Overview

Corvane Ryle's multidisciplinary Artificial Intelligence practice advises the companies that develop, deploy, finance and regulate AI. We work across the full AI stack, from semiconductors and cloud infrastructure to foundation models, enterprise applications and the consumer products that put them in people's hands.

Our lawyers sit in the technology transactions, regulatory, intellectual property, privacy, antitrust and finance practices, and they work as a single team. That matters because AI problems rarely stay in one lane: a training data question is also a copyright, privacy and contracting question, and a product launch is also a consumer protection and competition question.

The regulatory landscape is moving quickly. The EU AI Act is now phasing in, with prohibited practices and AI literacy duties already applicable, obligations for general-purpose AI models in force since August 2025, and high-risk system requirements following on a staggered timetable. In the United States, state laws such as the Colorado AI Act and the Texas Responsible AI Governance Act sit alongside federal agency guidance and active FTC scrutiny of AI claims. We help clients build one governance program that holds up across all of them.

Daniel Achterberg, Global Chair of our AI Practice, leads a group of more than 150 lawyers across San Francisco, New York, London, Brussels, Singapore and Frankfurt. Together they advise on first-of-their-kind transactions and on the day-to-day decisions that determine whether an AI program scales safely.

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AI Resource Hub

Explore our insights on the commercial, regulatory and legal developments shaping the rapidly evolving AI landscape.

Areas of focus

Representative experience

  • Advised a leading AI chip designer on a multi-year, multi-billion-dollar wafer capacity and packaging agreement.
  • Advised Kestrel Systems, an AI chip designer, on its strategic supply and licensing arrangements with hyperscale cloud customers.
  • Counseled a global consumer platform on EU AI Act classification and conformity planning across 30 AI-enabled features.
  • Represented a model developer in negotiating enterprise licensing terms covering training data rights, indemnities and output ownership.
  • Advised a NYSE-listed specialty retailer on governance for generative AI used in advertising, customer service and pricing.
  • Defended a software company against copyright claims relating to training data.