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Monetizing intellectual property (IP) through patents and trade secrets can be a highly lucrative strategy for businesses, but it comes with its own set of legal challenges and issues. This panel session will seek to determine legal issues surrounding IP monetization and brings clarity immediate issues:

Legal Issues:
- Licensing trade secrets to third parties
- Commercializing trade secrets through joint ventures or partnerships
- Internal processes for maintaining confidentiality while commercializing trade secrets
Methods for Monetizing Trade Secrets:
- Explore the nature of the innovation
- What are competitive advantage considerations—long-term trade secret protection vs. temporary monopoly of a patent
- What are the market conditions and potential buyers/licensees—are they more likely to value the exclusivity of a patent or the secrecy of a trade secret?

Author:

Michael Renaud

Member/Chair IP Division
Mintz

Michael Renaud

Member/Chair IP Division
Mintz

Author:

Jamie Simpson

Chief Policy Officer and Counsel, C4IP
Former Chief Counsel on the House Judiciary Subcommittee on Courts, IP, and the Internet and Associate Solicitor at the USPTO

Jamie Simpson

Chief Policy Officer and Counsel, C4IP
Former Chief Counsel on the House Judiciary Subcommittee on Courts, IP, and the Internet and Associate Solicitor at the USPTO

Author:

Mike Binns

Director and Associate General Counsel, Head of Patents & Trade Secrets
Meta

Micheal Binns is Head of Patent Portfolio Strategy for Meta’s Family of Apps and an Associate General Counsel on the Patent, Licensing, and Open Source team at Meta, formerly Facebook. Michael also leads Meta’s IP Trade Secret and Design Patent protection strategies. As a registered patent attorney, Mike’s helped protect global copyrights and trademarks in addition to patent rights for a wide range of industries. At present, he advises on global IP portfolio strategy and risk mitigation related the future of social networking, AR/VR, and the metaverse. Micheal has and continues to protect the knowledge, systems, and inventions that are business-critical drivers of revenue.

 

Before joining Facebook, Micheal was the Atlanta Office Development Partner at Parker Poe Adams & Bernstein LLP, where his experience included the litigation, counseling, and prosecution of all forms of intellectual property related to a variety of industries and technologies.

Mike Binns

Director and Associate General Counsel, Head of Patents & Trade Secrets
Meta

Micheal Binns is Head of Patent Portfolio Strategy for Meta’s Family of Apps and an Associate General Counsel on the Patent, Licensing, and Open Source team at Meta, formerly Facebook. Michael also leads Meta’s IP Trade Secret and Design Patent protection strategies. As a registered patent attorney, Mike’s helped protect global copyrights and trademarks in addition to patent rights for a wide range of industries. At present, he advises on global IP portfolio strategy and risk mitigation related the future of social networking, AR/VR, and the metaverse. Micheal has and continues to protect the knowledge, systems, and inventions that are business-critical drivers of revenue.

 

Before joining Facebook, Micheal was the Atlanta Office Development Partner at Parker Poe Adams & Bernstein LLP, where his experience included the litigation, counseling, and prosecution of all forms of intellectual property related to a variety of industries and technologies.

Rashmi Gopinath, General Partner, BAM Corner Point

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Rashmi Gopinath, General Partner, BAM Corner Point (AI Infra Summit Speaker 2024, 2025)

Gayathri Radhakrishnan, Partner, Hitachi Ventures

Exploring how AI can be leveraged to optimize chip design and physical infrastructure development is a crucial next step to scaling infrastructure.

Gayathri Radhakrishnan, Partner, Hitachi Ventures (AI Infra Summit Speaker 2024, 2025)

Karl Freund, Founder & Principal Analyst, Cambrian AI

Quantum for AI is going to have its chat-gpt moment – some of the major players are downplaying it but it’s going to be huge when it comes.

Karl Freund, Founder & Principal Analyst, Cambrian AI (AI Infra Summit Speaker 2018-2025)

Brett Simpson, Co-Founder & Senior Analyst, Arete Research

Key enterprise concerns include privacy, accuracy, governance, security, and of course the cost of building their own AI models.

Brett Simpson, Co-Founder & Senior Analyst, Arete Research (AI Infra Summit Speaker 2019-2025)

Donald Thompson, Distinguished Engineer, LinkedIn

Agentic AI is transforming the developer workforce, we’re exploring ideas such as placing a core set of developer leads in charge of a team of "virtual developers" (agent developers), rather than hiring and then letting go of a large number of real people for certain projects.

Donald Thompson, Distinguished Engineer, LinkedIn (AI Infra Summit Speaker 2024, 2025)

Arun Nandi, Chief Data & AI Officer, Carrier

I’m looking closely at the potential of video foundation models, such as Sora from OpenAI, as an emerging area of interest for enterprises looking to explore multimodal capabilities beyond just text-based language models.

Arun Nandi, Chief Data & AI Officer, Carrier (AI Infra Summit Speaker 2023, 2024, 2025)

Donald Thompson, Distinguished Engineer, LinkedIn

With increasing compute power on the edge, the pendulum is swinging back towards smart clients that can run AI locally, potentially reducing the need for massive data center infrastructure for inference.

Donald Thompson, Distinguished Engineer, LinkedIn

Eliana Stefani, Autonomy & AI Research Engineer, Lockheed Martin

In the Lunar Rover, the AI system needs to make decisions in real-time, within 100 milliseconds, so can’t rely on sending data to the cloud. Our autonomous driving system handles mapping, localization, path planning, obstacle avoidance, and path execution. 

Eliana Stefani, Autonomy & AI Research Engineer, Lockheed Martin (AI Infra Summit speaker 2025)