Legal Engineer- Litigation

Cozen O'Connor is seeking a Legal Engineer – Litigation to build reliable, governed, and reusable AI-enabled workflows for litigation. The role designs prompts, agents, retrieval pipelines, evaluation frameworks, and quality controls while supporting deployment, maintenance, adoption, and responsible use of AI solutions across legal practice.

Responsibilities:

• Design, build, test, and deploy AI workflows, agents, and skills across the firm’s approved AI platforms, supporting litigation use cases such as document review, discovery responses, deposition preparation, chronology building, brief and pleading drafting, deficiency letters, and summarization
• Develop and maintain prompt libraries, retrieval pipelines, document templates, decision trees, and reusable workflow components with clear, attorney-ready documentation
• Translate practice requirements—gathered directly or in partnership with the AI Innovation Attorneys—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
• Build and run evaluation frameworks to measure workflow quality, accuracy, completeness, and reliability against representative matters, exemplar work product, and lawyer-defined quality standards
• Embed human-review checkpoints, guardrails, and audit mechanisms aligned with firm governance, confidentiality, and professional-responsibility requirements
• Document testing protocols, outcomes, and lessons learned; identify, log, and escalate risks and failure modes as appropriate
• Support the rollout of workflows into daily practice, partnering with the AI Innovation Attorneys and adoption resources on launch training and early support
• Own ongoing maintenance of production workflows, updating prompts, retrieval sources, and guardrails in response to model changes, platform updates, user feedback, and evolving practice needs
• Develop and scale best-practice standards, use-case libraries, and playbooks that help lawyers responsibly and independently leverage AI tools while maintaining quality and risk controls
• Track adoption, usage, quality, and impact metrics for deployed workflows, and recommend refinements or expansion opportunities
• Partner closely with the AI Innovation Attorneys, applied AI and legal-engineering colleagues, Knowledge Management, Information Services, data and security teams, Professional Development, and vendors to deliver reliable, supportable solutions
• Serve as a technical translator among legal, engineering, and business audiences, turning ambiguous needs into practical, production-ready solutions
• Stay current on generative AI, agentic workflows, litigation technology, and the vendor market, translating developments into concrete build recommendations