
Zeno turns legal information into actionable insight, streamlining research and document analysis for modern legal teams and firms. Work smarter, scale your legal expertise, and create space for what truly matters.

Zeno turns legal information into actionable insight, streamlining research and document analysis for modern legal teams and firms. Work smarter, scale your legal expertise, and create space for what truly matters.
Headquarters: Netherlands (Rotterdam)
Product: AI-driven legal intelligence platform for research, document analysis and drafting
Founded: 2024
Seed funding: €2M (Apr 22, 2025) led by Chris Oomen
Team size: ~22–26 employees
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Legal research, contract review, due diligence, and document analysis for law firms and legal teams.
2024
Information Services
€2M
“Led by Chris Oomen (founder of Optiver)”
Zeno is a legal AI startup building a platform that helps lawyers research, review, and draft documents with real legal reasoning — not just text prediction. Our ambition isn’t just to “use LLMs in legal”, but to do research on what it means to represent, evaluate, and reason over law as a system .
We’re building technology that can retrieve statutes/case law precisely, apply legal tests step-by-step, and explain every answer transparently. Achieving that requires more than scaling models — it requires rigorous experimentation, strong evaluation methodology, and principled knowledge representations in a domain where ground truth is incomplete and correctness is non-negotiable.
We’re hiring a Senior/Staff Research Engineer to drive research at the intersection of LLM-heavy systems, knowledge representation, evaluation , and legal reasoning , contributing directly to both product quality and a deeper computational understanding of the legal system.
About The Role As a Research Engineer at Zeno, you work on core methodological problems at the intersection of LLM-heavy systems, knowledge representation, evaluation, and legal reasoning.
This is a research-driven role. You’ll tackle problems where:
Your responsibility is to turn vague or ill-defined questions into measurable systems that improve over time, and to build the experimental infrastructure that makes that progress durable.
This role closely resembles Research Engineer or Applied Scientist roles at large tech companies or industrial research labs, with direct impact on a real, high-stakes product.
What You’ll Work On
Who You Are
Nice to have
Why this role You’ll work with meaningful compute, highly protected research time, and a team that cares about rigor. Your work will directly shape how we define correctness in legal AI, and how law can be modeled as a coherent system that machines can navigate, reason over, and explain.
Join us on our mission to unify the legal systems of the world. We’re building the foundations of a more connected and intelligent legal ecosystem. You’ll work on systems that meaningfully improve how the law is applied across jurisdictions.
You’ll have ownership, autonomy, and the space to go deep on hard problems alongside a strong team of engineers and researchers. This is an environment for people who enjoy building from first principles, iterating quickly, and seeing their work move from concept to production.
If you’re motivated by purpose, intellectual challenge, and the opportunity to shape the future of law at a foundational level, we’d love to build this with you.
Why join us