[Co-hosted Seminar Announcement] Generative AI x Patent Utilization Techniques to Avoid Failure: Thorough Explanation of "Key Points" in Patent Translation and "Know-how" in Patent Analysis!!

AI Patent Translation Inc. and GrIP (LeXi/Vent) will co-host a seminar on May 11, 2026, focusing on generative AI for patent translation and analysis. The seminar aims to prevent failures caused by AI's 'apparent accuracy' and share insights on proper utilization and quality control.
イベントNQ 0/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: May 4, 2026 at 18:30
  • 🔍 Collected: May 4, 2026 at 10:02
  • 🤖 AI Analyzed: May 4, 2026 at 10:03 (1 min after Collected)
“If you let AI read patents, it will do everything else for you.” Do you think so? Or, have you experienced “not being able to keep up with quality checks once you started using AI translation”? Now that generative AI has entered patent practice, “failures” are quietly but surely accumulating on the ground. The pitfalls of AI translation, the overconfidence in AI analysis—what they both have in common is that they “look good at first glance.”

**Seminar Application Form is here ⇩**
https://docs.google.com/forms/d/e/1FAIpQLSdDB281S4owpLpo9f6tLhMr67As-f0CV1Qug3kPoQOUk1BKJg/viewform?usp=dialog

**Why do failures occur in the patent x AI field?**
Generative AI is certainly powerful. It can perform tasks requiring “breadth and speed,” such as summarizing vast public documents, developing synonyms for keywords, and primary translation of foreign patents, several times faster than humans.

However, AI is an engine that outputs “plausible sentences”—not correct sentences, but sentences that appear correct.

In the field of patent translation, careful verification of AI translations sometimes reveals legally fatal errors hidden within seemingly fluent sentences. In the field of patent analysis, blindly trusting AI-outputted classification results or summaries carries the risk of misinterpreting the scope of rights.

So, how should it be used? What should be entrusted to AI, and what should humans handle?

We will hold a seminar that directly answers these questions from two perspectives: translation and analysis.

**Seminar Overview**
Generative AI x Patent Utilization Techniques to Avoid Failure: Thorough Explanation of “Key Points” in Patent Translation and “Know-how” in Patent Analysis!!

📅 May 11, 2026 (Mon) 14:00〜15:00
🏢 Organized by: AI Patent Translation Co., Ltd. × GrIP (LeXi/Vent)

**Speakers and Content**
🎤 **Ayaka Fukuda (AI Patent Translation Co., Ltd.)**
Theme: "Key Points" of Patent Translation - How to maintain translation quality in the AI era.
The rapid evolution of generative AI has significantly transformed the environment surrounding patent translation. As AI is embraced as a powerful support tool, the role of translators has shifted towards more advanced technical and legal verification.

AI translations often look very good at first glance. However, careful verification reveals hidden problems. To use it correctly, one must grasp these issues and filter out errors.

We will share practical knowledge cultivated on the ground, covering know-how and caveats when using AI in patent translation, and human management initiatives within companies for handling AI.

🎤 **Yutaro Uemura (LeXi/Vent Inc. / GrIP)**
Theme: "Know-how" of Patent Analysis - AI utilization design by risk.
While misconceptions like “a patent map will be completed if you just throw it to AI” or “there’s a magic prompt” are rampant, organizations that fail to implement AI share common patterns.

We will explain how to delineate areas that should be entrusted to AI (breadth and speed) versus areas that should not (depth and meaning-making), and design AI utilization according to the level of business risk. We will also specifically address how to create prompts that prevent hallucinations and the concept of AI-in-the-Loop, which redesigns workflows with a “human → AI → human” sandwich structure.

**Recommended for:**
* Those who want to introduce AI into patent translation or patent search but don't know how to manage quality.
* Those who have started using LLMs like ChatGPT and Claude but are unsure how much to trust them.
* Organizations where AI usage varies among staff and is not standardized.
* Those who are considering what skills to acquire as an "analyst" in the future.
* Those who want to "correctly" incorporate AI into patent translation and patent search operations.

There are no magic prompts or omnipotent tools. There are only design for integration into operations and rules for quality control.

Please come and listen to the practical knowledge gleaned from two fields: translation and analysis.

📅 May 11, 2026 (Mon) 14:00〜15:00
🏢 Organized by: AI Patent Translation Co., Ltd. × GrIP (LeXi/Vent)

▶︎ **Register here ⇩**
https://docs.google.com/forms/d/e/1FAIpQLSdDB281S4owpLpo9f6tLhMr67As-f0CV1Qug3kPoQOUk1BKJg/viewform?usp=dialog

For inquiries, please feel free to contact the GrIP editorial department (info@lexi2vent.com).