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AI Vendor Contracts: Data Rights, IP, Risk Allocation, and Compliance

Recording of a 90-minute CLE video webinar with Q&A

This program is included with the Strafford CLE Pass. Click for more information.
This program is included with the Strafford All-Access Pass. Click for more information.

Conducted on Thursday, October 23, 2025

Recorded event now available

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This CLE webinar will examine how companies should structure agreements with AI vendors. The panel will discuss data rights over inputs and outputs, IP and copyright risk allocation, privacy/security and cross-border transfer obligations, safety and bias assurances for risk-sensitive use cases, and operational controls (SLAs, model updates, and change control) that differ from traditional SaaS deals.

Description

New contract considerations arise from ever-advancing AI tools, evolving vendor policies, and emerging state, federal and international regulations. Counsel must address customer data use in model training, ownership and use rights to outputs and improvements, copyright/IP indemnities for generative output, and the adequacy of security, audit, and incident response terms, including sub-processor risk. Contracts also should address model versioning/deprecation and termination and portability to reduce supplier restrictions.

Listen as our experienced panel explores necessary vendor approaches and clause options covering no-training, output ownership, change control, bias/safety cooperation, and termination, with guidance to support legal teams during pilots and scaled deployments with defensible business agreements.

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Outline

  1. Introduction
  2. What makes AI contracts different: model training, dynamic updates, output risk
  3. Data rights: inputs, outputs, and training
  4. IP and copyright risk allocation
  5. Privacy, security, and cross‑border transfers
  6. Safety, bias, and high risk use cases
  7. Model operations: SLAs, updates, and change control
  8. Competition and use restrictions
  9. Termination, portability, and switching
  10. Practitioner takeaways

Benefits

The panel will review these and other important considerations:

  • How to spot and prioritize red flags in AI agreements
  • Understanding inputs/outputs/improvements, and how to set ownership and permitted-use positions
  • Allocating IP risk from provider copyright/IP indemnities (scope, exclusions, and required mitigations)
  • Strengthening privacy/security terms (audit rights, incident notice, localization/transfer, sub-processor controls)
  • Model governance in contracts: availability vs. quality SLAs, model change control, version pinning, and rollback rights
  • Considering high risk and regulated uses with bias/safety assurances
  • Termination, portability, and switching (including data export and transition assistance)

Faculty

Galkin, William
William S. Galkin, Esq.

Attorney
Galkin Law

Mr. Galkin is an information technology and internet lawyer who has dedicated his legal practice to representing...  |  Read More

Miller, Rachel
Rachel Miller

Legal Director
ZwillGen

Ms. Miller is a seasoned transactional technology attorney with many years of both law firm and in-house experience....  |  Read More

Scherzer, Dov
Dov Scherzer

Founder
Scherzer Law Group

Mr. Scherzer counsels clients on cutting-edge technology and privacy law matters, with a specific emphasis on...  |  Read More

Access Anytime, Anywhere

Strafford will process CLE credit for one person on each recording. All formats include course handouts.

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