Senior Analyst, Innovation and AI

White & Case LLP•Palo Alto, CA

1d•Onsite

About The Position

The Senior Analyst, Innovation & AI will support the firm’s Innovation & AI strategy by coordinating, executing, and scaling key innovation, legal technology initiatives across the firm. The role will focus on managing technology pilots, developing and refining practice use cases, and supporting the design and deployment of client-facing solutions that enhance service delivery and create new value for clients.

Requirements

Bachelor’s degree required
Experience in a law firm, professional services, financial services, or technology/consulting environment, with exposure to legal operations, innovation, or technology implementation.
Demonstrated experience managing or supporting technology projects or pilots, ideally involving AI, automation, data analytics, or legal/transactions technology tools.
Familiarity with AI and automation concepts (e.g., machine learning, NLP, generative AI) and their application to legal workflows and transaction processes.
Strong understanding of legal technology tools (e.g., document automation, contract review, due diligence, deal management, data rooms, collaboration platforms).
Solid project coordination or project management skills, including scoping, requirements gathering, testing, and stakeholder communication.
Proficiency with standard business tools (e.g., Excel, PowerPoint) and comfort working with data, dashboards, or basic analytics.
Proven ability to work effectively with partners, lawyers, and business services teams, including the ability to translate between legal/user needs and technical requirements.
Strong analytical and problem-solving skills, with the ability to break down complex processes, identify inefficiencies, and propose practical technology-enabled solutions.
Excellent written and verbal communication skills, including the ability to prepare clear documentation, presentations, and training materials.
High level of organization and attention to detail, with the ability to manage multiple matters, pilots, and stakeholders in parallel.
Collaborative, client-service mindset, with a focus on driving adoption, measurable value, and continuous improvement.
Curiosity and adaptability, with an interest in staying current on emerging AI, legaltech, and transactions technology trends and best practices.

Nice To Haves

A degree in business, information systems, computer science, law, or a related field preferred.

Responsibilities

Coordinate and manage end-to-end innovation, legal technology, and transactions technology initiatives, from initial concept through pilot and implementation.
Lead structured pilot programs, including scoping, requirements gathering, solution configuration, user testing, feedback collection, measurement of outcomes, and go/no-go recommendations for wider rollout.
Act as a central liaison between partners, lawyers, business services teams (including IT, Knowledge, BD, and Risk), and external vendors to ensure alignment, clear communication, and timely delivery of initiatives.
Develop, document, and refine practice-specific technology use cases, including articulating problem statements, desired outcomes, and measurable benefits.
Support the design, build, and deployment of client-facing tools, dashboards, and solutions that leverage AI, automation, data, and legal technology to enhance client service and differentiate the firm’s offerings.
Work closely with transactional and other practice groups to identify opportunities to improve efficiency, consistency, and quality in matter and transaction delivery through process improvement and technology.
Prepare and maintain project documentation (e.g., project plans, status reports, requirements documents, testing scripts, training materials) to support effective execution and governance of initiatives.
Develop and deliver training, demos, and guidance materials to lawyers and business services teams to drive adoption and effective use of new tools and solutions
Monitor, measure, and report on the performance and impact of deployed tools and initiatives, using agreed KPIs and feedback to recommend enhancements and continuous improvement.
Contribute to the ongoing refinement and execution of the firm’s Innovation & AI strategic roadmap, providing insights from pilots, user feedback, and market developments.