Practice Lead, In-house Transformation
$260k - $350k • Remote • San Francisco • FullTime
Posted 1mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Harvey is seeking a Practice Lead to join its Transformation Office. This role will partner with leading enterprise in-house legal teams to guide them in understanding their future with AI and developing strategies for adoption. The Practice Lead will deeply understand each organization's unique environment, leverage Harvey's full suite of offerings, and align AI capabilities with specific business challenges and goals. This position is crucial for helping legal departments become not just more efficient, but fundamentally different through AI integration, focusing on metrics, adoption phases, and measurable outcomes.
Responsibilities
- Serve as a trusted transformation advisor to strategic in-house clients, embedding to understand operations and AI's impact.
- Leverage Harvey's capabilities (sales, legal engineering, customer success, product) to address client challenges.
- Design and lead end-to-end AI transformation programs, including prioritization, alignment, rollout, governance, and success measurement.
- Translate complex AI capabilities into clear, actionable strategies tailored to client organizations.
- Build and own the practice's operational infrastructure, including playbooks, workshop formats, and value frameworks.
- Collaborate cross-functionally to identify adoption barriers, develop strategies, and provide product/go-to-market feedback.
- Define and track transformation success metrics such as adoption, utilization, ROI, and customer health.
- Represent Harvey within the in-house legal and legal ops community through advising and thought leadership.
Requirements
- JD or equivalent legal qualification.
- 12+ years of experience practicing law at a top-tier firm, with subsequent in-house legal experience at a leading enterprise.
- Deep understanding of in-house legal team operations, business interfacing, priority setting, technology decisions, and GC/legal ops pressures.
- Strong perspective on AI's impact on the legal industry, with empathy and communication skills to guide clients.
- Executive presence and client credibility, comfortable advising GCs and CLOs, and hands-on work.
- Proven ability to build functions from scratch, including playbooks and generating organizational momentum.
- Comfort with data-informed decision-making, defining outcomes, diagnosing risks, and adjusting strategy.
- High-agency operating style suited for a fast-moving, ambiguous, early-stage environment, favoring simple, scalable approaches.