7/31 "Generative AI x Patents: Practical Use and Risk Control from Infringement Prevention Search and Patent Translation"
SEMINAR SESSION
Generative AI x Patents: Practical Use and Risk Control
Practical lessons from infringement prevention search and patent translation
Date and time: Friday, July 31, 2026, 14:00 - 15:00
Venue: Online
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As generative AI becomes more common in patent practice, the real question is not whether to use it, but how far to rely on it and where human judgement must still take responsibility.
This seminar looks at two practical fields, infringement prevention search and patent translation, to organize how generative AI can be used effectively while controlling risk. We will cover infringement judgement involving foreign-language documents, how to identify AI's strengths and limitations, how to deal with mistranslations and fabricated explanations, and how to redesign quality control for real operations.
Event Overview
- Seminar title: Generative AI x Patents: Practical Use and Risk Control from Infringement Prevention Search and Patent Translation
- Date and time: Friday, July 31, 2026, 14:00-15:00
- Venue: Online
Speakers
Speaker
Akane Kawamura
Customer Success Manager, Patent Integration Co., Ltd.
Commentator
Yoshiyuki Ose
Founder CEO / Patent Attorney, Patent Integration Co., Ltd.
Speaker
Ayaka Fukuda
Foreign Filing Expert, AI Patent Trans Inc.
Commentator
Rieko Sugiyama
Representative Director, AI Patent Trans Inc.
Topics Covered in the Seminar
AI PATENTTRANS. PART
AI PatentTrans. Session
- The concrete mechanisms behind non-one-to-one correspondence and fabricated explanations in AI translation
- Examples of mistranslations from actual patent specifications and how those errors are corrected
- Why the AI era requires a "two layers plus one" quality control structure, and how translator evaluation systems must be redesigned
PATENT INTEGRATION PART
Patent Integration Session
- How infringement prevention search functions support infringement judgement using foreign-language documents
- Practical knowledge on AI's strengths, limitations, and quality control
- How to use generative AI safely in practice
Recommended for
- Anyone looking to introduce generative AI into patent translation or infringement prevention search
- Anyone who wants a practical framework for deciding how far AI output can be trusted
- Anyone struggling to balance accuracy and speed when making judgements involving foreign-language documents
- Anyone aiming to promote AI adoption systematically, including security and quality control