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Legal Engineer

At a glance

Salary
Not published
Location
Prague
Work type
Hybrid
Posted
8w ago
Verified live
today

How the pay compares

This posting doesn't publish pay. 1,880 of the 3,743 AI-engineering roles worldwide on this board do: the middle half pay $170k–$275k, with a median of $223k. Too few roles in Czechia publish pay for a local comparison, so this is every country together — mostly US pay.

Middle half of the 1,880 that publish payMedian10th–90th percentileAnnual, USD

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Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.

Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.

Our AI and Machine Learning teams build systems that help legal professionals reason over case data, understand documents, generate work products, retrieve grounded answers, and automate high-value legal workflows. This work requires strong technical execution, but also deep legal judgment. We need people who can help define what high-quality legal AI output looks like and ensure our systems work in the context of real legal practice.

We’re looking for a Legal Engineer to work closely with our Machine Learning Engineers, Product, Software Engineering, and Data Annotation teams. This role sits at the intersection of legal practice, AI product development, data quality, and model evaluation. It is not a traditional legal counsel role; we want someone who can translate legal workflows into clear product and ML requirements, evaluate model behavior, identify legal edge cases, and help build AI systems that legal professionals can trust.

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