AI Adoption Specialist
Onward Search
Chicago, IL, United States
25 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$125,000.0 - $160,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Application Integration Architecture
Job description
A global law firm is seeking an AI Adoption Specialist to support their legal team. This opportunity is based in our client’s office with a focus on responsible AI integration. The role involves guiding users on AI tools, developing training resources, and promoting best practices in a regulated environment.
AI Adoption Specialist Responsibilities:
- Lead initiatives to implement and promote the use of generative AI tools across legal practices, ensuring safe and effective adoption.
- Engage with practice teams to analyze workflows, identify AI integration opportunities, and address adoption challenges.
- Build relationships with stakeholders to communicate AI capabilities, limitations, and responsible use standards.
- Assist in designing and facilitating training sessions and workshops to develop users’ AI skills and confidence.
- Create and update guides, playbooks, FAQs, and other materials to support responsible AI enablement and user onboarding.
Requirements
- Bachelor’s degree required; JD a plus.
- Minimum of 3 years’ experience supporting legal technology adoption or digital transformation, including AI-driven tools.
- Proximity to the firm’s office with the ability to be on-site 3-4 days weekly.
- Strong interest in legal tech, change management, and responsible AI principles.
- Excellent communication skills, with a track record of engaging diverse audiences.
- Knowledge of legal operations, law firm workflows, or legal service delivery is preferred.
- Familiarity with AI concepts like privacy, confidentiality, and human oversight strongly preferred.
- Ability to create clear, role-specific guidance and training materials.
- Analytical mindset to assess adoption metrics, user feedback, and risk signals.
- Strong organizational skills to manage multiple projects and stakeholder inputs.
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