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Legora

Collaborative AI workspace for legal workflows

Automation Engineer

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • You have identified useful automation opportunities and built workflows or integrations that others use, and can explain their impact and maintenance.
  • You can translate requirements into instructions, configure integrations, and adjust workflows based on results.
  • You know how to test a workflow and verify its effects in connected systems, using automated checks where useful.
  • You can assess the accuracy, consistency, and usefulness of AI output and know when to investigate or request human review.
  • You understand workflows and data movement through APIs, and can read generated code when troubleshooting requires it.
  • You have worked with identity, SaaS, or IT systems and understand how account, group, and access changes affect employees.
  • You can plan work when requirements are unclear, coordinate dependencies, explain tradeoffs, and know when a decision needs approval.
  • You are comfortable owning a system’s day-to-day operation, resolving problems, and helping others use it.

Responsibilities

  • Own Serval’s day-to-day operation, configuration, and integrations; keep workflows reliable and documented so teammates can support them and know who owns each part.
  • Identify automation opportunities independently and with peers, assess their value, and take them through rollout and maintenance.
  • Build workflows and integrations using automation platforms and AI agents for onboarding and offboarding, access provisioning, SaaS administration, and maintaining consistent data across systems.
  • Work with People Technology to build and test integrations between the HRIS and other business systems.
  • Build AI-enabled services that help employees find information and complete approved actions; set permissions, approval steps, and fallbacks for uncertain answers or failed actions.
  • Compare approaches and explain tradeoffs in reliability, complexity, cost, and employee experience; coordinate dependencies with system owners and use staged rollouts with appropriate recovery steps.
  • Use automated checks to catch workflow failures and regressions, and verify results in connected systems.
  • Monitor workflow outcomes and fix recurring failures; use run histories, logs, and API responses to trace problems across systems, reading generated code when useful.
  • Track changes in manual effort, errors, delays, or control gaps; check usability, incorporate feedback, and complete follow-up work.

Desired Qualifications

  • Experience with Serval or a similar platform for AI-enabled workflows and service automation.
  • Experience automating processes using HRIS APIs.
  • Familiarity with Okta, Lumos, single sign-on (SSO), system for cross-domain identity management (SCIM), employee lifecycle integrations, or Apple device management.
  • Experience connecting AI agents to tools and knowledge sources, setting their permissions, or evaluating their performance.
  • Experience setting up automated workflow tests, regression checks, or monitoring across applications.

About the Company

Legora

Collaborative AI workspace for legal workflows

Legora builds an AI-powered, collaborative workspace for legal teams. Its platform helps law firms and corporate legal departments conduct research, review, drafting, and end-to-end legal workflows, all within a workspace that includes firm-specific and jurisdiction-specific context. The product works by providing an agentic AI assistant that can handle tasks across the legal process—research, drafting, reviewing, and workflow orchestration—tailored to each firm’s rules and the relevant laws of different jurisdictions. Legora differentiates itself from competitors by serving a very large existing customer base (tens of thousands of lawyers across 1,000+ organizations in 50+ markets), focusing specifically on legal work, and backing its platform with significant capital and big-name investors to scale its US expansion and its agentic workflows. The company’s goal is to broaden adoption of its AI-powered legal workspace globally and to enable efficient, context-aware legal work at scale.

Company size
501-1,000
Company stage
Series E
Total funding
$1.4B
Headquarters
Stockholms kommun, Sweden
Founded
2023

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