AI Litigation Engineer: Build Production AI Workflows

Cozen O'Connor

Philadelphia (Philadelphia County)

On-site

USD 120,000 - 160,000

Full time

23 hours ago
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Job summary

Cozen O'Connor seeks a Legal Engineer - Litigation to transform litigation use cases into governed, reusable AI-enabled workflows. You will design prompts, agents, and retrieval pipelines, build evaluation sets, and deploy production-ready solutions that meet legal standards.

The role calls for hands-on fluency with generative AI platforms and workflow tools, plus enough legal understanding to ensure appropriate AI use with human oversight where needed. Philadelphia-based, on-site work.

Qualifications

  • J.D. preferred but not required; candidates with equivalent substantive legal, litigation-support, knowledge-management, or legal-technology experience are strongly encouraged to apply.
  • 3–5 years of experience in legal practice, legal technology, knowledge management, legal operations, practice innovation, or a comparable professional-services environment, with 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., Microsoft Copilot, Harvey, CoCounsel, Claude, or similar), including familiarity with retrieval-augmented generation (RAG) concepts and evaluation of model outputs.
  • Working understanding of litigation workflows and attorney work-product standards, with the judgment to recognize where AI is - and is not - appropriate.
  • Quality and risk discipline - an instinct to build in testing, human-review checkpoints, and verification steps for legal output.
  • Comfort iterating in ambiguity - scoping a use case, building a prototype, gathering feedback, and refining toward a production-ready workflow.
  • Strong communication and collaboration skills, with the ability to build trusted relationships with attorneys at all levels and teach AI and workflow concepts to non-technical audiences in practical terms.
  • Light coding fluency (e.g., Python, SQL, or scripting) and experience with workflow builders, low-code platforms, or integrations are a plus but not required.

Responsibilities

  • Build and engineer AI-enabled litigation workflows: design, build, test, and deploy AI workflows, agents, and skills across firm platforms for litigation use cases.
  • Develop and maintain prompt libraries, retrieval pipelines, document templates, decision trees, and reusable workflow components with attorney-ready documentation.
  • Translate practice requirements into technical specifications, workflow logic, and structured solutions.
  • Where appropriate, use low-code tools, automations, and integrations to extend firm-approved platforms and connect AI workflows to firm systems.
  • Test, evaluate, and harden solutions: build evaluation frameworks measuring quality, accuracy, and reliability; embed human-review checkpoints and governance.
  • Document testing protocols, outcomes, and lessons learned; identify, log, and elevate risks and failure modes.
  • Deploy, maintain, and scale: rollout workflows with adoption resources and training; maintain production workflows and update prompts, retrieval sources, and guardrails.
  • Collaborate across the firm: work with AI Innovation Attorneys, knowledge management, security teams, and vendors to deliver reliable, production-ready solutions.

Skills

Prompt engineering
AI workflow
Low-code
Python

Education

J.D. preferred
Equivalent legal experience

Tools

Microsoft Copilot
Harvey
CoCounsel
Claude

Job description

Cozen O'Connor seeks a Legal Engineer - Litigation to transform litigation use cases into governed, reusable AI-enabled workflows. You will design prompts, agents, and retrieval pipelines, build evaluation sets, and deploy production-ready solutions that meet legal standards.

The role calls for hands-on fluency with generative AI platforms and workflow tools, plus enough legal understanding to ensure appropriate AI use with human oversight where needed. Philadelphia-based, on-site work.

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