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Lambda

Cloud-based GPU services for AI training

Legal Intern

Legal Counsel & Legal SupportConfirmed live in the last 24 hours
Internship · Fall 2026San Francisco, CA, USA$38 - $48 /hr

About the Job

Requirements

  • Currently pursuing a Juris Doctor degree; second- or third-year law students are preferred.
  • Completed contracts coursework.
  • Strong legal writing and analytical skills.
  • Comfortable working with artificial intelligence-assisted tools such as Claude, or eager to learn them.
  • Able to work at least one day per week in the San Francisco office.

Responsibilities

  • Support the Commercial and Corporate Legal teams as a generalist, gaining hands-on in-house experience.
  • Support the team on transactions in its pipeline.
  • Draft and validate an NDA and vendor-agreement triage playbook with clear green/yellow/red classification criteria and escalation paths.
  • Build and annotate a clause and template library reflecting the company's standard and fallback contract positions.
  • Use Claude or other artificial intelligence tools to build and test an intake workflow that produces first-pass issue-spot summaries for counsel review.
  • Draft a library of response templates for routine counterparty negotiation requests.
  • Assist with onboarding the company on a new contract lifecycle management platform.

Desired Qualifications

  • Prior internship at a law firm or in-house legal team.
  • Experience with corporate and securities law, commercial agreements, or technology agreements.
  • Familiarity with contract lifecycle or legal workflow tools.

About the Company

Lambda

Cloud-based GPU services for AI training

Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$9.1B
Headquarters
San Jose, CA
Founded
2012

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