Legal Solutions Engineer NYC

Wordsmith AI•New York, NY

3d•Onsite

About The Position

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. More than 500 companies, including Financial Times, Safelite, Trip.com, Canva, Starling, and Sage, use Wordsmith. Backed by $100M from Index Ventures, General Catalyst, Highland Europe, and others, we are building one of the defining companies in legal AI.

Requirements

Experience in legal tech, legal operations, or process transformation
Strong understanding of how in-house legal teams work
Ability to manage customer projects and guide stakeholders through change
Comfortable working across legal and technical domains
Structured thinker — you can turn messy processes into clear systems
Strong communication skills and confidence working directly with customers
Legal Engineers
Legal Operations professionals
Lawyers who have moved into legal tech
Implementation or solutions consultants in SaaS with a legal background

Responsibilities

Lead implementation projects for new customers
Design workflows and automation tailored to each organisation
Configure the platform to support real legal use cases
Work directly with legal teams and Legal Ops leaders to understand how they operate
Translate legal processes into structured workflows and AI-enabled automation
Advise on best practices for implementing legal technology
Support onboarding and early adoption
Help customers expand into additional workflows and use cases
Partner with Account Management to identify growth opportunities
Surface patterns, insights, and recurring requests to Product and Engineering
Help shape how the product evolves based on real usage