AI Legal Engineer

About the role

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.

Responsibilities

• 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.

Qualifications

• 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 judgment to identify where AI is, and is not, appropriate.
• Strong interpersonal skills with experience building trusted relationships with attorneys, including partners and senior stakeholders.
• Clear, confident communicator able to teach AI concepts and workflow-building skills to non-technical legal audiences in practical terms.
• Comfort iterating in ambiguity: scoping a use case, building a prototype, gathering feedback, and refining toward a production-ready workflow.
• Strong attention to quality, accuracy, and risk; instinct to build in human-review and verification steps for legal output.
• Consistently reliable, responsive, and solutions oriented.
• Proficient in Microsoft Office Suite, or Microsoft 365.

Skills

• Demonstrated experience designing or implementing AI, automation, or workflow solutions in a legal or professional-services context.
• Experience delivering training, enablement, or onboarding programs to attorney or client-facing audiences.
• Prior experience at an AmLaw firm, in-house legal department, or legal technology company (e.g., Harvey, Legora, or similar).
• Hands-on experience with workflow builders, prompt libraries, RAG pipelines, and AI evaluation methods.
• Familiarity with AI governance frameworks and emerging AI regulation relevant to legal practice.
• Light coding fluency (e.g., Python, SQL, or scripting) a plus but not required.