Legal AI Engineer

Location: New York

It's fun to work at a company where people truly believe in what they are doing!
*
* 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.
** What You’ll Do
**** 1. Build and Shape Legal Datasets
*** 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.
** 2. Drive Product and Use-Case Definition
*** 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.
** 3. Engage Directly With Clients
*** 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.
** 4. Prototype, Hack, and Build
*** 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.
** 5. Execute Reliably in a Fast, Ambitious Environment
*** 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.
** Who You Are
**** Required Background**
* ** 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.
** Technical / Product Orientation
*** 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.
** Mindset**
* ** 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.
** Bonus Skills
*** 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…