Legal AI Engineer

Husch Blackwell LLP is a full-service litigation and business law firm serving clients with domestic and international operations. The Legal AI Engineer is responsible for designing, building, and optimizing AI-powered workflows that enhance legal service delivery by collaborating with attorneys and IT teams.

Responsibilities:

• Design, develop, and iterate AI workflows tailored to specific practice areas and legal use cases, testing outputs for accuracy, consistency, and alignment with legal standards and client expectations
• Partner with attorneys, KMI Attorneys, and IT teams to understand legal processes and translate them into effective AI-enabled solutions using firm-approved tools
• Document prompt libraries, workflow configurations, and best practices to enable scalability and knowledge sharing across the firm
• Continuously evaluate and improve existing AI workflows based on user feedback, evolving AI capabilities, and changing practice needs
• Serve as a resource to practice groups, understanding their unique workflows, pain points, and opportunities for AI-driven improvement
• Conduct intake sessions with attorneys to identify high-value use cases and prioritize AI initiatives based on impact and feasibility
• Collaborate with KMI Attorneys and practice service centers to ensure AI solutions align with existing knowledge resources, templates, and practice standards
• Translate complex legal requirements into technical specifications for AI workflows, ensuring outputs meet the substantive needs of each practice area
• Test AI outputs for accuracy, completeness, and adherence to legal, ethical, and alignment with firm standards
• Support compliance with firm AI governance policies in all AI implementations
• Document testing protocols, outcomes, and lessons learned; identify and escalate risks as appropriate
• Stay current on AI developments, regulatory changes, and industry best practices; share relevant insights with the KMI team
• Collaborate with training and knowledge management teams to develop resources that help attorneys effectively use AI tools
• Contribute to adoption initiatives by gathering user feedback and sharing insights that inform tool improvements and training approaches
• Support attorneys in integrating AI solutions into their workflows through responsive guidance and troubleshooting
• Coordinate tasks, timelines, and stakeholders for AI workflow development initiatives
• Track and report project status, adoption metrics, and outcomes to KMI leadership
• Contribute to the development of scalable playbooks and processes that support the growth of the legal engineering function

Requirements:

• J.D. from an accredited law school strongly preferred; candidates with 5+ years of experience driving innovation, technology adoption, or AI implementation at a large law firm or legal technology provider will also be considered
• 3+ years of experience in legal practice, legal operations, legal technology, knowledge management, or a related field with demonstrated exposure to AI-enabled tools
• Hands-on experience with prompt engineering, AI workflow development, or configuring legal AI platforms (e.g., Legora, Harvey, CoCounsel, NetDocuments, Microsoft Copilot, or similar tools)
• Experience working directly with end users to drive technology adoption
• Strong understanding of legal workflows, practice area nuances, and attorney work product standards
• Excellent written and verbal communication skills with the ability to translate technical concepts for legal audiences and legal requirements for technical teams
• Demonstrated analytical, problem-solving, and organizational skills; comfort working cross-functionally with attorneys, IT, and business teams
• Intellectual curiosity about AI and emerging legal technology; passion for transforming legal service delivery
• Ability to work independently while thriving in a collaborative, fast-paced environment
• Strong interpersonal skills with the ability to build credibility and collaborative relationships with attorneys across practice groups and seniority levels