Negotiating Vendor Agreements in the Age of AI – Part II: Deep Dive Into Key Terms & Best Practices
Tuesday, January 6th • 3:00 PM – 4:30 PM ET
Artificial intelligence is accelerating across every industry, and with it comes a new layer of complexity in how organizations negotiate and manage technology contracts. Traditional vendor agreements weren’t built for today’s AI-driven realities, leaving in-house counsel to navigate evolving questions around data rights, model training, performance assurances, generative output, hallucination risk, and shifting regulatory expectations. As AI capabilities expand, so do the legal and operational stakes — and the pressure on legal teams to update contracting frameworks with clarity, confidence, and speed.
Join us on Tuesday, January 6, 2026 at 3:00 PM ET as Jennifer Hill, CEO and Board Chair of ThoughtRiver, and Chanley Howell, Partner at Foley & Lardner LLP, return for Part II of this widely attended series. This advanced session goes deeper into the key terms that are now most frequently negotiated in AI-driven vendor relationships. You’ll learn where data issues become particularly thorny for both customers and service providers, the technical questions in-house teams should be asking but often miss, and the emerging AI contract provisions that can strengthen protections while keeping deals moving. The speakers will also share practical fixes you can apply immediately to existing agreements — from training-data language and generative-content boundaries to mitigation tools for hallucination risk and refined data/IP guardrails.
Key Takeaways
Deeper insight into the AI-specific terms that are becoming essential to vendor negotiations today
How and where data rights, data access, and data-usage issues become high-risk for both sides
Quick remedies to engage in real-time issues resolution
Sample contract language and fast-track updates for training data, generative output, hallucination risk, and more
Best practices to move business goals forward while optimizing and mitigating risk
Who Should Attend
This program is designed for in-house counsel and legal operations professionals responsible for negotiating, reviewing, or managing technology or vendor agreements — especially those evaluating AI tools, overseeing data and IP risk, or modernizing contract frameworks to align with rapidly evolving AI capabilities.
