Kieran Dwyer

Kieran Dwyer advises cloud providers and technology companies on technology transactions and partnerships, product development, artificial intelligence (AI), and regulatory compliance. He works with businesses across software, telecommunications, consulting, health care, financial services, and energy industries, working closely with go‑to‑market, product, and partner teams. Kieran’s practice covers cloud agreements, strategic partnerships, AI development and deployment, privacy and data protection, competition law, cybersecurity, digital advertising, software and open-source licensing, IT outsourcing, and international expansion. He also engages with regulators on matters involving data use, technology interoperability, and competition, including inquiries by data protection authorities, the FTC, and U.S. congressional and agency staff.

On the commercial side, Kieran structures and negotiates cloud services agreements, channel and resale arrangements, strategic collaborations, and product co‑development engagements. He has experience developing contracting frameworks tailored to regulated industries and partner ecosystems. Kieran has led teams in negotiating multiple strategic deals valued at more than $1 billion, spanning industries such as telecommunications, financial services, automotive, logistics and supply chain, payments, and sports and media. That work includes product development initiatives involving 5G network architectures, intelligent vehicle data platforms, cybersecurity, large‑scale application migrations, and data analytics.

Kieran has been advising clients on AI since 2017. He supports AI and machine learning service launches, including drafting service terms, developing responsible AI policies, and advising on marketing and privacy compliance. In addition to his legal and advisory work, Kieran brings experience as a business executive, having led AI adoption for an organization of more than 6,000 employees. He was responsible for AI productivity and change management initiatives, and working closely with engineering teams on the design and development of AI tools.