Strafford will be offering a webinar entitled "Patent Drafting for Machine Learning: Claim Strategy, Patent Eligibility, and Disclosure Requirements for the U.S. and Europe" on March 1, 2022 from 1:00 to 2:30 pm (EST). Peter Arrowsmith of Gill Jennings & Every, Michael S. Borella of McDonnell Boehnen Hulbert & Berghoff, and Linda J. Thayer of Finnegan Henderson Farabow Garrett & Dunner will assist patent practitioners in drafting high quality patent applications for machine learning inventions, and discuss different claim styles and framings that may be appropriate for different machine learning inventions, how to anticipate and minimize the risks of §§ 101 or 112 rejections, and best practices for success before the European Patent Office (EPO). The webinar will review the following issues:
• What is the appropriate way to claim machine learning inventions?
• How can patent counsel meet the requirements under Sections 101 and 112 in machine learning patent applications?
• How does the EPO treat patent applications for machine learning technologies differently than the USPTO?
• What steps should patent counsel take to satisfy patent eligibility and disclosure requirements?
The registration fee for the webcast is $347. Those interested in registering for the webinar, can do so here.
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