AI Legal Engineer

AI Legal Engineer

We are a Firm where people truly believe in what they do and strive to achieve the highest standards of performance and success.

This position can be based in our global operations center in Tampa, FL, or at one of the Firm's offices:
Atlanta, Austin, Birmingham, Boston, Century City, Charlotte, Chattanooga, Chicago, Dallas, Denver, Fort Lauderdale, Houston, Jacksonville, Los Angeles, Miami, Nashville, Newport Beach, New York, Orlando, Philadelphia, Portland, Richmond, San Francisco, Seattle, Stamford, Tallahassee, Tysons, Washington, D.C., or West Palm Beach.

General Description:

The AI Legal Engineer is responsible for partnering with subject matter experts to design, build, and operationalize AI-enabled workflows that solve concrete problems for the Firm's practice groups, and for equipping attorneys to build, refine, and govern their own workflows over time.

This role pairs hands-on workflow or skill development including prompt design, retrieval pipelines, document templates, evaluations, and guardrails with practice-group-facing training, enablement, and change management. The AI Legal Engineer will serve as a primary, trusted resource for our practice groups, supporting the successful rollout and sustained adoption of AI solutions and driving meaningful, long-term behavior change.

The AI Legal Engineer works closely with the AI Product team, AI Adoption team, the broader Knowledge & Innovation team, IT, the Innovation Practice Group, and Professional Development to translate attorney needs into reliable, repeatable AI solutions that deliver measurable value in daily legal work.

Key Responsibilities and

Essential Job Functions:

• Design, build, test, and deploy AI legal workflows and skills across firm-approved AI tools, supporting use cases such as contract review, due diligence, drafting, research, and summarization.
• Partner directly with attorneys and knowledge management professionals to identify high-value use cases, map workflows, and translate practice needs into structured AI solutions.
• Develop and maintain retrieval pipelines, document templates, and reusable workflow components with clear, attorney-ready documentation.
• Build and execute evaluation frameworks to measure workflow quality, accuracy, and reliability; monitor performance and iterate based on feedback and outcomes.
• Serve as a go-to resource for enablement and change management for developed workflows, partnering with the AI Adoption team to drive usage, deliver training sessions and workshops, 1:1 coaching, and develop practical playbooks and materials that support sustained adoption.
• Develop and scale best-practice standards, use-case libraries, and playbooks that empower attorneys to responsibly and independently leverage AI tools while maintaining quality and risk controls.
• Embed human-review checkpoints and audit mechanisms aligned with Firm governance, confidentiality, and professional responsibility requirements.
• Collaborate closely with cross-functional stakeholders including the AI Product team, AI Adoption team, Knowledge & Innovation team, IT, Innovation Practice Group, and Professional Development to ensure aligned delivery and support.
• Track adoption, usage, and impact metrics for deployed workflows and recommend refinements or expansion opportunities.
• Manage ongoing maintenance of production workflows, including updates to prompts, retrieval sources, and guardrails in response to model and platform changes, user feedback, or evolving practice needs.
• Represent the AI Products & Adoption team in internal meetings, committees, and practice group sessions.
• Expected to maintain a regular and predictable work schedule and full attention to and engagement in work activities on behalf of the firm during business hours unless otherwise approved or required by applicable law.
• Special projects and duties as assigned.

Required Skills:

• Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation of model outputs.
• Working understanding of legal practice and attorney workflows, with the…