AI Product Owner, Legal Operations

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there"s no telling what you could accomplish.\\n\\nAre you passionate about translating AI capabilities into products that solve real legal problems?\\nDo you thrive on understanding attorney and paralegal needs deeply — conducting interviews, mapping legal workflows, and documenting requirements?\\nCan you bridge the gap between technical possibilities and legal business value?\\n\\nThe Business Engineering team within Legal Operations is building AI-powered products for a global legal organization. The AI Product Owner role is central to this mission — bringing legal domain expertise, understanding user needs firsthand, defining what we build, and driving adoption across practice groups.

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.

Support the product vision, strategy, and roadmap for AI products serving Legal Operations\\nLeverage legal domain expertise to understand practice group workflows, terminology, and pain points\\nConduct user interviews, workflow analysis, and stakeholder sessions with attorneys, paralegals, and legal operations staff\\nDocument business requirements, legal process flows, and user stories with clarity and precision\\nDefine and prioritize the product backlog based on user needs, business value, and technical feasibility\\nTranslate legal workflows (matter management, contract lifecycle, outside counsel management, compliance) into clear product specifications\\nMap current-state and future-state legal processes to identify automation and AI opportunities\\nCollaborate with AI/ML Engineers to understand technical constraints and shape feasible solutions\\nWork with AI Product Developers to design intuitive user experiences that drive adoption\\nFacilitate requirements workshops, design sessions, and UAT with practice group stakeholders\\nDefine success metrics and measure product impact post-launch\\nConduct demos, gather feedback, and iterate based on user input\\nDrive go-to-market planning including change management, training, and adoption strategies\\nCommunicate product roadmap, progress, and trade-offs to stakeholders and leadership\\nStay current on AI capabilities and legal tech trends to inform product direction

6+ years of experience in product management, business analysis, or legal operations — with hands-on experience across multiple disciplines\\nStrong understanding of corporate legal department operations, workflows, and terminology\\nProven ability to conduct user research, document requirements, and translate findings into product specifications\\nExperience working with technical teams (engineering, data science, AI/ML)\\nProven track record delivering solutions leveraging design thinking, agile methodologies, and the product development lifecycle\\nExcellent documentation skills — able to produce clear business requirements, process flows, and user stories\\nStrong facilitation skills for workshops, interviews, and stakeholder sessions\\nExcellent communication skills — able to engage credibly with attorneys and influence stakeholders

Direct experience in a corporate legal department, law firm, or legal tech company\\nFamiliarity with legal systems (matter management, CLM, eBilling, document management, eDiscovery)\\nUnderstanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel operations\\nExperience with AI/ML products or data-driven applications\\nUnderstanding of AI capabilities and limitations (LLMs, RAG, agents, prompt engineering)\\nExperience with business process modeling and workflow documentation tools\\nExperience with product analytics and user research methodologies\\nCertified Scrum Product Owner (CSPO), CBAP, or similar certification\\nJD, paralegal certificate, or legal operations certification a plus\\nTrack record of shipping products that legal professionals adopt and value\\n