Zach Harned
415-875-2243
zharned@fenwick.com
Associate
Intellectual Property
Zach
Harned
Zach
Harned
Zach
Harned
Associate
Intellectual Property

Zach advises on a broad variety of intellectual property, technology transactions and commercial matters for clients in the technology, artificial intelligence and machine learning (AI/ML), digital health and life sciences industries. He also counsels clients on technology, IP, and open source aspects of venture financings and mergers and acquisitions. Prior to his career in the law, Zach worked as a mental health professional serving combat Veterans with PTSD at the US Department of Veterans Affairs.

• Amazon

• Andreessen Horowitz

• Dawnlight

• DocuSign

• Evidation Health

• GGV Capital

• Menlo Ventures

• Meta

• Notable Health

• OpenAI

• Sempre Health

• Woebot

• Amazon

• Andreessen Horowitz

• Dawnlight

• DocuSign

• Evidation Health

• GGV Capital

• Menlo Ventures

• Meta

• Notable Health

• OpenAI

• Sempre Health

• Woebot

• Lessons from the Axon AI Ethics Board Resignation, Fenwick IP Bulletin (2022).

• Artificial Intelligence: Deepfakes in the Entertainment Industry, WIPO Magazine (2022).

• FDA, AI/ML, and Medical Devices, Stanford AIMI Center (2022).

• Commercialization and Licensing of Medical AI (panelist), Stanford AI + Healthcare Conference (2021).

• Legal Considerations for AI in Healthcare (panelist), Stanford AIMI Center (2021).

• Stretching Human Laws to Apply to Machines: The Dangers of a 'Colorblind' Computer, Florida State Law Review (2020).

• Machine Vision, Medical AI, and Malpractice, Harvard Journal of Law & Technology Digest (2019).

• Lessons from the Axon AI Ethics Board Resignation, Fenwick IP Bulletin (2022).

• Artificial Intelligence: Deepfakes in the Entertainment Industry, WIPO Magazine (2022).

• FDA, AI/ML, and Medical Devices, Stanford AIMI Center (2022).

• Commercialization and Licensing of Medical AI (panelist), Stanford AI + Healthcare Conference (2021).

• Legal Considerations for AI in Healthcare (panelist), Stanford AIMI Center (2021).

• Stretching Human Laws to Apply to Machines: The Dangers of a 'Colorblind' Computer, Florida State Law Review (2020).

• Machine Vision, Medical AI, and Malpractice, Harvard Journal of Law & Technology Digest (2019).

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