Legal Engineer – Transactional

Jobtailor; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

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

• Design, build, test, and deploy AI workflows, agents, and skills across approved AI platforms for transactional use cases including diligence review, agreement review, playbook-driven redlining, clause extraction, deal-term summarization, and closing-checklist automation.
• Develop and maintain prompt libraries, retrieval pipelines, clause banks, document templates, and reusable workflow components with attorney-ready documentation.
• Translate practice requirements into technical specifications, workflow logic, and structured solutions.
• Use low-code tools, automations, and integrations to extend approved platforms and connect AI workflows to firm systems.
• Build and run evaluation frameworks measuring workflow quality, accuracy, completeness, and reliability.
• Embed human-review checkpoints, guardrails, and audit mechanisms aligned with governance, confidentiality, and professional-responsibility requirements.
• Document testing protocols and outcomes; identify, log, and elevate risks and failure modes.
• Support rollout into daily deal practice, including launch training and early support.
• Own ongoing maintenance of production workflows and update prompts, retrieval sources, clause banks, and guardrails.
• Develop and scale best-practice standards, use-case libraries, and playbooks for responsible AI use.
• Track adoption, usage, quality, and impact metrics and recommend refinements or expansion.
• Partner with transactional innovation, applied AI, legal engineering, knowledge management, information services, data and security, professional development, and vendor teams.
• Serve as a technical translator among legal, engineering, and business audiences.
• Stay current on generative AI, agentic workflows, transactional legal technology, and the vendor market.

Requirements

• J.D. preferred but not required; candidates with equivalent substantive legal, deal-support, knowledge-management, or legal-technology experience are strongly encouraged to apply.
• 3–5 years of experience in transactional practice, legal technology, knowledge management, legal operations, practice innovation, or a comparable professional-services environment, with demonstrated hands-on work building AI, automation, or workflow solutions.
• Hands-on AI build experience—prompt engineering, AI workflow or agent development, and configuring legal AI platforms (e.g., Harvey, Legora, CoCounsel, Microsoft Copilot, or contract-review platforms such as Kira or Luminance), including familiarity with retrieval-augmented generation (RAG) concepts and evaluation of model outputs.

Core Competencies

Demonstrates expertise in designing and deploying AI workflows and automation solutions within transactional legal contexts, with a strong focus on quality evaluation, compliance, and effective collaboration across legal and technical teams.

Highest-signal resume keywords

• AI Workflow Development
• Prompt Engineering
• Legal Technology Configuration
• Transactional Practice Experience
• Knowledge Management

ATS Optimization Keywords

Hard Skills

• Collaboration
• Technical Translation
• Training Support
• Problem-Solving
• Communication

Soft Skills

Certifications & Qualifications

• J.D. Preferred

Industry Keywords

• Transactional Legal Technology
• Legal Operations
• Practice Innovation
• Professional-Services Environment
• AI Governance

Tools & Technologies

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