follows AI alignment research and policy discussions surrounding the responsible development of AI technologies.
Patent prosecution for leading audio and video technology company*
Prepared and prosecuted patent applications directed toward AI-enhanced audio processing, video codec technologies, and multimedia compression systems. (2024-2025)
Patent prosecution for research universities*
Prepared and prosecuted patent applications directed toward computational photography, imaging technologies, and AI-enabled biotechnology. (2024-2025)
Patent prosecution for Fortune Global 500 automotive technology company*
Prepared and prosecuted patent applications directed toward autonomous systems, sensor technologies, and vehicle control systems. (2024-2025)
Patent prosecution for Fortune Global 100 computer technology company*
Prepared and prosecuted patent applications directed toward AI accelerator technologies and intelligent memory architectures. (2021-2024)
Patent prosecution for Fortune 100 creative software company*
Prepared and prosecuted patent applications directed toward image generation, image processing, natural language processing, and cloud computing technologies. (2021-2024)
Admitted to Practice
- New York, 2023
- Wisconsin, 2021
- U.S. Patent and Trademark Office
Education
- J.D., University of Wisconsin Law School, 2021
- Samson Fellowship
- Moot Court Board
- M.S., Mathematics, New York University Tandon School of Engineering, 2011
- B.S., Mathematics, Anhui University, 2009
Languages
- Mandarin
Memberships & Affiliations
- American Bar Association
Background
- Associate, Michael Best & Friedrich, Washington, D.C., 2024-2025
- Associate, F. Chau & Associates, New York, 2021-2024