Greg Rabin is a senior patent attorney at Young Basile. Greg’s practice is focused on patent drafting and prosecution in the computer science and software fields. Greg holds a J.D. from the University of Michigan Law School, dual Bachelor’s Degrees in Computer Science and Mathematics from MIT, and a Master’s Degree in Computer Science from MIT. He explains, “I chose to study computer science and math because I enjoy solving challenging problems and logical puzzles. I am passionate about technological innovation and learning about new ideas.”
Greg has extensively written and spoken about patenting artificial intelligence inventions. Greg is the lead author and editor in chief of Bloomberg BNA’s electronic book about patenting artificial intelligence inventions: “Artificial Intelligence and Machine Learning – Protecting the Next Ubiquitous Technology.” (Published in 2020.) The book covers considerations when patenting artificial intelligence technology in the United States and abroad, and legal issues with technologies that are conceived or reduced to practice using artificial intelligence. Greg decided to write this electronic book because he saw a need, among his clients and others in the patent industry, for clear and concise explanations of the benefits and issues involved in patenting artificial intelligence technologies. Greg has spoken about patenting artificial intelligence (AI) inventions before the American Intellectual Property Law Association (AIPLA), the United States Patent & Trademark Office (USPTO), and several continuing legal education (CLE) providers. Specifically, Greg has discussed strategies for overcoming Patent Office rejections for AI inventions, and strategies for patenting AI inventions for companies outside the software industry at various AIPLA events. In addition to artificial intelligence, Greg has also drafted and prosecuted patents related to telecommunications software, operating systems, cryptography, security systems, control systems, and robotics. He excels at describing complex technologies in a clear manner.
Greg has drafted and prosecuted multiple patent applications, which have issued in the United States and abroad. He has worked with European, Chinese, Japanese, Korean, Taiwanese, Indian, Canadian, and Australian counsel to prepare and prosecute foreign patent applications for his clients. Greg conducts “patent mining” sessions with clients, where he visits the client’s office, meets with inventors and in-house counsel, and identifies inventions for potential patenting (or coverage as a trade secret). Greg is very communicative and believes in keeping clients abreast of what is happening with the patent applications that are entrusted to him. Greg frequently leverages Patent Attorney-Examiner Interviews, and tries to conduct an interview before submitting a response to a US Patent Office Action. Furthermore, he regularly takes advantage of the Patent Office’s After Final Consideration Pilot (AFCP) program to interview Examiners in order to figure out how to potentially bring the patent application to allowance or advance patent prosecution.
One of Greg’s favorite aspects of his job is meeting and working with inventors. He describes, “I enjoy learning about how inventors leverage their talent stacks to come up with their creations. It proves to me that the human brain really is a whole that is greater than the sum of its parts.” Greg is also the named inventor on seven patents related to image processing.
- U.S. Patent No. 10,715,793 Two dimensional to three dimensional moving image converter
- U.S. Patent No. 10,549,197 Interactive system and method
- U.S. Patent No. 10,092,843 Interactive system and method
- U.S. Patent No. 10,015,478 Two dimensional to three dimensional moving image converter
- U.S. Patent No. 9,795,882 Interactive system and method
- U.S. Patent No. 9,132,352 Interactive system and method for rendering an object
- U.S. Patent No. 9,053,562 Two dimensional to three dimensional moving image converter
- Bloomberg BNA, Artificial Intelligence and Machine Learning – Protecting the Next Ubiquitous Technology (2020)
- AIPLA Innovate, “Patenting Machine Learning Inventions for Companies Outside the Software Industry” (2019)
- National Law Review, “EPO Provides Patentability Guidance for AI-based Applications” (2018)
- English (fluent)
- Russian (fluent)