ON-DEMAND

Negotiating Generative AI Agreements CLE: Contract Law, Emerging Regulation, and Practical Drafting Strategies

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20 Aug, 2026 | 
12:00 PM EST
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60mins
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Virtual event
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1.0 Credits

 Watch this free continuing legal education (CLE) course on demand to explore how generative artificial intelligence is transforming enterprise software contracting and changing how attorneys assess contractual risk. AI-enabled technologies—including machine learning, large language models, and generative AI systems—are introducing new legal considerations involving intellectual property, confidentiality, privacy, data governance, regulatory compliance, liability allocation, and professional responsibility. 

This course provides attorneys with a substantive legal framework for negotiating AI-enabled technology agreements, drawing on contract law principles, federal and state privacy laws, intellectual property doctrines, trade secret protections, regulatory developments, and recent AI litigation. The program connects these evolving legal authorities to the practical negotiation and drafting of commercial AI agreements.

By watching this online CLE program, you’ll learn how to:

  • Analyze how generative AI changes traditional risk allocation in commercial technology agreements.
  • Apply contract principles and statutory requirements when negotiating AI-enabled SaaS agreements.
  • Evaluate AI-related provisions involving intellectual property, trade secrets, privacy, and consumer protection.
  • Navigate emerging federal, state, and international requirements affecting AI procurement and governance.
  • Assess evolving AI litigation and enforcement trends and their implications for commercial contracts.
  • Draft and negotiate AI-specific provisions addressing data rights, confidentiality, ownership, warranties, indemnification, liability, and regulatory compliance.
  • Recognize ethical obligations related to attorney competence, confidentiality, and supervision when advising on AI technologies.

Register now for on-demand access and watch the course at your convenience.

Negotiating Generative AI Agreements CLE Agenda

I. Introduction: AI Has Changed Commercial Contracting

  • Evolution from Traditional SaaS to AI-Enabled Services
  • Applicable Legal Framework

II. Understanding AI Technologies and their Legal Significance

  • Machine Learning
  • Generative AI
  • Multimodal AI

III. Data Rights, Intellectual Property, Confidentiality, and Privacy

  • Customer Data Rights
  • Confidentiality and Trade Secret Protection
  • Privacy Compliance

IV. Negotiating Core AI Contract Provisions

  • AI Training Rights
  • Data Ownership
  • Confidentiality
  • IP, Security & Governance

V. Emerging Regulation, Litigation, Ethics, and Enforcement

  • Federal Regulatory Developments
  • International Regulation
  • Recent AI Litigation

VI. Practical Drafting Strategies and Key Takeaways

Speakers

Matthew Minor
Matthew Minor
Attorney
Axiom Law

With deep experience supporting global technology companies and corporate legal teams, Matthew Minor brings a versatile blend of commercial counseling, contract negotiation, and cross-functional leadership. He advises on complex cloud, data security, and SaaS transactions while helping organizations streamline legal processes and improve operational efficiency. Matthew partners closely with product, sales, engineering, and executive stakeholders to drive successful deal outcomes. His background spans both in-house and consulting roles, where he has guided clients through regulatory compliance, privacy, and litigation strategy. He is known for delivering practical, business-aligned legal solutions across a wide range of industries.

Register for Free

 This is a 60-minute CLE program offering up to 1.0 CLE credit. Check your state's accreditation status and requirements here.

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Negotiating Generative AI Agreements CLE Agenda

I. Introduction: AI Has Changed Commercial Contracting

  • Evolution from Traditional SaaS to AI-Enabled Services
  • Applicable Legal Framework

II. Understanding AI Technologies and their Legal Significance

  • Machine Learning
  • Generative AI
  • Multimodal AI

III. Data Rights, Intellectual Property, Confidentiality, and Privacy

  • Customer Data Rights
  • Confidentiality and Trade Secret Protection
  • Privacy Compliance

IV. Negotiating Core AI Contract Provisions

  • AI Training Rights
  • Data Ownership
  • Confidentiality
  • IP, Security & Governance

V. Emerging Regulation, Litigation, Ethics, and Enforcement

  • Federal Regulatory Developments
  • International Regulation
  • Recent AI Litigation

VI. Practical Drafting Strategies and Key Takeaways