Director, AI Enablement & Legal Engineering

Architect and Deploy AI Solutions

Own Vendor and Technology Stack Strategy

Build AI Fluency and Legal Engineering Capability

Partner Across Senior Leadership

Lead with a Service Mindset

Required

Preferred

Qualifications

• Required
• Juris Doctor from an accredited law school and licensed attorney in good standing.
• 10+ years of experience in legal practice, legal operations, legal technology, consulting, transformation, or related fields.
• Demonstrated experience improving legal workflows, processes, service delivery, or operational effectiveness.
• Strong understanding of legal processes, process redesign, legal technology, knowledge management, automation, and workflow tools.
• Experience with AI-enabled solutions, legal technology implementation, workflow platforms, or innovation initiatives.
• Ability to influence and partner effectively with attorneys, senior legal leaders, technology teams, and business stakeholders.
• Preferred
• Experience in Legal Operations, legal transformation, legal innovation, consulting, or legal technology organizations.
• Expertise in process engineering, workflow design, Lean, Six Sigma, design thinking, product management, or related methodologies.
• Experience with contract lifecycle management, matter management, legal intake, knowledge management, document automation, or workflow automation platforms.
• Experience helping legal teams adopt AI-enabled solutions, automation, or new ways of working.
• Date Posted

Responsibilities

• Architect and Deploy AI Solutions
• Keeps legal data accurate, well-organized, and responsibly used, treating it as the foundation AI capability is built on and improves alongside
• Design end-to-end AI solutions, using LLMs, retrieval-augmented generation, and agentic frameworks, for contract review, legal research, regulatory analysis, and compliance workflows. Build & enhance the underlying document processing pipelines, including intake, parsing, chunking, embedding, and indexing, that turn contracts, playbooks, and regulatory filings into a system that supports fast, intelligent search and analysis
• Hands-on experience using AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot to build and ship production solutions faster.
• Establish testing, validation, and quality control practices so AI-enabled legal work meets LGA's standards for accuracy and reliability.
• Own Vendor and Technology Stack Strategy
• Evaluate and influence the legal technology portfolio, including build-versus-buy decisions across platforms and specialized providers.
• Track and report the return on investment of AI usage across the department to guide where further investment makes sense.
• Assess external platforms, many of which already run on comparable AI capability, against the case for building in-house and vice-versa. Platform and build decisions should be made with a view toward where AI in Legal is heading, not just its current state.
• Build AI Fluency and Legal Engineering Capability
• Design enablement programs calibrated to where each practice area sits on the AI maturity curve, rather than a single training path for everyone.
• Coach and develop talent toward legal engineering skills and help expand the existing network of AI-advanced colleagues across practice areas.
• Measure adoption and effectiveness to guide where further investment in tools or training makes sense.
• Partner Across Senior Leadership
• Act as a trusted advisor to senior LGA leaders and cross-functional partners in Technology, Finance, and HR on AI strategy and priorities.
• Translate technical capability into practical, business-relevant recommendations for non-technical stakeholders.
• Navigate a matrixed organization and competing priorities to keep initiatives moving.
• Lead with a Service Mindset
• Keep attorneys' and paralegals' daily experience at the center of every solution, so tools solve real friction rather than add process.
• Stay responsive and available to legal teams as they adopt new workflows and tools.
• Build trust through consistent follow-through, not just technical delivery.