Legal AI Engineer

Epiq is a company that contributes to complex, global legal outcomes through innovative solutions. They are seeking a Legal AI Engineer who will combine legal expertise with technology to build AI systems that support in-house legal teams and law firms.

Responsibilities:

• Design and synthesize realistic corpora representing litigation, investigations, compliance, ECA, privilege review, and corporate workflows
• Generate and annotate training and benchmarking datasets for AI models
• Partner with ML teams to define task specifications, evaluation metrics, and model requirements grounded in real legal use-cases
• Ideate, refine, and validate new product capabilities based on authentic attorney workflows and pain points
• Translate legal processes into structured workflows, runbooks, and agentic patterns for the AI platform
• Critically evaluate proposed features for real-world feasibility, risk, defensibility, and legal accuracy
• Join client conversations, demos, and sales meetings to translate technical concepts into language that resonates with attorneys
• Help articulate the value, differentiation, and defensibility of the platform to in-house counsel and law firm partners
• Collaborate with marketing to craft content, examples, demos, and narratives that speak to legal audiences
• Use AI tools, scripting, and light coding to prototype workflows, simulate datasets, or mock up product ideas
• Move quickly from concept → prototype → feedback → refinement
• Contribute to documentation, testing scenarios, and internal tools that accelerate the pace of innovation
• Deliver high-quality work under deadlines
• Go deep, learn quickly, and iterate with the engineering team
• Contribute to a culture of creativity + hard execution -- big ideas paired with disciplined follow-through

Requirements:

• JD + active or prior bar membership
• 2–8+ years practicing law, ideally in one or more of: Litigation, Government or internal investigations, E-discovery / document review oversight, Compliance, regulatory, white-collar, ECA
• Deep familiarity with real workflows: privilege review, deposition prep, investigations, custodian interviews, factual development, matter management, etc
• Fluent in technology; comfortable working with engineers and product teams
• Ability to write simple scripts, prompt LLMs effectively, analyze outputs, or use AI tools creatively
• Strong instinct for how legal reasoning maps to data, rules, workflows, and model behavior
• Curiosity about how AI models work and desire to build systems that outperform today's legal tech
• Hacker mentality: scrappy, curious, willing to experiment and build
• High execution: able to go heads-down and deliver
• Creative + rigorous: big ideas combined with legal defensibility and precision
• Motivated by building something new—not just using tools, but helping invent the next generation of them
• Comfortable in ambiguity, fast iteration, and rapid feedback cycles
• Experience in e-discovery platforms, investigative workflows, or doc review management
• Exposure to ML/AI concepts, synthetic data generation, or structured knowledge representation
• Prior experience in legal tech, product design, research, or innovation-focused roles