Patent Drafting for Machine Learning: Claim Strategy, Patent Eligibility, and Disclosure Requirements for the U.S. and Europe
Recording of a 90-minute premium CLE video webinar with Q&A
This CLE course will assist patent practitioners in drafting high quality patent applications for machine learning inventions. The panel will discuss different claim styles and framings that may be appropriate for different machine learning inventions, how to anticipate and minimize the risks of Sect. 101 or 112 rejections, and best practices for success before the European Patent Office (EPO).
- Understanding the components of a machine learning invention
- Claim strategies for machine learning inventions, style, and framing
- The current state of subject matter eligibility for machine learning in the U.S. and Europe
- Disclosure requirements in the U.S. and Europe
- Drafting techniques for satisfying patent eligibility and disclosure requirements
The panel will review these and other relevant 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?
Gill Jennings & Every
Mr. Arrowsmith is often ranked as one of the leading patent attorneys in the UK. His technical focus is in physics with... | Read More
Mr. Arrowsmith is often ranked as one of the leading patent attorneys in the UK. His technical focus is in physics with specialisms in optics and software. He works with in-house departments for a number of U.S. companies to support and develop their European IP portfolio. Mr. Arrowsmith also works with large multinationals based in Europe working on some of their latest innovations, in the patent drafting process as well as overseas prosecution, and oppositions. HE works across a variety of industrial sectors, but has particular expertise in machine learning, augmented reality and virtual reality devices, mobile phones and telecommunication, GPS and navigation systems, quantum computing, and medical devices.Close
Dr. Michael S. Borella, Ph.D., J.D.
Partner; Co-Chair Software and Business Methods Practice Group
McDonnell Boehnen Hulbert & Berghoff
Dr. Borella provides legal and technological advice in support of validity, infringement, patentability analyses, and... | Read More
Dr. Borella provides legal and technological advice in support of validity, infringement, patentability analyses, and litigation matters. His expertise includes networking, internet telephony, wireless communication technologies, telecommunications, financial transactions, cloud computing, routing, TCP/IP, artificial intelligence and machine learning, computer graphics and imaging, voice and facial recognition, robotics, and mobile applications. Dr. Borella has drafted or been involved in the prosecution of hundreds of patents in the U.S., as well as in other jurisdictions. He has experience in numerous phases of patent litigation, including invalidity analysis, discovery, motion practice, and claim construction. His practice also includes patentability, validity, and infringement analyses, as well as client counseling with respect to the procurement of all types of intellectual property rights. Dr. Borella has written extensively on the patent-eligibility of computer-implemented inventions and has been a featured presenter for several seminars on the topic as well. He is a former adjunct professor at Northwestern University, and has lectured on patent law at the Chicago-Kent College of Law.Close