Joel A. Levine PLLC saves 160 hours per month with EvenUp Demands™
As a high-referral firm, Joel Levine's team frequently received cases needing immediate attention and cleanup, and lacked an efficient, accurate way to prepare demand letters and organize medical provider data.
EvenUp saved the firm at least a full-time position worth of work (160 hours a month) by producing high-quality demands requiring minimal editing, while also reducing errors, increasing negotiating power, and enabling better client results.
Frequently asked questions
What did this team achieve with this AI workflow?
EvenUp saved the firm at least a full-time position worth of work (160 hours a month) by producing high-quality demands requiring minimal editing, while also reducing errors, increasing negotiating power, and enabling…
What tools did this team use?
EvenUp Demands™.
What results were reported?
Staff time saved per month: at least a full-time position (160 hours a month); Demand editing required: minimal editing before sending out; Errors in demand prep: reducing errors; Negotiating power: increasing their negotiating power (source-reported, not independently verified).
How is this legal document review AI workflow structured?
High-referral cases arrive → EvenUp generates demand documents → Medical provider data organized → Review and send demands.