Legal AI Engineer
Job Details
Requirements
- Have experience in legal AI engineering, legal knowledge engineering, CLM, contract automation, legal technology, or AI-enabled Legal Operations.
- Have hands-on experience implementing AI/GenAI capabilities within CLM or contract management platforms.
- Translate legal concepts into structured data, AI workflows, and technical requirements.
- Understand commercial contracts, clause structures, negotiation playbooks, contract risk, and lifecycle workflows.
- Have experience developing, annotating, curating, or evaluating legal datasets for AI/ML models.
- Have experience testing AI models against ground truth and partnering with Data Science and Engineering teams to improve performance.
- Bring workflow mapping, requirements gathering, process design, and stakeholder facilitation skills.
- Understand responsible AI, human review, data quality, privacy, compliance, and model governance.
- Work across Legal, Procurement, Product, Data Science, Engineering, and business teams.
Responsibilities
- Define and implement AI/GenAI capabilities within CLM and legal technology platforms, including automated contract review, risk scoring, clause extraction, comparison, and 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, and fallback positions.
- Develop and curate legal datasets and annotation standards supporting AI model development and performance improvement.
- 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.