AI Innovation Specialist - San Francisco Bay Area (930-SLS)

Solutus Legal Search , LLC•San Francisco, CA

47d•$200,000 - $240,000

About The Position

Our client, a thriving global publicly traded technology leader, is looking for its first AI Innovation Specialist to join the corporate Law Department. This is a newly created, high-impact individual contributor role, designed to drive the identification and deployment of strategic AI-driven solutions across the department. Reporting directly to the Deputy General Counsel, the AI Innovation Specialist will serve as a dedicated specialist, responsible for the adoption of AI tools to power legal work and serving as a solution builder and strategic advisor. You will play a key role in identifying opportunities to optimize critical legal workflows, ensuring successful adoption and improving the overall effectiveness of the legal department.

Requirements

5+ years of experience in legal operations, legal technology, or technical roles supporting legal teams, with a focus on automation and AI.
Demonstrate strong technical skills, including system administration and workflow automation.
Deep understanding of legal processes, contracting, and stakeholder dynamics within large organizations.
Strong understanding and hands-on experience implementing AI-driven technologies within a legal department.
Deep understanding of AI tools used in the legal industry (e.g., AI-powered legal research, document review, risk assessment).
Possess excellent problem-solving abilities and can translate legal business needs into scalable technical solutions.
Proven ability to work with cross-functional teams in large-scale projects/programs, preferably in a Legal department.
Ability to balance technical and business considerations in the development of AI and automation solutions.
Excellent communication and change management skills across legal, procurement, and business stakeholders.
Experience with CLM tools, redlining workflows, document review platforms and other legal tools.
A background demonstrating technical fluency, such as a CS, Engineering, or Math degree, or equivalent technical experience.
Genuine curiosity about AI/ML applications and hands-on experience with LLM tools.
Experience or proficiency with no-code/low-code platforms for workflow automation

Responsibilities

Lead the design and implementation of automation and AI solutions for legal processes, helping teams streamline workflows and adopt new AI-powered solutions.
Work with external vendors to assess, select, and implement third-party AI and automation solutions that meet the requirements of the legal teams and their internal clients.
Collaborate with legal teams to enable AI tools for case management support, risk analysis, summarization, drafting, document review, and reporting, among other use cases.
Assist legal teams in the full lifecycle of automation projects, including identifying needs, gathering requirements, managing implementations, and driving post-deployment adoption.
Troubleshoot technical issues across legal platforms and coordinate resolution with IT and vendor support teams.
Advise legal operations and procurement teams on best practices to scale the impact of AI tools while ensuring compliance and consistency.
Provide thought leadership on the future of legal technology, particularly automation and AI, guiding legal teams in embracing these innovations.
Collaborate with legal, cross-functional, and IT teams to align automation and AI projects with broader business objectives and legal priorities.
Coordinate across key internal stakeholders, including IT, Finance, Internal Audit, and Business Units, as well as legal leadership, to drive measurable impact.
Support change management initiatives to ensure the smooth adoption of new tools and processes across the legal department.
Create and execute communication plans and user training to inform and support stakeholders of new technology implementations, enhancements, and process changes.
Track key performance metrics as needed, such as cycle times, cost savings, and user adoption rates, to ensure continuous improvement.