What are the responsibilities and job description for the Legal Workflow Engineer position at DarrowEverett LLP?
About the Role
We are seeking a Legal Workflow Engineer to join our team and play a central role in designing, building, and optimizing AI-powered workflows that enhance the delivery of legal services across the firm. This position sits at the intersection of legal operations, technology, and process engineering, and is ideal for a candidate who thrives on translating complex legal processes into efficient, scalable, and reliable automated solutions.
Key Responsibilities
- Design and optimize AI-powered legal workflows, agents, and skills, ensuring alignment with firm practice areas, client needs, and operational objectives.
- Develop and maintain prompt engineering standards and workflow design conventions to ensure consistency, accuracy, and reproducibility across the firm’s AI tools and platforms.
- Establish and oversee quality assurance protocols for AI-generated work product, including testing frameworks, output validation procedures, and error-handling processes.
- Monitor and report on workflow performance metrics, identifying opportunities for continuous improvement and efficiency gains.
- Contribute to the firm’s AI optimization roadmap by evaluating emerging tools, recommending enhancements, and collaborating with leadership on strategic priorities.
- Partner with firm leadership (including CIFO, CAO, and Tech/AI Committee) to identify high-value automation opportunities and translate business requirements into technical specifications.
- Document workflows, standard operating procedures, and best practices to support knowledge sharing and team scalability.
Qualifications
- Bachelor’s degree required; advanced degree in law, computer science, information systems, or a related field preferred.
- Demonstrated experience designing and optimizing AI-powered workflows, with a strong preference for candidates who have performed these functions at a full-service business law firm or similar professional services environment.
- Familiarity with large language models (the firm currently utilizes Harvey, Claude, and Clio), prompt engineering techniques, and AI-assisted document review or drafting tools.
- Strong analytical and problem-solving skills, with the ability to define and track performance metrics.
- Excellent communication skills, including the ability to collaborate effectively with both technical and non-technical stakeholders.
- Experience developing quality assurance frameworks or testing protocols for technology-driven processes.
- Project management skills and the ability to manage multiple initiatives simultaneously.
Preferred Qualifications
- Direct experience working with Harvey, Claude, Clio, or comparable legal AI and practice management platforms within a law firm environment.
- Knowledge of legal practice workflows, matter lifecycle management, practice management systems (e.g., Clio), or legal project management principles.
- Familiarity with workflow automation platforms, APIs, or low-code/no-code tools.
- Experience contributing to technology strategy or product roadmaps.