matter management, contract lifecycle, outside counsel management, compliance) into clear product specifications Identify, promote, and lead execution of automation and AI opportunities across product portfolios Collaborate with and direct AI/ML Engineers to understand technical constraints and deliver feasible solutions Work with and lead AI Product Developers to deliver intuitive user experiences that drive adoption Drive and lead requirements workshops, design sessions, and UAT with practice group stakeholders Define, drive, optimize, and promote success metrics to measure product impacts across portfolios Conduct and lead demos, feedback gathering, and leverage user inputs to drive adoption across products Drive go-to-market planning including change management, training, and adoption strategies Own, influence, and drive product roadmaps, progress, and trade-offs with stakeholders and leadership Maintain and leverage subject matter expertise on AI capabilities and legal tech trends to drive product direction10+ years of experience in product management, business analysis, and/or legal operations - with hands-on experience across multiple disciplines Demonstrated delivery of solutions leveraging deep expertise in corporate operations, workflows, and terminology Proven ability to lead user research, design, and requirements, translating findings into product specifications and customer success metrics Experience working with technical teams (e.g. 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 stakeholdersDirect 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.