Mary Till is an experienced patent attorney currently serving as Of Counsel at Finnegan, Henderson, Farabow, Garrett & Dunner, LLP, beginning in April 2024, where expertise includes patent prosecution counseling for a range of clients, from large corporations to startups. Prior to this role, Mary spent nearly 19 years at the USPTO as a Legal Advisor, and previously worked at Foley and Lardner from September 1997 to June 2005 as an Associate, following initial experience as a Patent Examiner at the USPTO from May 1993 to September 1997. Educational qualifications include a J.D. from American University Washington College of Law (1998-2002), an M.S. in Organic Chemistry from Virginia Tech (1990-1992), and a B.S. in Chemistry from Gannon University (1986-1990).

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Finnegan, Henderson, Farabow, Garrett & Dunner

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Finnegan is a true full-service IP firm handling patent, trademark, copyright, and trade secret law, with experts in every technology. Finnegan, Henderson, Farabow, Garrett & Dunner, LLP is a true full-service IP firm with experts in every area of IP and every technology. A comprehensive approach to clients’ IP needs and Finnegan’s mega-boutique size underpins their year-to-year, decade-to-decade preeminence in IP litigation across all industries and tribunals. From offices in the United States, Asia, and Europe, Finnegan continues to be one of the world’s largest firms focusing on intellectual property, practicing all aspects of patent law, trademark law, copyright law, and trade secret law, representing clients on IP issues relating to U.S. and European patent and trademark law, international trade, portfolio management, the Internet, cybersecurity, e-commerce, government contracts, antitrust and unfair competition. Finnegan offers full-service IP legal experience and technical expertise in virtually every industry and technology, including biotechnology, pharmaceuticals, biologics and biosimilars, chemicals, electronic devices and components, computers and software, financial services and business systems, artificial intelligence (AI) and machine learning (ML), digital health, nanotechnology, automotive, aerospace and aviation, industrial manufacturing, consumer products, media, food and beverage, medical devices, clean energy and renewables, robotics, sports and fitness, textiles, and 3D printing.


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