Legal Intern (AI Infrastructure)

Location: San Francisco, CA; on-site

Company

Builds a multi-silicon neocloud for fast, efficient AI inference by combining large-scale compute infrastructure with an execution platform that maps AI workload stages to suitable hardware.

What you will do

• Conduct legal research and prepare practical summaries for legal and business stakeholders.
• Review and organize commercial agreements, corporate records, and transaction materials.
• Support diligence for infrastructure, financing, partnership, and other strategic matters.
• Track contract terms, obligations, approvals, and follow-up items.
• Develop legal templates, playbooks, trackers, and internal processes.
• Collaborate with Legal, Finance, Operations, Infrastructure, and Go-to-Market teams.

Requirements

• Current enrollment in an accredited JD program.
• Strong legal research, analytical, writing, communication, and information-synthesis skills.
• Excellent attention to detail and organizational ability.
• Sound judgment and discretion when handling confidential information.
• Ability to work independently, ask thoughtful questions, and manage multiple priorities.
• Interest in technology, commercial transactions, corporate law, or infrastructure.

Nice to have

• Coursework in contracts, corporations, intellectual property, privacy, or technology law.
• Experience at a law firm, in-house legal team, government agency, clinic, or legal research organization.
• Familiarity with commercial contracts, corporate governance, diligence, or legal operations.
• Interest in AI, cloud infrastructure, data centers, semiconductors, or emerging technology regulation.
• Experience building trackers, templates, knowledge bases, or other work-improvement systems.

Culture & Benefits

• Hands-on exposure to legal issues in AI infrastructure and emerging technology.
• Work across cloud services, data centers, hardware procurement, strategic partnerships, intellectual property, and regulation.
• Opportunity to support production technology, new hardware, customers, and data centers.
• Meaningful work focused on solving complex technical and business problems.