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Negotiating Generative AI Agreements: 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

Generative artificial intelligence is transforming enterprise software contracting and fundamentally changing how attorneys assess contractual risk. AI-enabled technologies—including machine learning, large language models, and generative AI systems—introduce novel legal issues involving intellectual property, confidentiality, privacy, data governance, regulatory compliance, liability allocation, and professional responsibility.

This program provides attorneys with a substantive legal framework for negotiating AI-enabled technology agreements by examining applicable contract law principles, federal and state privacy laws, intellectual property doctrines, trade secret protections, regulatory developments, and recent AI litigation. Participants will apply these legal authorities to the practical negotiation and drafting of commercial AI agreements.

Upon completion of this program, participants will be able to:

  • Analyze how generative AI alters traditional contract risk allocation in commercial technology agreements.

  • Apply common law contract principles and statutory authorities to negotiate AI-enabled SaaS agreements.

  • Evaluate AI-related contractual provisions under applicable intellectual property, trade secret, privacy, and consumer protection laws.

  • Interpret emerging federal, state, and international regulatory requirements affecting AI procurement and governance.

  • Assess evolving AI litigation and enforcement trends and their impact on commercial contracting.

  • Draft and negotiate AI-specific contractual provisions governing data rights, confidentiality, ownership, warranties, indemnification, liability allocation, and regulatory compliance.

  • Identify ethical obligations relating to attorney competence, confidentiality, and supervision when advising clients regarding AI technologies.

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.

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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