• videocam Live Webinar with Live Q&A
  • calendar_month July 8, 2026 @ 1:00 PM ET/10:00 AM PT
  • signal_cellular_alt Intermediate
  • card_travel Commercial Law
  • schedule 90 minutes

Evaluating AI M&A Opportunities: Due Diligence Efforts and Regulatory Compliance Considerations

About the Course

Introduction

This CLE webinar will examine the due diligence and regulatory challenges of M&As involving AI targets or targets that rely heavily on AI. Our faculty will highlight intellectual property, data privacy, regulatory, and valuation risks that must be addressed during a deal's due diligence to help buyers and sellers achieve better deal outcomes.

Description

AI M&A is booming, driven by companies looking to acquire technology, talent, and data. This is especially true in the life sciences, financial services, and technology sectors. But acquiring AI businesses or businesses whose value rests on AI-generated work or data poses unique M&A challenges. This includes AI startups, conventional businesses relying on AI platforms, and companies with attractive competitive advantages stemming from proprietary data or models.

Deal challenges focus on a few key areas, including attributing and valuing AI-based assets; IP and data protection; model provenance (the AI asset's chain of custody, including origin, development, and training); and assessing and assuring commercial-level model performance. Evolving antitrust and national security policies add complexity to deals, and a target asset's compliance protocols should also be evaluated during the diligence phase.

Our faculty will spotlight these very practical and important deal risks and share due diligence strategies that foster healthier AI M&A transactions. Time will also be spent discussing how buyers' and sellers' counsel can structure due diligence practices to help price assets more accurately using tighter valuation frameworks and validation methods. Additional diligence discussion will focus on analyzing ownership of or access rights to proprietary datasets and whether compute costs are commercially sustainable. Our faculty will walk attendees through diligence solutions to address these concerns and more. Finally, our faculty will address when and how to weave third-party due diligence experts into diligence efforts.

Listen as our authoritative panel of experts identifies and addresses the unique due diligence measures required in AI M&A transactions, as well as the regulatory compliance considerations sellers and buyers need to address before moving forward with a deal. 

Presented By

F. Dario de Martino
Partner, Co-Head of Tech M&A
White & Case LLP

Mr. de Martino’s practice focuses on domestic and cross-border public and private mergers and acquisitions, carve-outs, joint ventures, and other strategic transactions, and corporate governance matters. He represents a broad array of major U.S.-based and multinational technology (including AI/machine learning, FinTech, digital assets, payments, software, semiconductors, IoT, and cloud computing), financial services, life sciences + healthcare, and industrial companies. Mr. de Martino has extensive experience advising Japanese corporates in connection with U.S.-centric M&A transactions. He is a frequent speaker and writer on various topics in M&A with a particular focus on innovative technologies. 

Erin Hanson
Partner, Co-Head of AI Practice and Technology Industry Group
White & Case LLP

Ms. Hanson is a transactional attorney, specializing in IP and technology transactions and counseling. She offers clients legal and commercial advice across the spectrum of standalone IP and technology transactions, including all aspects of IP and technology licensing, development and joint-development agreements, evaluation and testing agreements, strategic alliances, distribution, outsourcing, cloud and "as-a-service" arrangements. Ms. Hanson also advises on the IP and technology aspects of M&A, private equity and other corporate transactions, including acquisitions, divestments, carve-outs, and joint ventures. Her work includes representing both strategic and financial clients, across a number of industries, including social media, software, hardware, telecommunications, clean-tech, data and analytics, digital health and financial services, in matters relating to a wide variety of technologies such as artificial intelligence, e-commerce, platform technologies, big data, autonomous driving, and the internet of things.




Credit Information
  • This 90-minute webinar is eligible in most states for 1.5 CLE credits.


  • Live Online


    On Demand

Date + Time

  • event

    Wednesday, July 8, 2026

  • schedule

    1:00 PM ET/10:00 AM PT

I. AI evolution and the AI M&A market 

II. Key legal and regulatory considerations, including EOs and key EU AI requirements 

III. Antitrust considerations 

IV. Sharpened due diligence tactics for AI assets and targets 

A. Valuation 

B. IP (ownership, access, and protection) and data privacy 

C. AI lineage/chain of custody/model provenance 

D. Talent assessment, retention, and training 

E. Third-party diligence firms: efficacy vs. costs 


The panel will review these and other critical issues: 

  • How to evaluate AI M&A opportunities
  • What are the key domestic and international regulatory requirements—including antitrust considerations—to consider when evaluating and papering a deal? 
  • How do buyers and sellers value AI asset-based deals? 
  • What heightened due diligence efforts are necessary to evaluate data and IP protection, data access, and model provenance in AI M&A transactions?