Negotiating GenAI Deals: Data Protection, IP Ownership, and Contract Guardrails for In-House Counsel

As legal teams evaluate and negotiate AI-enabled tools, the hardest questions often go far beyond product functionality. In-house counsel are increasingly being asked to assess how vendors handle training data, define ownership of inputs and outputs, allocate risk for inaccurate results, and build governance frameworks that can stand up as the technology and regulatory landscape continue to evolve. For legal departments, this is no longer just a privacy or procurement issue. It is a broader question of risk allocation, strategic control, and legal competence.

Join us on Wednesday, June 17 at 3:00 PM ET as Matthew Minor, Legal Counsel at Axiom, explores the key legal and contractual issues in GenAI and machine learning deals, with a practical focus on data protection, IP ownership, and governance guardrails. Drawing on nearly three decades of experience across AmLaw 50 firms, Fortune 500 in-house legal departments, and the consultant and vendor side, Matthew will walk attendees through the contract terms, ownership questions, and operational considerations that matter most when evaluating AI tools. This CLE session will also examine how evolving expectations around AI governance, transparency, and legal oversight are reshaping what in-house counsel should be requesting in commercial agreements and AI addendums.

Key Takeaways:

• How to distinguish among customer data, derived data, and inferences when evaluating GenAI and machine learning contract terms
• What in-house counsel should look for in provisions addressing model training, logical isolation, audit rights, feedback rights, and vendor liability
• How to think about ownership of inputs, outputs, and AI-generated insights when the law remains unsettled
• Why AI addendums, ISO 42001, explainability obligations, and human-in-the-loop safeguards are becoming increasingly important in vendor negotiations
• How legal teams can build stronger contractual and operational guardrails around AI use while meeting their broader duty of technological competence

Who Should Attend:

This webinar is designed for in-house legal professionals involved in technology transactions, data governance, privacy, AI procurement, and commercial contracting. It will be especially relevant for general counsel, deputy general counsel, commercial counsel, privacy counsel, product counsel, legal operations leaders, and other members of corporate legal departments responsible for evaluating AI-related risk, negotiating vendor agreements, and advising the business on emerging technology issues.

There is NO COST to attend this program!

This program is FREE, thanks to our gracious sponsor, Axiom! If you can’t make it to the live program, the recording will be available for viewing via our paid CLE library- In-House Connect On-Demand.