Legal Counsel, Deepmind

Google Google · Big Tech · Mountain View, CA +1

Legal Counsel for DeepMind, advising on legal issues related to AI research, development, and commercialization. Responsibilities include drafting agreements, providing legal advice on AI model lifecycles, and supporting legal team initiatives.

What you'd actually do

  1. Draft and negotiate commercial agreements (collaboration, research and development, licensing, services, and procurement) with university, commercial or government partners.
  2. Assist in providing impactful legal advice to a range of functional areas within DeepMind for the smooth and efficient running of the business on a day to day basis.
  3. Advise clients across all phases of the agreement lifecycle, from early stage shaping, to negotiating, to post-sign implementation and compliance.
  4. Advise through the lifecycle of AI model development from ideation, training, testing, validation, publication, commercial and partnership strategy, and open release strategy.
  5. Support the Legal team’s initiatives to manage and track Objectives and Key Results (OKRs), coordinate legal processes, and report on key legal metrics in support of high-level team strategies.

Skills

Required

  • JD, LL.B., equivalent degree, or equivalent practical experience.
  • 3 years of attorney-level (post-qualification) experience in government, in-house, or at a law firm.
  • 3 years of experience negotiating government partnerships or engaged in government procurement agreements or equivalent experience advising on commercial and research matters for a technology company or at a law firm.
  • Admitted to the bar and in good standing or otherwise authorized to practice law (e.g., have registered in-house status) in the state in which the position is located.

Nice to have

  • Experience advising in the frontier AI, national security, cybersecurity, or public sector spaces.
  • Experience advising on AI issues, particularly in partnering with executives on such matters.
  • Experience in life sciences, cybersecurity, materials, or AI within education and healthcare.
  • Understanding of opportunities and risks of AI agents, models and systems.
  • Ability to make judgement calls on a regular basis, and be thoughtful about the real world consequences of those decisions.
  • Ability to work independently and also as part of a highly collaborative team.

What the JD emphasized

  • AI model development lifecycle
  • AI issues
  • AI agents, models and systems