Teams at Draftwise

Embeds with law-firm customers to identify high-value workflow problems, define measurable outcomes, and translate findings into product requirements. Builds prototypes, automations, configurations, and evaluations using customer data and AI tools; coordinates with Product, Engineering, and ML through delivery; validates solutions with users; and converts recurring needs into reusable product capabilities and playbooks.

Own end-to-end client relationships for a B2B legaltech SaaS: drive adoption, retention, and expansion of AI-powered workflows; onboard and train lawyers; measure health metrics; surface product feedback; design scalable CS processes; and advocate for customers internally.