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Epiq is seeking a Legal Engineer in New York to join a values‑driven team focused on the intersection of law, product, and AI. You will work with scientists, engineers, and counsel to shape datasets, define use‑cases, and translate complex legal concepts into scalable AI workflows.
The role emphasizes execution, curiosity, and collaboration across legal and technical teams, delivering meaningful impact at scale.
At Epiq, your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.
Job Description:
We’re looking for a rare hybrid: an attorney with real experience in corporate legal work -- litigation, investigations, regulatory/compliance -- and who is equally energized by technology, AI, and building things.
As a Legal Engineer, you will work side‑by‑side with scientists, engineers, and product leaders to build the next generation of AI systems for in‑house legal teams and law firms. You will use your legal expertise and your technical instincts to shape datasets, workflows, capabilities, and use‑cases that truly reflect how legal work is done in the real world.
This is not a passive advisory role. It’s an applied, creative, and execution‑heavy position at the intersection of law, product, AI research, and user experience.
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.
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‑color, 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