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3811

Moritz Hardt

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Moritz Hardt
CEO & Co-Founder of
Grubel (2026)
About

Moritz Hardt is Co-Founder of Grubel, a cutting-edge AI research lab automating AI specialisation for complex legal work, and serves as Director of the Social Foundations of Computation department at the Max Planck Institute for Intelligent Systems.

Before founding

Hardt earned his PhD in Computer Science from Princeton University, then built an elite research career spanning IBM Research, Google Brain, and a professorship at UC Berkeley in Electrical Engineering and Computer Sciences.

Founder Insights

A pioneer in responsible AI, Hardt co-founded the Workshop on Fairness, Accountability, and Transparency in Machine Learning and co-authored two landmark textbooks published by MIT Press and Princeton University Press.

Experience

Hardt has co-developed test-time training and co-authored Lawma, a foundational legal AI model, bringing deep research credibility to Grubel's mission of specialising AI for high-stakes professional domains.

Scale & Impact

Grubel raised 3M euros in pre-Seed funding led by Point Nine, with backing from luminaries including Jeff Dean, Chris Re, Ion Stoica, and the co-founders of Harvey, signaling strong conviction in the team's research-first approach to legal AI.

3811

Moritz Hardt

Grubel
Founder
Logo
Moritz Hardt

Company(s)

Grubel

Industry

SaaS

Year Founded

2026

Stage/Funding

Pre-Seed • $3M

Company Location

de

Connect

About

Moritz Hardt is Co-Founder of Grubel, a cutting-edge AI research lab automating AI specialisation for complex legal work, and serves as Director of the Social Foundations of Computation department at the Max Planck Institute for Intelligent Systems.

Before founding

Hardt earned his PhD in Computer Science from Princeton University, then built an elite research career spanning IBM Research, Google Brain, and a professorship at UC Berkeley in Electrical Engineering and Computer Sciences.

Founder Insights

A pioneer in responsible AI, Hardt co-founded the Workshop on Fairness, Accountability, and Transparency in Machine Learning and co-authored two landmark textbooks published by MIT Press and Princeton University Press.

Experience

Hardt has co-developed test-time training and co-authored Lawma, a foundational legal AI model, bringing deep research credibility to Grubel's mission of specialising AI for high-stakes professional domains.

Scale & Impact

Grubel raised 3M euros in pre-Seed funding led by Point Nine, with backing from luminaries including Jeff Dean, Chris Re, Ion Stoica, and the co-founders of Harvey, signaling strong conviction in the team's research-first approach to legal AI.

About

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