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Washington, DC - AI Adoption Specialist

Job in Washington, District of Columbia, 20022, USA
Listing for: Winston Taylor
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management, AI Evaluation, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 155000 USD Yearly USD 120000.00 155000.00 YEAR
Job Description & How to Apply Below

Position Summary

The AI Adoption Specialist supports attorneys and business professionals safely and effectively leveraging generative AI and other emerging technologies to improve quality, efficiency, and client outcomes. Working under the guidance of program leaders, this role collaborates with practice groups and business teams to learn workflows, help identify practical use cases, and assist with day-to-day enablement—training support, draft playbooks, communications, and hands‑on user assistance—so users can integrate approved tools into their work.

This role reports directly to the Director of Legal Technology & Innovation. This role helps reinforce responsible AI practices by promoting appropriate data handling, confidentiality, and human oversight; supporting governance and risk‑aligned adoption efforts; and contributing to impact tracking and continuous improvement.

Position Responsibilities
  • Support GenAI adoption efforts:
    Execute adoption plans and own day‑to‑day enablement activities that help drive safe, effective adoption of approved generative AI tools and related workflows—during implementation and at scale—including user guidance on appropriate use, human review, and value measurement.
  • Collaborate with practice groups and cross‑functional teams:
    Engage with practice groups to understand matter and business workflows, help identify GenAI opportunities and adoption barriers, and assist with tailoring enablement approaches that align with risk, confidentiality, and client requirements.
  • Engage stakeholders and users: B uild and maintain relationships with stakeholders to set expectations, explain GenAI capabilities and limitations, and encourage responsible adoption. Assist with documenting and sharing vetted use cases (and anti‑patterns) that demonstrate value while protecting client confidentiality and firm data.
  • Support and conduct workshops to enable AI‑enabled work:
    Assist with developing and facilitating workshops that build practical skills (e.g., prompt techniques, iterating safely, verifying outputs, citing sources where appropriate) and confidence to integrate GenAI into drafting, research, analysis, and knowledge work with appropriate attorney oversight.
  • Help develop and maintain responsible AI enablement materials:
    Develop and update resources—guides, playbooks, training assets, FAQs, and best practices—that help users get started and mature over time, including guardrails for confidentiality, data classification, attribution, and human‑in‑the‑loop review.
  • Communication and change management:
    Develop and deliver targeted communications that explain benefits, constraints, and approved ways of using GenAI tools. Assist with identifying and enabling champions to share safe success stories, reinforce standards, and accelerate adoption through peer learning.
  • User onboarding:
    Implement role‑based onboarding pathways that help individuals and teams begin using approved GenAI tools safely, including just‑in‑time training, recommended starter use‑cases, and reminders on confidentiality, verification, and escalation routes for questions or issues.
  • User training:
    Facilitate and deliver structured adoption programs that encourage consistent use of legal technology and generative AI, with emphasis on prompt discipline, output validation, bias/hallucination awareness, and quality control.
  • Adoption and value metrics:
    Track and summarize adoption, user engagement and feedback to support program reporting and continuous improvement. Assist with monitoring usage (e.g., access frequency, feature utilization) and outcomes (e.g., time saved, quality improvements, client impact), and raise potential risk signals (e.g., misuse patterns) to appropriate stakeholders.
  • Stay informed of product developments:
    Stay current on enhancements to firm‑approved GenAI and legal technology solutions and help update guidance and training materials as new features are introduced.
  • Improve AI‑enabled user experiences. Provide actionable feedback, adoption barriers, and risk learnings with Information Services teams (e.g., Practice Innovation, Knowledge, Risk, Security, and IT) to support enhancements and help improve…
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