About the job
The AI Product Owner defines and drives AI product strategy for Legal Operations, combining legal domain expertise with product ownership and hands-on business analysis. You will leverage your understanding of legal workflows to conduct user research, document requirements, own the product backlog, and work closely with AI/ML Engineers and AI Product Developers to deliver solutions that attorneys trust and adopt. This role requires legal operations fluency, deep empathy for users, analytical rigor, and sharp prioritization skills.
Responsibilities
Support the product vision, strategy, and roadmap for AI products serving Legal Operations
Leverage legal domain expertise to understand practice group workflows, terminology, and pain points
Conduct user interviews, workflow analysis, and stakeholder sessions with attorneys, paralegals, and legal operations staff
Document business requirements, legal process flows, and user stories with clarity and precision
Define and prioritize the product backlog based on user needs, business value, and technical feasibility
Translate legal workflows (matter management, contract lifecycle, outside counsel management, compliance) into clear product specifications
Map current-state and future-state legal processes to identify automation and AI opportunities
Collaborate with AI/ML Engineers to understand technical constraints and shape feasible solutions
Work with AI Product Developers to design intuitive user experiences that drive adoption
Facilitate requirements workshops, design sessions, and UAT with practice group stakeholders
Define success metrics and measure product impact post-launch
Conduct demos, gather feedback, and iterate based on user input
Drive go-to-market planning including change management, training, and adoption strategies
Communicate product roadmap, progress, and trade-offs to stakeholders and leadership
Stay current on AI capabilities and legal tech trends to inform product direction
Qualifications
Minimum
6+ years of experience in product management, business analysis, or legal operations — with hands-on experience across multiple disciplines
Strong understanding of corporate legal department operations, workflows, and terminology
Proven ability to conduct user research, document requirements, and translate findings into product specifications
Experience working with technical teams (engineering, data science, AI/ML)
Proven track record delivering solutions leveraging design thinking, agile methodologies, and the product development lifecycle
Excellent documentation skills — able to produce clear business requirements, process flows, and user stories
Strong facilitation skills for workshops, interviews, and stakeholder sessions
Excellent communication skills — able to engage credibly with attorneys and influence stakeholders
Preferred
Direct experience in a corporate legal department, law firm, or legal tech company
Familiarity with legal systems (matter management, CLM, eBilling, document management, eDiscovery)
Understanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel operations
Experience with AI/ML products or data-driven applications
Understanding of AI capabilities and limitations (LLMs, RAG, agents, prompt engineering)
Experience with business process modeling and workflow documentation tools
Experience with product analytics and user research methodologies
Certified Scrum Product Owner (CSPO), CBAP, or similar certification
JD, paralegal certificate, or legal operations certification a plus
Track record of shipping products that legal professionals adopt and value