As co-head of the firm's intellectual property practice group, Tyler focuses his practice on complex intellectual property and technology contracts. Tyler represents clients ranging from Fortune 100 companies to startups in structuring, drafting and negotiating complex intellectual property and technology contracts, including patent and technology license agreements, joint development agreements, AI services agreements, software licenses, data licensing, master services agreements, software as a service (SaaS) agreements, API license agreements, technology escrow agreements, trademark license agreements, university license agreements, and IP and technology transfer agreements. He also has extensive experience in structuring and negotiating IP and technology provisions in M&A transactions, conducting IP and IT due diligence investigations, advising on open source software compliance, litigation of intellectual property rights, and resolution of IP and technology contract disputes. His practice covers a range of industries, including artificial intelligence, energy, life sciences, and fintech.Tyler is a member of the Licensing Executives Society and is admitted to practice before the US Court of Appeals for the Federal Circuit and the US District Courts for the Eastern District of Virginia and Eastern District of Texas. He is also registered with the US Patent and Trademark Office.

Bar Admissions
District of Columbia

New York

Virginia

US Patent and Trademark Office

Education
JD, The George Washington University Law School, cum laude, 1995

BA, Harvard University, cum laude, 1988

Medical Devices Law and Regulation Answer Book, Chapter 16: Licensing, Product Development and Commercialization, Practicing Law Institute

AI in M&A: Identifying and Managing the New IP and Data Privacy Risks

Chapter: The Shifting Subject Matter of IP Licensing in the Information Age: Maximizing the Licensor's Asset Monetization while Facilitating the Licensee's Success, Published in Aspatore Books: Intellectual Property Licensing Strategies 2016

Fair Warning: Artificial Intelligence's First Copyright Fair Use Ruling, Thomson Reuters Enterprise Centre GmbH v. Ross Intelligence Inc.

Hunton AI and Emerging Technologies 2023 Year in Review

Open Source AI Versus Proprietary AI Models: Key Differences in Contract Terms and IP Risks - Part 2

Part 1 - Open Source AI Models: How Open Are They Really?

The Scope of Patent Exhaustion, Intellectual Property Magazine

Training a Machine Learning Model Using Customer Proprietary Data: Navigating Key IP and Data Protection Considerations, Pratt's Privacy & Cybersecurity Law Report

With All the New Technologies Out There, Does Your IP Due Diligence Need an Upgrade?, The Licensing Journal, Vol. 40, No. 3, IPAA