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 roleAs 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:
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