We're looking for an Applied AI Attorney to define what "good" means for our product - and then build it. Sitting inside our R&D team alongside AI engineers, you'll shape how our agents reason about legal work, decide how features should behave in the messy cases that matter, and turn years of legal judgment into systems that can reason, decide, and execute at scale.
You'll become one of our customers. Every day you'll step into the shoes of an experienced in-house lawyer, recreating real commercial work, challenging the product with difficult negotiations, ambiguous requests, and unexpected edge cases, and helping transform those insights into product that legal teams trust.
You're not reviewing outputs from the sidelines; you're deciding what the product should do and driving it there. If you're a practicing lawyer who'd rather build the system than use it, we'd love to hear from you.
What You'll Do
Own the legal quality of the product - you set the bar our agents are held to and have the mandate to continuously raise it
Design the evaluation systems that prove we're getting it right, enabling the team to ship quickly with confidence
Define how features should behave: what great contract analysis looks like, which edge cases matter, where the product should push back instead of guessing, and how an exceptional in-house lawyer would approach the problem
Act as one of our customers by recreating real legal workflows, testing complex scenarios, and uncovering edge cases before they reach production
Work hands-on with prompts, agent instructions, and workflow design alongside our AI engineers
Diagnose why an output fell short - weak retrieval, incorrect reasoning, missing context, or flawed workflow design - and drive the solution with the engineers who own it
Bring real legal work into the product by creating the scenarios, datasets, and reference material our agents are built and evaluated against
Influence the product roadmap with a practitioner's perspective on where legal teams actually lose time, introduce risk, and need better automation
Partner closely with product, engineering, and customer-facing teams to continuously improve how our AI systems perform in the real world.
Requirements: 5-10 years of legal experience, preferably as in-house counsel in a high-growth B2B SaaS company
Licensed to practice law, with substantive depth in commercial contracts, transactional work, privacy, compliance, or regulatory counseling
Passion to own and deliver - you take full responsibility for the quality of what ships and drive problems from symptom to resolution
Curiosity and adoption of AI tools - you already use LLMs in your legal work and have strong opinions about where they succeed and where they break
Product instincts - you can translate legal judgment into clear product behavior, evaluation criteria, and specifications that engineers can build against
Comfort with ambiguity and unfamiliar technical territory, with the ability to learn quickly
Strong communication skills and the ability to collaborate directly with engineers in a fast-paced startup environment
Bonus Points
Familiarity with prompt engineering, RAG, or agentic workflows
Previous product experience, or having built internal tooling as a lawyer
Early-stage startup experience
In-house legal experience.
This position is open to all candidates.