AI·Seed·San Francisco, California

Legal Engineer

at OneGC — AI

Location

San Francisco, California

Salary

$185,000 - $225,000

Type

Full-Time

TL;DR

PM-meets-sales-engineer for legal, not deep coding
JD strongly preferred; or PM from a legal-AI startup

About OneGC

OneGC is building the legal function startups actually need, proactive and reactive, from inception through pre-IPO. The founder’s thesis comes from lived pain: his last company spent about $2.5M on big-law counsel over four and a half years, and he found big firms are great for tentpole moments (a big financing, M&A, major litigation) but a poor day-to-day partner, where an early-stage client is often paying $1,200/hour for a first- or second-year associate. OneGC gives companies always-on access to lawyers plus tooling that keeps them on the rails, similar to what Vanta did for SOC 2 or Rippling for hiring and firing, but for legal. The platform maps all 50 states’ employment laws (kept updated), generates custom legal workflows and documents largely via LLMs, monitors every client’s legal health (stale 409A, overdue board meetings, weak IP clauses, equity issued without board consent), and includes a full CLM with a rebuilt, licensed e-signature platform so a company can run its whole legal life in one place. Lawyers are there to review and handle what clients can’t self-serve. Traction is strong: since July they onboarded about 50 new clients in roughly 75 days and crossed $1M in revenue, with a demo-to-signing close rate over 50%. Growth is so fast that Evan has had to throttle it. They raised from well-known investors.

onegc.com

Website

Seed • 1 – 10

Stage & size

Industry

2026

Founded

About This Role

The Legal Engineer is the conduit between customers, the legal team, and the engineering team: they own the front end and the end result, take onboarding and customization calls, customize the platform for each customer (building custom workflows, often around a client’s commercial contracts, in an hour or less using the existing LLM tooling), and when the lawyers need something, they define it, scope it, and hand tickets to engineering, then own delivery, testing, and output quality. This is post-sales work with existing clients.

The “engineering” here is about speaking the product language and bridging lawyers and engineers, not writing data pipelines or production code. Gabe framed it as a technical-product-manager vision applied to legal. Coding is effectively solved by the tooling and the core engineers; what they need is someone who can understand a legal problem, translate it into workflows and product, and own the result. Evan’s ideal is “a PM meets a sales engineer, focused on the legal aspects of the world.” They want someone AI-fluent (not someone they have to teach AI tooling to), who thinks in systems (“if I’ve done this once, let me build a repeatable mechanism”), asks the right questions to find what a customer really needs, and can listen for signal in the noise from both customers and the internal legal team.

On background, Evan has a strong preference for a JD (he wouldn’t fully rule out a non-JD, but strongly prefers it), with at least some startup legal experience, ideally in-house/transactional, who has moved toward a product motion. They do not need to be a world-class lawyer or engineer. Two archetypes both qualify: a former lawyer (JD, some startup exposure) who moved into product, or a strong product manager from a top legal-AI startup (Harvey, Legora).

Requirements

JD strongly preferred (ideally with some startup legal experience, in-house/transactional); at minimum real startup legal exposure
Product-minded: can understand a legal problem, translate it to workflows and product, and own delivery end to end
AI-fluent (uses AI tooling fluently; no need to be taught)
Systems thinker who builds repeatable mechanisms
Asks the right questions; strong at eliciting what customers and lawyers really need
Some technical background helpful (to speak the product/engineering language); not a deep coding role

Signal (Evan/Gabe’s stated)

Experience at a legal-tech / legal-AI company (Harvey, Legora, or one of the ~70-80 smaller legal-tech startups, which are easier poaches)
A former startup in-house lawyer who moved into product
Worked on something adjacent to what OneGC is building (big win)
High agency, high slope, ex-founder or very-early-at-a-company background

Who Will Thrive Here

A lawyer-turned-product person who wants to own a legal product end to end, not practice law
A PM from a legal-AI company who can speak both the lawyer and engineer languages
A high-agency builder who figures out their own way without a guidebook
Someone who wants real room to grow (toward head of legal engineering or a forward-deployed customer-success leader)

Job Details

Experience

3-7 Years

Salary

$185,000 - $225,000

Equity

0.1% - 0.5%

Visa Sponsorship

Limited

Employment Type

Full-Time

Work Arrangement

Hybrid

Work Intensity

9-9-5

Benefits & Perks

No benefits listed yet.

Green Flags

JD plus startup in-house legal, then a product move

PM at a legal-AI company who saw scale

Built something adjacent to OneGC

Red Flags

Deeply technical but no product focus; can’t explain what they built

Wants a solo project in a corner; won’t be in office

Big-company-only career

Candidate scorecard

· 4 criteria

JD strongly preferred; some startup legal experience

Product-minded; owns delivery end to end

AI-fluent; systems thinker (repeatable mechanisms)