Description
About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.
We're looking for a Legal AI Engineer for a fixed engagement to build foundational legal team AI infrastructure. You'll design and stand up these systems, document them thoroughly, and hand them off to the team in a state where they can be maintained and iterated on internally.
Here’s what you’ll do day-to-day during this engagement:
- Connect the AI Stack
Take the skills, workflows, and dashboards that individual team members have already built in Claude and package them into shared, maintainable assets the whole team can use.
- Wire together current AI tooling , build MCP integrations so data flows where it's needed without manual handoffs; engage with Gusto's AIT team on connections where native integrations don't exist.
- Further operationalize AI tools and integrations as agreed upon.
- Build a Legal Repository
Stand up a structured, queryable knowledge layer fed by the team's existing research, positions, precedents, and playbooks , one that can be searched by any team member, can be invoked by automated workflows, and continuously ingests new information as the team works in the tool.
- Implement AI Workflows
Working from priorities set by legal ops and attorneys, implement AI-assisted workflows for the team's highest-volume use cases , likely including contract first-pass review, matter intake and routing, litigation operations to enable intake, routing and response drafting for subpoenas, demand letters and notices and prompt libraries for recurring legal tasks.
- Document and Hand Off
Deliver a maintenance runbook for every system built and train designated team members on administration, so nothing requires the contractor to maintain it after the engagement ends. Establish adoption baselines so the team can measure progress and know what to iterate on next.
Here’s what we're looking for:
- Hands-on experience building and shipping AI-assisted workflows , not evaluating tools or writing specs, but actually standing systems up. Be ready to walk through something you built from prompt to production.
- Direct, working proficiency with Claude or comparable LLMs: prompt engineering, agentic workflows, and iterating on outputs until they're reliable. This is the core technical skill for everything we're building.
- Integration experience , you've wired tools together using APIs, MCPs, or similar patterns, and you know what breaks and why. Coordinating with engineering or IT teams to scope and execute those connections is second nature to you.
- Comfort operating in ambiguity. You can take a business problem and context from attorneys or legal ops , not a technical spec , and turn it into a working system. You know how to ask the right questions, fill in gaps with judgment, and move forward.
- Comfort working within internal technology governance processes. You know how to communicate with an IT or AI team on tool approvals, data access, and security reviews , and you don't try to go around them. You build within the guardrails, and you help the team understand why those guardrails matter.
Compensation will be $150/hr, approximately 20 hours per week, commensurate with experience and expertise. This is a 3-month engagement.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.