AI Legal Engineer & Workflow Architect

Holland & Knight

Chicago (IL)

On-site

USD 150,000 - 224,000

Full time

9 days ago

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Benefits offered by this job

Bonus opportunities
Comprehensive benefits
Paid holidays

Job summary

Holland & Knight is seeking an AI Legal Engineer to design, build, and operationalize AI-enabled workflows for the firm’s practice groups. You will partner with attorneys and knowledge management to translate needs into reliable tools that solve real legal problems.

You will work with the AI Product and Adoption teams to develop retrieval pipelines, documentation, and governance, while delivering training, playbooks, and ongoing support to ensure adoption and responsible use of AI across the

Qualifications

  • Juris Doctor (JD) or equivalent legal background with 3–6+ years experience
  • Experience designing or implementing AI/workflow solutions in a legal or professional services context
  • Experience delivering training or onboarding to attorney/client-facing audiences

Responsibilities

  • Design, build, test, and deploy AI legal workflows using firm-approved tools
  • Identify high-value use cases with attorneys and map workflows
  • Develop retrieval pipelines and document templates for reusable components
  • Create evaluation frameworks to measure workflow quality, accuracy, and reliability
  • Deliver trainings and enablement sessions to drive adoption
  • Maintain playbooks and governance aligned with risk controls
  • Track adoption and impact of deployed workflows

Skills

Prompt engineering
RAG pipelines
Workflow design
Stakeholder management
Training delivery

Education

Juris Doctor (JD) or equivalent

Tools

Harvey
Legora
Copilot

Job description

Holland & Knight is seeking an AI Legal Engineer to design, build, and operationalize AI-enabled workflows for the firm’s practice groups. You will partner with attorneys and knowledge management to translate needs into reliable tools that solve real legal problems.

You will work with the AI Product and Adoption teams to develop retrieval pipelines, documentation, and governance, while delivering training, playbooks, and ongoing support to ensure adoption and responsible use of AI across the

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