Legal GenAI Platform; Harvey Specialist

King & Spalding is a leading global law firm with a commitment to excellence, innovation, and the seamless delivery of legal services. We harness innovative technology and exceptional talent to meet the complex needs of our clients in a fast-paced and dynamic legal landscape.

Legal GenAI platforms, such as Harvey, are widely adopted by K&S lawyers and have become central to the delivery of legal services and redefining the way we work with our clients.

We are seeking a Legal GenAI Platform Specialist to lead the integration and ongoing management of legal generative AI solutions. The Platform Owner will be responsible for the full lifecycle of the firm’s Legal GenAI platforms (such as Harvey and other solutions), ensuring these tools deliver measurable value to our lawyers and clients while upholding the highest standards of security, ethics, and client service.

Platform Leadership & Strategy

• Oversee the deployment and integration of GenAI solutions into existing legal workflows, including K&S Canvas, iManage, legal research platforms, and eDiscovery services.
• Work closely with IT, security, and data teams to ensure seamless, secure, and scalable platform operations.
• Lead pilots, proofs of concept, and phased rollouts, capturing lessons learned and driving continuous improvement.

• Collaborate with Enablement and Training teams to develop training, documentation, and best practice resources for lawyers and staff at all levels, including onboarding, certification programs, and practice-specific modules.
• Establish and support a network of AI champions and super users within each practice group, assisting in activities such as prompt management and promotion for reuse.
• Gather user feedback, monitor adoption metrics, and drive initiatives to maximize engagement and value realization.

• Ensure all platform use aligns with firm policies, client guidelines, and regulatory requirements.
• Develop and maintain protocols for data privacy, ethical AI use, and quality control, including review and validation of GenAI outputs.
• Collaborate with the General Counsel, Privacy, and Security teams to manage risk and respond to client inquiries regarding AI use.

• Define and track key performance indicators (KPIs) such as AI-assisted matter volume, revenue, profitability, and user satisfaction.
• Analyze platform impact on alternative fee arrangements, write-offs, and matter efficiency.
• Report regularly to firm leadership on platform performance, challenges, and opportunities.

• Bachelor’s degree required; JD or advanced degree in law, computer science, or related field strongly preferred.
• 5+ years of experience in legal technology, product ownership, or legal operations, ideally within an AmLaw 100 firm or legal tech provider.
• Deep understanding of generative AI, legal workflows, and the unique requirements of law firm environments.
• Demonstrated experience leading technology adoption, change management, and cross-functional collaboration.
• Strong project management skills, with the ability to manage multiple initiatives and stakeholders.
• Excellent communication, training, and interpersonal skills, with a client-focused mindset.
• Familiarity with legal data privacy, security, and ethical considerations related to AI.
• Experience with cloud-based legal platforms, AI tools (e.g., Harvey, CoCounsel, Microsoft Copilot), and integration with legal practice management systems is highly desirable.

The firm offers a generous total compensation package with bonuses and raises awarded in recognition of individual merit-based performance. All full-time Business Services employees may participate in King & Spalding’s comprehensive benefit program including health and wellness plan, life and disability insurance, flexible spending accounts and a health savings account, a 401(k) plan, profit sharing plan, and a substantial Paid Time Off (PTO) program.

Pay Transparency Range:

Washington D.C.:
The anticipated full-time annualized salary range is $130,000 to $180,000

New York:
The anticipated full-time annualized salary…