BarbriSFCourseDetails
  • videocam Live Online with Live Q&A
  • calendar_month October 23, 2025 @ 1:00 p.m. ET./10:00 a.m. PT
  • signal_cellular_alt Intermediate
  • card_travel Commercial Law
  • schedule 90 minutes

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

$297.00

This course is $0 with these passes:

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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.

Presented By

William S. Galkin
Attorney
Galkin Law, LLC

Mr. Galkin is an information technology and internet lawyer who has dedicated his legal practice to representing internet, e-commerce, information technology and new media businesses across the U.S. and around the world. He serves as a trusted adviser to startup, emerging, established and multinational corporations on their core commercial transactions including corporate formation and transitions, intellectual property, technology and software development, licensing, transfer, and distribution,  regulatory compliance, as well as agreements for online businesses, including, SaaS offerings, website terms of use, privacy policies,  development agreements, affiliate agreements and sweepstakes/contest rules and compliance. Mr. Galkin’s broad experience gained during more than 20 years in practice allows him to provide cutting-edge, creative and efficient solutions to complex problems.

Rachel Miller
Senior Legal Director
ZwillGen, PLLC

Ms. Miller leads ZwillGen’s commercial transactions group where she advises clients on all manner of commercial transactions, particularly as they relate to technology, data, and content. Her years working in-house in media during a period of major disruption in industry and technology informs her business-minded and practical approach to deal making and problem solving. Ms. Miller counsels both vendor and customers and has a keen sense of how the market is evolving across various verticals and the intellectual property, privacy and commercial issues that are often at the center of these arrangements. Her clients include companies at every stage of growth, from start-ups that are gearing up for their first product launch, to mature companies advancing their technology stack or forming new partnerships to adapt to industry changes. Ms. Miller helps clients craft term sheets for business partnerships, assists with drafting and negotiating inbound and outbound licensing deals, and negotiates technology agreements of all sorts with an ever-increasing focus on AI-enabled tools. 

Dov Scherzer
Founder
Scherzer Law Group

Mr. Scherzer counsels clients on cutting-edge technology and privacy law matters, with a specific emphasis on artificial intelligence (AI) matters, and complex information technology, outsourcing, and intellectual property transactions. He has extensive and varied experience in these areas garnered over more than 20 years as a partner at large national and international firms and at a pioneering technology law boutique in New York City. 

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


  • Live Online


    On Demand

Date + Time

  • event

    Thursday, October 23, 2025

  • schedule

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

I. Introduction

II. What makes AI contracts different: model training, dynamic updates, output risk

III. Data rights: inputs, outputs, and training

IV. IP and copyright risk allocation

V. Privacy, security, and cross‑border transfers

VI. Safety, bias, and high risk use cases

VII. Model operations: SLAs, updates, and change control

VIII. Competition and use restrictions

IX. Termination, portability, and switching

X. Practitioner takeaways

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)