AI-Powered Legal Ops Lead (Contract & Governance)

Hex

United States

Remote

USD 124,000 - 166,000

Full time

14 days+
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Benefits offered by this job

Equity
Health benefits
Flexible PTO

Job summary

HexHex is seeking a skilled Legal Operations professional to own and scale contract operations, CLM, and governance as the company grows. You will build structured intake, manage outside counsel, and drive AI-enabled workflows to replace manual processes.

You’ll collaborate across teams, train users of self-service tools, and maintain privacy registers, AI inventory, and compliance calendars. This builder role sits at the nexus of data, AI, and collaboration.

Qualifications

  • 3–5+ years in legal operations, paralegal, or contract management.
  • In-house tech or SaaS experience preferred; CLM experience required.
  • Experience reviewing and redlining commercial agreements.

Responsibilities

  • Drive CLM adoption and enablement for the revenue team.
  • Own workflow optimization, templates, and playbooks as products evolve.
  • Review and redline standard agreements; draft from templates when needed.
  • Build structured intake for legal workstreams across the company.
  • Create AI-powered workflows and automations to replace manual tasks.
  • Maintain privacy registers, AI inventory, and compliance calendars.
  • Train cross-functional teams on self-service tools and escalation paths.
  • Manage external counsel relationships and the legal tech stack.

Skills

Legal operations
Contract management
AI & automation
Workflow design
Autonomy

Tools

Ironclad
Notion

Job description

HexHex is seeking a skilled Legal Operations professional to own and scale contract operations, CLM, and governance as the company grows. You will build structured intake, manage outside counsel, and drive AI-enabled workflows to replace manual processes.

You’ll collaborate across teams, train users of self-service tools, and maintain privacy registers, AI inventory, and compliance calendars. This builder role sits at the nexus of data, AI, and collaboration.

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