Legal AI Engineer (Contractor)

Gusto

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San Francisco, CA - Hybrid; Denver, CO - Hybrid; New York, NY - Hybrid; United States - Remote First seen 1 day, 2 hours ago Last seen 2 hours, 11 minutes ago Greenhouse

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Job Description

AI Summary

• Design and build foundational AI infrastructure for Gusto's legal team, transforming individual Claude experiments into robust, shared systems with documentation for internal maintenance • Create MCP integrations to connect AI tools and enable seamless data flow, and establish a structured legal knowledge repository that team members can search and automated workflows can access • Work as a contractor on a fixed engagement reporting to the Senior Manager of Legal Contracting Operations & AI Systems, combining legal domain expertise with technical infrastructure skills • Deliver documented systems, runbooks, and workflows that are fast, measurable, and safe based on specifications from legal stakeholders and cross-functional partners • Ideal candidate has hybrid legal/technical background who can translate legal work into scalable systems and bring fluency with AI tools like Claude and modern infrastructure practices

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. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

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.

You'll provide services to a legal team that is already building its own AI tooling and infrastructure through Claude. Your engagement will be with the Senior Manager of Legal Contracting Operations & AI Systems. Your project will be to add the technical depth that turns promising experiments into robust, shared systems, and to deliver a coherent stack of tools and workflows.

During this engagement, you'll design workflows that are fast, measurable, and safe based on specifications from legal, legal ops, and cross-functional stakeholders. You'll leave behind documented systems and run books so the team can maintain and evolve what you've built. This engagement is equal parts legal infrastructure + applied AI, ideal for a hybrid legal/technical practitioner who can translate legal work into scalable systems and then make those systems real.

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.
Bonus: Experience working alongside attorneys: you understand contracting workflows, matter intake, research cycles, and how legal teams make decisions.

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). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

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. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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Job Information

Company:
Gusto
Location:
San Francisco, CA - Hybrid; Denver, CO - Hybrid; New York, NY - Hybrid; United States - Remote
Job Type:
Internship
Work Location:
Remote
Experience Level:
Mid
Source:
Greenhouse
Status:
Active

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73 /100

Likely Active (73)

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