BarbriSFCourseDetails
  • videocam Live Online with Live Q&A
  • calendar_month December 17, 2025 @ 1:00 p.m. ET./10:00 a.m. PT
  • signal_cellular_alt Intermediate
  • card_travel Corporate Law
  • schedule 90 minutes

Controlling Artificial Intelligence When You Are Not in Control: Practical Policies for Minimizing Vendor or Partner Risks

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MSRP
$347.00
$294.95
Save $52.05

Discount expires 11/20/25

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Description

Companies and law firms need to control the risks posed by AI. But when your company purchases an AI tool from a vendor, or supports partners like Legal Aid organizations who may have integrated AI tools into their client service processes, you really don't have that much control.

This panel will discuss what types of controls are possible with third-party AI systems, how to balance the benefits of working with the vendor or partner versus the risks posed to your employees or partners, and how to evaluate what policy terms are "nice to have" versus non-negotiable.

At the conclusion, participants should feel empowered to ask better questions when creating AI policies that impact vendor or partner agreements, understand the issues associated with the most common policy challenges, and learn through the experience of panel experts who have had to face these same issues in their organizations and firms.

Listen as our authoritative panel provides guidance on the benefits and risks associated with third-party vendors, the possible controls to leverage, and setting AI policies impacting vendor and partner agreements.

Presented By

Simon Boehme
Chief Operating Officer of BillingNav, Partner at the 1000 Fund, and Senior Fellow at the Center for Negotiation & Dispute Resolution at the University of California College of Law, San Francisco
BillingNav

Mr. Boehme is a technology entrepreneur and the author of Smart Risks: AI in Self-Insurance. He also co-authored, Safe AI Basics: How to Practically Apply Basic Safety Principles to AI Augmented Systems. Mr. Boehme currently serves as a Partner at the 1000 Fund and as Chief Operating Officer of BillingNav, a leading technology-enabled medical balance billing solution for self-funded employer health plan participants. In addition, he is a Senior Fellow at the Center for Negotiation & Dispute Resolution at the University of California College of Law, San Francisco, and co-chairs the Center for International Legal Studies Mediation Symposium, held biannually in Austria.

Chris Draper
CEO and Co-Founder
morriganAI

Mr. Draper, Ph.D., P.E., is a technologist whose career has focused on reducing human errors using novel technologies in safety critical environments. He is CEO and Co-Founder of AI Identity company morriganAI (www.morriganAI.com) has held roles from computational modeler in the aerospace industry to C-suite positions in the renewable fuels industry and supported entrepreneurial and intrapreneurial efforts at companies ranging from startups to Fortune 100 companies in industries including real estate to automotive to education. In the LegalTech space, Mr. Draper has been a longtime contributor and leader to problems of data security, confidentiality, and equitable information use for applications ranging from dispute resolution to access to justice. He is a Visiting Scholar at the Indiana University Ostrom Workshop focusing on blockchain governance and intangible valuation and a Fellow of the National Center for Technology in Dispute Resolution.


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


  • Live Online


    On Demand

Date + Time

  • event

    Wednesday, December 17, 2025

  • schedule

    1:00 p.m. ET./10:00 a.m. PT

I. Controls with third-party AI systems

II. Benefits of working with the vendor or partner vs. risks to employees or partners

III. Evaluating policy terms

IV. Best practices

The panel will review these and other important considerations:

  • How to spot and prioritize red flags related to AI in vendor agreements
  • Model governance in contracts: availability vs. quality SLAs, model change control, version pinning, and rollback rights
  • Controls that can be put in place with third-party AI systems