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Wordsmith AI

Legal operations platform for in-house teams

Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Hands-on experience deploying and integrating enterprise SaaS in customer environments.
  • Strong working knowledge of identity and access, including SSO (SAML, OIDC), SCIM provisioning, and Okta, Entra ID, or Google Workspace.
  • Experience integrating with the Microsoft 365 and SharePoint, Google Workspace, or Salesforce ecosystems.
  • Comfort with APIs, webhooks, authentication flows, and technical documentation, with ability to script or write code where useful.
  • Familiarity with MCP or other methods of connecting AI systems to tools and data, or a strong appetite to learn.
  • Ability to answer customer IT and security teams’ questions and stand behind the proposed architecture.
  • Methodical troubleshooting ability, including isolating, reproducing, and fixing problems.
  • Ability to explain technical decisions to non-technical stakeholders.

Responsibilities

  • Own integrations for each deployment, including SSO and SCIM, Microsoft 365, SharePoint and OneDrive, Google Workspace, Salesforce, document management, and chat tools.
  • Configure and connect Wordsmith to customers’ wider AI and data stack through MCP.
  • Build, test, and harden integrations so they perform reliably in production.
  • Set up identity and access, including SSO with Okta, Entra ID, and Google, user provisioning, roles, and permissions.
  • Work through customers’ security reviews, IT questionnaires, and data-handling requirements.
  • Ensure permissions in Wordsmith respect permissions in connected systems.
  • Take technical handover from Sales and confirm the customer’s systems landscape, constraints, and integration scope.
  • Design how data, documents, and requests flow between Wordsmith and customer tools.
  • Advise customer IT on suitable architecture for their environment and explain trade-offs.
  • Work with Legal Engineers to agree on integration support for workflows, agents, and playbooks they configure.
  • Lead the technical workstream of each deployment, from environment setup and integration build through testing to go-live.
  • Diagnose and fix integration issues and act as the escalation point for technical problems during rollout.
  • Identify problems that require Engineering and provide a clear, reproducible case.
  • Turn integration learnings into reusable integration patterns, setup guides, and technical runbooks.
  • Feed connector gaps, API limitations, and recurring requests back to Product and Engineering.

Desired Qualifications

  • Familiarity with MCP or other ways of connecting AI systems to tools and data, or a strong appetite to learn.

About the Company

Wordsmith AI

Legal operations platform for in-house teams

Wordsmith AI provides a legal operations platform for in-house teams that acts as a single front door for all legal requests. It captures requests from email, Slack, Salesforce, Teams, or casual questions, automatically triages and routes them by priority, potential revenue impact, and jurisdiction, and then handles routine work through agents using the team’s playbook. It records ownership, decisions, and rationale in real time so lawyers only step in when judgment is needed. The product suite includes intake, contract review and drafting, research, repositories, and reporting, with integrations to Microsoft Word, Slack, and Microsoft 365. Wordsmith serves hundreds of companies and aims to scale its AI platform, expand into the US, and grow its team and customer base after a recent €60.2 million Series B funding.

Company size
201-500
Company stage
Series B
Total funding
$114M
Headquarters
New York City, New York
Founded
2023

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