Dinnatia Doster-Greene

Lead AI of Counsel

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Dinnatia is a  patent attorney, bringing over 35 years of experience to the patent field, spanning diverse industries and technological domains, from startups to multinational corporations. As a registered patent attorney, former U.S. Patent Examiner, and former adjunct professor, Dinnatia’s knowledge of patent law is complemented by diverse artificial intelligence (AI) techniques, including machine learning (ML), natural language processing (NLP), and predictive modeling.

With a Bachelor’s degree in Mechanical Engineering and a Master’s degree in Electrical Engineering, her areas of expertise include a broad range of technologies—including AI, ML, data mining, bioinformatics, deep learning, wireless communications, medical devices, smartphones, mechanical, electrical, electro-mechanical, and software arts. Dinnatia stays current with key concepts and distinctions between various AI models through continuous education, regularly engaging with industry conferences, and specialized certifications to remain at the leading edge of AI advancements.

Dinnatia is dedicated to leveraging data and AI to gain deeper insights that guide clients in making more intelligent strategic choices. This strategic guidance extends to employing AI to predict emerging technology trends and evaluate the strength and value of patent assets with unprecedented precision to empower clients to make informed choices regarding their patent portfolios and licensing strategies.

As Wood IP’s Lead AI of Counsel, Dinnatia actively supports the adoption of advanced analytics and automation across the patent landscape. This includes championing solutions that streamline patent portfolio management, enhance prior art searches, and improve the efficiency and accuracy of the entire patent lifecycle. This commitment includes working closely to provide interactive feedback to the software developer of the firm’s proprietary generative AI patent prosecution tool to contribute to the software developer delivering tools and models that undergo stringent validation processes, mitigating risks such as ‘hallucinations’ or biased data, thereby guaranteeing dependable insights for clients.

Dinnatia has also worked as a patent attorney at several Washington D.C. law firms, including Hunton & Williams and Pillsbury Winthrop. Before practicing law, she served as an associate engineer for Duke Power Company’s Catawba Nuclear Station. Prior to that, she held several internship positions at technology companies, including General Motors and Hewlett-Packard.

  • EDUCATION
    • J.D., University of South Carolina, 1995
    • D. Eng. Candidate (Doctor of Engineering in AI/ML), George Washington University, 2028
    • M.S., Electrical Engineering, Johns Hopkins University, 2000
    • B.S., Mechanical Engineering, North Carolina A&T State University, 1990, magna cum laude
  • ADMISSIONS
    • Admitted to practice South Carolina: July 1995
    • Registered to practice before USPTO: September 1999