Practice Areas
Intellectual Property Law
Patent Litigation
Patent Prosecution & Portfolio Counseling
Post-Grant Proceedings
Data Centers and Digital Infrastructure
Artificial Intelligence & Machine Learning
Digital Media & Entertainment, Gaming & Sports
Interactive Entertainment
Immersive Technology
Music, Film & Television
Sports
Retail & Consumer Products
Career
A trusted advisor to both cutting-edge disrupters and global industry leaders, Sumedha Ahuja adopts a business-first approach and applies her technical, business, and legal experience to provide strategic and practical advice that aligns with the company’s goals.
Sumedha has hands-on engineering and scientific experience building AI/ML solutions and helps her clients secure their intellectual property in this field. Sumedha also has extensive experience in other technology areas, including telecommunications; digital health; virtual, augmented and mixed realities; wearables; edge computing; cloud computing; advertising and behavioral analysis; search and search result processing; fintech and blockchain; Internet of Things; and virtual computing.
In addition to procuring patents in these fields—both in the United States and internationally—Sumedha evaluates third-party patent portfolios; counsels clients on avoiding patent infringement; and mines client patent portfolios to identify assets for licensing/monetization, patent infringement counterclaims, and divestment. She has also represented both patent owners and petitioners before the Patent Trial and Appeal Board in post-grant proceedings.
Sumedha is recognized as a leading lawyer by numerous organizations, including Chambers USA, where clients praise her for “[understanding] the intersection of AI patenting better than anyone I have come across,” being “astonishingly perceptive in understanding AI” due to her software engineering background, and having a “really great background to support emerging technologies.” She is also named to the Intellectual Asset Management Patent 1000 list for guiding clients through risks and challenges in computer software and AI.