Prior Labs
Technology
LegalCounsel
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Legal Counsel at Prior Labs. Skills: Commercial contracts, Intellectual property, Data privacy, Corporate governance. Be single point of contact. Triage legal requests”
Industry & Context.
What They're Looking For.
Must Have
3+ years in-house counsel, Owned major corporate transaction, Negotiated commercial agreements directly, Managed external counsel, Built legal function at early-stage company, Operate across EU/German and US legal frameworks
Nice to Have
Open-source licensing experience, Software IP experience, Cap table management experience
What You'll Do.
Be single point of contact
Triage legal requests
Manage external counsel
Own legal workstream from SAP acquisition
Manage corporate structure
Manage governance documentation
Manage legal relationship with parent company
Own commercial contracting end-to-end
Negotiate vendor agreements
Build standard template library
Build legal function from ground up
Build contract management system
Build internal escalation playbook
Define Prior Labs' IP posture
Protect Prior Labs' IP posture
Define open-source legal posture
Protect open-source legal posture
Manage licensing strategy
Manage contributor agreements
Bring in specialist external counsel
Manage specialist external counsel
How You'll Work.
Team & Collaboration
Work with COO; Work with external counsel
Full Job Description
WHO WE ARE Foundation models have transformed text and images, but structured data - the largest and most consequential data modality in the world - has remained untouched. Tables power every clinical trial, every financial model, every scientific experiment, every business decision. No one has built a foundation model that truly understands them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening - and we're hiring the team that makes it. Momentum: We pioneered tabular foundation models and are now the world-leading organization in structured data ML. Our TabPFN v2 model was published in Nature https://www.nature.com/articles/s41586-024-08328-6 and set a new state-of-the-art for tabular machine learning. Since its release, we've scaled model capabilities more than 20x, reached 3M+ downloads, 6,000+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics https://www.oxcan.org/news/prior-labs-and-oxford-cancer-analytics-partner-to-advance-liquid-biopsy-and-clinical-decision-making-in-lung-disease to preventing train failures with Hitachi https://siliconangle.com/2025/12/01/prior-labs-debuts-tabular-ai-foundation-model-scales-10-million-rows/ to improving clinical trial decisions with BostonGene https://priorlabs.ai/case-studies/boston-gene. The hardest work is in front of us. We're scaling tabular foundation models to handle millions of rows, thousands of features, real-time inference, and entirely new data modalities - while building the infrastructure to deploy them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team: We’re a small, highly selective team https://priorlabs.ai/about of 20+ engineers, researchers and GTM specialists, selected from over 5,000 applicants, with backgrounds spanning Google, Apple, Amazon, Microsoft, G-Research, Ja
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