Legal AI Workflow Architect

Jobtailor

Washington (District of Columbia)

On-site

USD 120,000 - 180,000

Full time

8 days ago
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Job summary

Jobtailor seeks a transactional legal-technology specialist to design and deploy AI-driven workflows for diligence, clause extraction, and deal-term summaries. You will build prompt libraries, integration pipelines, and reusable components with attorney-ready documentation.

The role requires hands-on AI experience, JD preferred, and collaboration across legal and engineering teams to maintain production workflows and governance standards.

Qualifications

  • 3–5 years of experience in transactional practice, legal technology, or a related professional-services setting.
  • Hands-on AI build experience—prompt engineering and AI workflow or agent development.
  • Familiarity with leading legal AI platforms and RAG concepts.

Responsibilities

  • Design, build, test, and deploy AI workflows for transactional use cases (diligence, clause extraction, deal-term summarization).
  • Develop and maintain prompt libraries, retrieval pipelines, and reusable components.
  • Translate practice requirements into technical specs and structured solutions.
  • Embed governance, confidentiality, and professional-responsibility guardrails.
  • Support rollout, training, and early support for production workflows.

Skills

AI Workflow Development
Prompt Engineering
Legal Technology Configuration
Transactional Practice Experience
Knowledge Management
Collaboration
Technical Translation
Training Support
Problem-Solving
Communication

Education

J.D. Preferred

Tools

Harvey
Legora
CoCounsel
Microsoft Copilot
Kira
Luminance
Low-Code Tools
Retrieval-Augmented Generation

Job description

Jobtailor seeks a transactional legal-technology specialist to design and deploy AI-driven workflows for diligence, clause extraction, and deal-term summaries. You will build prompt libraries, integration pipelines, and reusable components with attorney-ready documentation.

The role requires hands-on AI experience, JD preferred, and collaboration across legal and engineering teams to maintain production workflows and governance standards.

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