LIVE WEBINAR

Patent Issues for Japanese Companies

Patlytics joins Spencer Fane and Axis to unpack what AI at the USPTO means for Japanese companies filing in the US.

Date
Thursday, September 24, 2026
HOSTED WITH
Spencer Fane & Axis
Marunouchi, Chiyoda-ku, Tokyo
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Thursday, September 24, 2026

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SPEAKERS
Amir Bahrami headshot
Amir Bahrami
APAC Market Lead, Patlytics

Bilingual in English and Japanese, Amir has spent over 10 years growing enterprise accounts across Japan and APAC. He’s JLPT N1 certified and has worked with Japanese businesses for more than 8 years.

Jeffrey Howell headshot
Jeffrey Howell
Partner, Spencer Fane

A U.S. patent attorney with 20 years in IP law, Jeffrey has prepared and prosecuted over 2,000 patent applications before the USPTO and in international jurisdictions, spanning mechanical and electrical technologies. A former U.S. Patent Examiner, he brings firsthand insight into USPTO procedures and examiner practice..

Daniel Hwang headshot
Daniel Hwang
Partner, Spencer Fane

Daniel is a Partner at Spencer Fane LLP in Washington, DC, practicing across the full scope of IP law — patent, trademark, copyright, trade secret, trade dress, unfair competition, and false advertising.

Nomugi Tomoyori headshot
Nomugi Tomoyori
Partner, Spencer Fane

Nomugi is a Partner at Spencer Fane LLP in Washington, DC, focusing on patent law. With over 20 years of experience in IP, including time at Global IP Counselors, she is knowledgeable in every aspect of the industry.

We will cover
AI-powered Drafting

AI-powered Drafting

Applicants are already using generative AI to draft applications, prepare responses, and generate designs — this session covers what that means for compliance and quality.

US RULES, JAPANESE FILINGS

When home-jurisdiction norms don't transfer

US requirements around AI use, disclosure, and inventorship can differ substantially from Japanese practice, a gap that matters most when it's discovered too late.

WHERE THE RISK ACTUALLY LIVES

Where AI can create risk

Accuracy, confidentiality, inventorship, and disclosure obligations all shift when AI enters the picture. We'll break down where those risks show up in practice.