The role is hands on technical work getting a legal AI product running inside customer systems. A strong candidate has deployed and integrated enterprise SaaS before, knows identity and access well, and can connect platforms like Microsoft 365, Google Workspace or Salesforce through APIs. It also calls for someone who can troubleshoot methodically and explain technical choices to customer IT and security teams.
How it fits the AI era
AI agents take on routine legal work while lawyers keep judgement, and this role builds the plumbing that lets those agents reach customer data safely. The integration and permission design still needs a person who can read documentation, test in real environments and handle security reviews. As connectors like MCP mature, the work shifts toward reusable patterns rather than one off fixes.
How it builds AI experience
The job offers direct exposure to MCP connections between AI systems and customer tools, which is still forming as a standard. Building that experience means learning how authentication, permissions and data flow work across enterprise platforms, then applying it to real deployments. Working alongside Legal Engineers shows how agents and workflows depend on the integrations underneath them.
Worth showing
- SSO and SCIM setup
- Microsoft 365 integration
- API and webhook work
- Customer security reviews
This is our own read, written from the employer’s posting and the company’s Spotlight. The employer’s posting is the source of truth for the role.
About Wordsmith
Contract drafting, review and research agents built for the in-house legal team, not the law firm.
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