Lessons from Pantech v. Google and the Wi-Fi 7 Portfolio
How can SEP analysis scale across thousands of patents without compromising the technical rigor required for licensing, FRAND negotiations, arbitration, or litigation?
This white paper introduces a practical AI + Human-in-the-Loop methodology for Standard Essential Patent analysis, combining the speed and scalability of XLSCOUT Standigger LLM with the technical expertise and judgment of TT Consultants’ human experts.
Published in LES Japan News and co-authored with Toshifumi Futamata Sensei, Chair of the SEP Expert Group in Japan, the paper explores where AI delivers genuine value in SEP essentiality assessment, where its limitations become apparent, and why expert validation remains indispensable for technically rigorous and reliable analysis.
What You’ll Learn
The Potential Impact at Portfolio Scale
- 87% reduction in analysis time
- 79% reduction in modeled cost
AI for Scale. Human Expertise for Judgment.
It examines a more important question: how should AI be incorporated into an end-to-end SEP workflow so that greater speed and analytical coverage do not come at the expense of reliability?
The proposed methodology uses AI to expand expert capacity—screening portfolios, prioritizing candidates, retrieving relevant standard provisions, and structuring mappings—while concentrating human expertise on the interpretations and decisions where judgment is irreplaceable.
About the Authors
- Evenpreet Singh — Product Manager, XLSCOUT Japan
- Shilpa Gupta — Technical Expert, SEP Analysis & Validation, XLSCOUT
- Hiroyo Clemente — Director of Business Development, XLSCOUT Japan
- Toshifumi Futamata — Chair, SEP Study Group Japan
Access the White Paper
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