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New York, New York, United States
Onsite
Wordsmith is building the legal operations platform for in-house teams, and we are growing fast.
We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across inboxes, chats, documents, and disconnected systems.
Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgment matters, and every step is captured as work happens.
We are built for in-house legal, not law firms. Our goal is to help legal teams move faster, reduce unnecessary external counsel spend, and become a function the business can run with.
Legal engineers are how Wordsmith wins: lawyers who shape the product, deploy it with customers and prove what AI can do for an in-house team. The best of them are not looking for jobs. They're senior associates, in-house counsel and legal ops leads who haven't yet heard a strong case for leaving law. You'll find them, assess both their legal judgment and their technical aptitude, and convince them this is the next step in their career. This is not a coordination role.
Deliver bar-raising legal engineers each quarter
Own a robust, fair and fast recruiting process that is optimized to hire the best talent vs the best interviewers.
Map legal talent across law firms, in-house teams, legal ops and legal tech, and build pipelines before roles open
Assess what matters: legal judgment, comfort with AI and data, and the ability to work with customers and engineers
Work with stakeholders on how the archetype of who we hire changes as the market does
Report on your funnel every week and fix what the data shows
5+ years of full-cycle recruiting, with at least some exposure of hiring in legal
You are quick at onboarding into a new area; you are able to get a deep understanding of a new role and/or new area and quickly present yourself as a knowledgeable voice
A track record you can put numbers on: hires per quarter, offer acceptance, how your hires performed
Most of your recent hires sourced by you
Fluency with Ashby or a similar ATS, and real use of AI in your own workflow
Hired for a legal tech or AI company
Hired hybrid roles that blend a profession with product or engineering
A legal background yourself
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