AI Adoption Specialist
Listed on 2026-06-24
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IT/Tech
AI Engineer (Applied/Software)
About Us
At Winston Taylor, we set the standard, together. Winston Taylor is a transatlantic law firm built for the businesses, people, and markets driving capital and innovation. Here, you're in the room. In the action. Sleeves rolled up. You'll work with leading clients. Disruptors. Fast-growth companies. And help them to stay one step ahead of the moment and make critical decisions that shape their future.
We're present in the U.S., U.K., Europe, Latin America, and the Middle East, combining the scale and speed that clients demand. You'll be trusted with real responsibility from the outset and build experience through hands‑on work. We take your progression personally. We provide the platform. You shape the work around your goals and aspirations. Step into the moments that matter.
Join Winston Taylor.
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.
- 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:
Build 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. - Ado…
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