Attorney/Lawyer
| Verified Pay check_circle | Provided by the employer$65 - $80 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | 101 Park Ave Fl 32 >, New York, NY, US New York, New York open_in_new |
About this job
Job Description
Robert Half is seeking an experienced AI Risk & Compliance Analyst to support the intake, assessment, documentation, and ongoing governance of AI use cases across the enterprise.
This is a hands-on role for a practitioner with direct experience in AI governance, AI risk assessment, responsible AI controls, and regulatory alignment. The ideal candidate brings experience from a legal, compliance, or regulated corporate environment and is comfortable partnering with legal stakeholders to evaluate AI use cases for regulatory, contractual, privacy, and reputational risk. Experience supporting AI governance within legal departments, law firms, or legal operations teams is strongly preferred.
Location: Midtown, New York
Schedule: Hybrid – 3 days onsite, 2 days remote
Duration: 6-month contract with potential for full-time conversion
Pay: $65-80/hour
Key Responsibilities
- Manage and enhance the AI use case intake process, including:
- Triage, risk categorization, stakeholder routing, approval tracking, and follow-ups
- Conduct AI risk and compliance reviews for new and existing use cases, including:
- Data usage, privacy, security, third-party risk, regulatory exposure, and business impact
- Evaluate AI-enabled tools, platforms, and vendors for risks related to:
- Confidential/sensitive data, automated decision-making, transparency, human oversight, IP, bias, and accuracy
- Maintain and improve the AI use case inventory, including:
- Ownership, vendors, data types, risk ratings, approvals, required controls, and review cadence
- Translate regulatory and compliance requirements into:
- Intake questions, risk criteria, control requirements, and formal decision documentation
- Partner cross-functionally with:
- Legal, Privacy, Security, Procurement, Technology, and business stakeholders
- Support third-party AI risk reviews, including vendor due diligence and governance considerations
- Develop and refine AI governance artifacts:
- Intake forms, risk frameworks, review checklists, templates, and process documentation
- Track and report on AI governance metrics:
- Intake volume, review cycle time, risk trends, remediation status, and compliance alignment