Role OverviewEvery law firm now has access to AI. Only some will use it to fundamentally change how their lawyers practice, how their clients are served, and how their business runs. The gap between those two groups will define the winners in the next decade of legal services - and closing that gap is the work of Harvey's Transformation Office.
As a senior member of the Transformation Office, the Practice Lead will partner with the world's leading law firms to help them understand what their future will look like and design a clear path to get there. This isn't about handing clients a roadmap and walking away - it's about deeply understanding each firm's world, drawing on the full breadth of what Harvey has to offer, and connecting the right capabilities, teams, and tools to the right problems. This means matching deep AI expertise with legal industry experience and aligning firms on metrics for success, phases of adoption, key milestones, and measurable outcomes tied to their business goals. The firms that get this right won't just be more efficient, they'll be categorically different, and this role exists to help them get there.
What You'll Do- Serve as a trusted transformation advisor to Harvey's most strategic law firm clients and prospects, embedding directly in their world to understand how they operate, where AI can move the needle, and what it will take to get there.
- Draw on the full range of Harvey's capabilities: sales, legal engineering, customer success, legal innovation, and product to connect the right assets and expertise to each firm's unique challenges and opportunities.
- Design and lead end-to-end AI transformation programs covering use case prioritization, executive alignment, rollout planning, governance, and success measurement, spanning all facets of organizational change: Technology, Skills, Communications, Structures, and Governance.
- Help firm leaders translate complex AI capability into clear, actionable strategies that make sense for each firm's size, structure, practice mix, and ambitions.
- Build and own the operational infrastructure of this practice: repeatable transformation playbooks, executive workshop formats, value realization frameworks, and practice area benchmarks that allow Harvey to scale high-quality transformation support across firms worldwide.
- Collaborate cross-functionally with Account Executives, Legal Engineers, Customer Success Managers, Legal Product Specialists, Product, and Marketing to identify adoption barriers, build firm-specific strategies, and feed insights back into product and go-to-market decisions.
- Define and track transformation success metrics including adoption, utilization, measurable value, ROI, customer health, executive engagement, renewal readiness, and expansion readiness.
- Represent Harvey credibly in the legal tech space through firm advising, thought leadership, and community engagement.
What You Have- JD or equivalent legal qualification.
- 12+ years of experience practicing law at a top-tier law firm with subsequent experience at a top-tier management consulting firm with a focus on enterprise transformation, organizational change, or professional services strategy.
- Deep understanding of the business of law, not just legal practice, including how law firms operate, how decisions get made, and how technology and AI are reshaping the industry.
- Executive presence and client credibility: equally comfortable advising a managing partner on transformation strategy and rolling up your sleeves on the ground
- Proven ability to build from the ground up: designing playbooks, standing up functions, and generating momentum and enthusiasm across a team and an organization.
- Strong point of view on where AI is taking the legal industry, paired with the empathy and communication skills to meet clients where they are and bring them along on the journey.
- Comfort with data-informed decision-making, including the ability to define outcomes, diagnose adoption risks, and adjust strategy based on usage and business impact.
- High-agency operating style suited to a fast-moving, ambiguous, early-stage environment, with a bias toward simple, scalable approaches over overly complex programs.
Compensation$260,000-$350,000 USD
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