Legal AI Engineer

Overview

An experienced Legal AI Engineer is needed to lead the design and development of a practical, scalable enterprise risk taxonomy and operating model for large, complex organizations.

This role is Remote.

Responsibilities

• Define and implement AI/GenAI capabilities within CLM and legal technology platforms, including:
  • Automated contract review
  • Risk scoring
  • Clause extraction
  • Clause comparison
  • Natural language analysis
• Lead requirements workshops to map contract workflows, identify automation opportunities, and translate legal and business requirements into technical solutions.
• Configure AI-enabled CLM workflows and optimize:
  • Contract templates
  • Clause libraries
  • Playbooks
  • Fallback positions
• Develop and curate legal datasets and annotation standards to support AI model development and performance improvements.
• Partner with Data Science and Engineering teams to develop, fine-tune, test, and improve AI models for contract analysis and legal workflows.
• Evaluate model outputs against ground-truth data, identify performance gaps, and provide structured recommendations for improvement.
• Define AI use cases across contract review, drafting, negotiation, compliance, risk assessment, and Legal Operations.
• Develop and execute testing and quality-assurance protocols to validate AI functionality, accuracy, and regulatory alignment.
• Establish human-review, validation, and governance controls for AI-assisted legal workflows.
• Develop documentation and training materials and support adoption of AI-enabled legal technology across Legal and business teams.

Requirements

• Experience in legal AI engineering, legal knowledge engineering, CLM, contract automation, legal technology, or AI-enabled Legal Operations.
• Hands-on experience implementing AI/GenAI capabilities within CLM or contract management platforms.
• Ability to translate legal concepts into structured data, AI workflows, and technical requirements.
• Strong understanding of commercial contracts, clause structures, negotiation playbooks, contract risk, and lifecycle workflows.
• Experience developing, annotating, curating, or evaluating legal datasets for AI/ML models.
• Experience testing AI models against ground truth and partnering with Data Science and Engineering teams to improve performance.
• Strong workflow mapping, requirements gathering, process design, and stakeholder facilitation skills.
• Strong understanding of responsible AI, human review, data quality, privacy, compliance, and model governance.
• Proven ability to work across Legal, Procurement, Product, Data Science, Engineering, and business teams.

Compensation & Benefits

• Estimated total compensation (full-time attorney roles): $104,500–$325,000 per year
• Estimated total compensation (full-time non-attorney roles): $71,250–$309,750 per year
• Compensation decisions are based on factors including experience, skills, certifications, location, and business needs.
• Employees may be eligible for additional benefits, including:
  • Health, dental, and vision insurance
  • Paid holidays and PTO
  • Flexible work arrangements
  • Professional development opportunities and tools

Location

• Remote

Additional Information

Employment may be contingent upon successful completion of a background check, providing proof of identity, and possessing the necessary legal authorization to work.

Upon request and consistent with applicable laws, reasonable accommodations may be provided for individuals with disabilities who require accommodations to participate in each stage of the recruitment process.

Equal opportunity employer. No discrimination or harassment based on any protected characteristic under applicable law.