AI Innovation Specialist - San Francisco Bay Area (930-SLS)
@ Solutus Legal SearchAI Innovation Specialist - San Francisco Bay Area (930-SLS)
This job is still taking applications, but it's been up a while.
About the job
Global tech company seeking an AI Innovation Specialist to lead AI-driven legal solutions, optimize workflows, and support strategic legal tech initiatives. Role involves collaboration, project management, and ensuring successful AI adoption in legal processes.
Requirements
- 5+ years legal technology experience
- Proven AI and automation skills
- Strong problem-solving abilities
- Experience with legal AI tools
- Cross-functional project work
Qualifications
- Legal operations or tech background
- Degree in CS, Engineering, or Math
- Experience with no-code platforms
- Strong communication skills
- Hands-on with LLM tools
Full job description
Role and 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.
Desired Experience and Qualifications
- 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
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