Practice Applications Product Owner

Haynes and Boone, LLP•Charlotte, NC

9d•Onsite

About The Position

This exempt position owns the discovery, scoping, prioritization, delivery, and long-term success of attorney-facing GenAI solutions, with a primary focus on Harvey workflows and related AI-enabled practice solutions. The Product Owner works directly with attorneys, practice groups, engineering, enablement, IT, Knowledge Management (KM), and vendors to convert a growing pipeline of AI ideas into secure, scalable, high-value solutions. The role is responsible for reducing idea-to-delivery cycle time, maintaining a healthy and prioritized backlog, preparing engineer-ready requirements, supporting pilots and rollout, and ensuring that delivered solutions are adopted, governed, and measured. As the firm’s AI and KM roadmaps evolve, this role may also support knowledge-enabled AI solutions, search and retrieval use cases, and other practice innovation products.

Requirements

5+ years of product ownership, product management, legal technology, legal operations, knowledge systems, innovation, or professional services experience.
Experience working with attorneys, practice groups, or other expert users to identify needs, define requirements, manage priorities, and deliver user-facing solutions.
Experience with GenAI-enabled workflows, legal AI platforms, workflow automation, knowledge systems, document-centric products, or similar practice tools.
Working knowledge of operational controls needed in a law firm environment, including security, confidentiality, access control, data handling, and governance.
Experience collaborating with engineering teams and translating stakeholder needs into implementable requirements.
Ability to translate legal practice needs into clear product requirements, workflows, user stories, acceptance criteria, and user-facing solutions.
Strong discovery and stakeholder management skills; comfortable proactively engaging busy attorneys and following up to move ideas forward.
Strong prioritization and delivery discipline; comfortable operating across a large backlog with shifting priorities and capacity constraints.
Ability to work closely with engineers, vendors, IT, KM, enablement, and practice stakeholders to move solutions from concept through adoption.
Data-driven approach to adoption, engagement, support trends, and value measurement.
Strong judgment and risk awareness; able to apply consistent standards for access, security, confidentiality, and compliance.
Clear, practical communication style with the ability to explain technical and AI-enabled solutions to legal and business audiences.
Bachelor’s degree in business, information systems, computer science, legal studies, or a related field, or equivalent relevant experience.
Law firm or legal industry experience preferred; JD not required.

Nice To Haves

Experience with Harvey or other legal GenAI platforms preferred, but not required.

Responsibilities

Own the end-to-end product lifecycle for assigned AI solutions: intake follow-up, discovery, prioritization, scoping, backlog management, delivery coordination, rollout, adoption, measurement, and long-term support.
Actively manage a defined subset of the Harvey / GenAI idea backlog and help convert rough attorney ideas into actionable product opportunities.
Proactively engage attorneys and practice groups to clarify proposed AI use cases, identify workflow pain points, assess feasibility, and define solution scope.
Partner with engineering to maintain a ready queue of well-defined work, including epics, user stories, workflow maps, acceptance criteria, test plans, sample documents, and rollout requirements.
Help increase delivery throughput by reducing ambiguity before work reaches engineering and by coordinating timely attorney feedback during build, user acceptance testing, and iteration.
Maintain clear product artifacts, including roadmaps, prioritized backlogs, release plans, pilot plans, feedback summaries, and master idea tracking.
Coordinate pilots and proof-of-concept efforts, including participant selection, success criteria, testing plans, feedback collection, recommendations, and scale-up or sunset decisions.
Coordinate with the Harvey platform owner on roadmap alignment, feature releases, vendor capabilities, governance considerations, reuse opportunities, and cross-practice solution patterns.
Monitor support calls, recurring questions, usage trends, and attorney feedback to identify opportunities for new workflows, product enhancements, improved enablement, or governance updates.
Partner with KM professionals to translate approved KM priorities into AI-enabled product opportunities, including knowledge banks, precedent-based workflows, structured content use cases, search and retrieval solutions, and reuse patterns.
Partner with the enablement function to support adoption through targeted rollout plans, workflow documentation, practice-specific examples, feedback loops, and usage analysis.
Monitor and report on product performance and impact using KPIs such as adoption, usage, time saved, cycle time, data quality, user satisfaction, and downstream business outcomes.
Ensure solutions comply with firm policies and controls, including data security, access permissions, ethical walls, confidentiality, records requirements, and GenAI governance.
Coordinate with IT and vendors on platform performance, incident response, maintenance, enhancements, training opportunities, and roadmap alignment.
Support cross-portfolio initiatives such as data capture, structured content, integrations, analytics, and AI readiness.
Perform other duties as assigned.