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Course Details

Course Information
  • smart_display Format

    Live Online with Live Q&A

  • signal_cellular_alt Difficulty Level

    Intermediate

  • work Practice Area

    Commercial Law

Date & Time
  • event Date

    Thursday, October 23, 2025

  • schedule Time

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

  • timer Program Length

    90 minutes

Credit Information

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


  • Live Online


    On Demand

$297.00

This course is $0 with these passes:

CLE
ALL

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.

Faculty

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.

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Rachel Miller
Legal Director
ZwillGen, PLLC

Ms. Miller is a seasoned transactional technology attorney with many years of both law firm and in-house experience. She has deep experience in all manner of commercial transactions, particularly at the crossroads of technology and media. Her experience includes inbound and outbound licensing of technology and content, platform carriage agreements, interactive content, gaming and app development deals, professional services agreements, software as a service, outsourcing arrangements, open-source software usage, and patent portfolio management. Ms. Miller also has transactional finance experience from her time working in Big Law.

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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.

Outline

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

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)