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#003: USPTO Fee Setting Proposal Reactions (9/13/2019)
As the IP community digests the USPTO's proposal to adjust patent-related fees, we met with two experts, Kenneth Nigon and Angela Sebor, to discuss their reactions to the proposed changes.
This summer the USPTO published a proposal to adjust patent-related fees and the reaction has been mixed. With a few exceptions, existing fees are increased in the range of 5% to 10%. Other notable proposed fees include the request for expedited examination of a design application, which would jump from $900 to $2,000; a new “Non-DOCX Filing Surcharge” of $400; a $250 fee for non-registered practitioners to appear before the Patent Trial and Appeal Board; and an “annual active patent practitioner fee” of $340 without CLE, $240 with CLE, or $70 voluntarily inactive fee.
Hosted by Gary Lee, produced by Kemahl Franklyn.
2019 AIPLA Annual Meeting - Washington, DC
October 24 to 26, 2019
2019 Annual Meeting
October 24 to 26, 2019Join a diverse, global community of law firms, companies, and institutions involved in the practice of patent, trademark, copyright, trade secret, and other unfair competition laws at AIPLA's Annual Meeting at the Gaylord National Resort & Convention Center in Washington, DC.
AIPLA CLE Webinar: Surviving Daubert in a Patent Case From the Perspective of a Financial Expert
October 29, 2019 12:00 PM to 1:30 PM (Eastern Daylight Time) | 1.5 CLE CreditsThe Panelists for this CLE include a Federal District Court Judge, Financial Experts, an Outside Litigator and an In House Attorney. Through their combined experiences, they will suggest successful, proven strategies for preventing and surviving Daubert challenges
Artificial Intelligence & IP Road Show
November 12, 2019 8:00 AM to 7:00 PM (Pacific Standard Time)The AIPLA AI Road Show is a first of its kind CLE practicum where business and legal leaders gather for hand-on learning on AI-related business and legal issues.
AIPLA CLE Webinar: Patenting Machine Learning Inventions for Companies Outside the Software Industry
November 14, 2019 12:30 PM to 2:00 PM (Eastern Standard Time) | 1.5 CLE CreditsThis presentation focuses on assisting private patent practitioners, as well as in-house attorneys, in understanding the machine learning technology space, developing processes for identifying patentable inventions in the machine learning field, and patenting such inventions. The presentation defines machine learning, addresses strategies for drafting and prosecuting patent applications in the US, and discusses advantages and disadvantages that non-software technology companies may have in obtaining patents in this space.