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Envize provides powerful machine-learning eDiscovery analytics to help you focus on the critical documents in an eDiscovery review, so that you can get your work done faster – and better.
Envize is a robust data analytics framework that brings uniquely scalable and flexible machine-learning based solutions, including patent-pending batch selection and stability measurement methods to any document review process.
Envize integrates with industry-leading review platforms so that you don’t have to manually move ESI between systems. You can painlessly leverage a unified workflow between the powerful machine-learning analytics of Envize and your document review system.
Robust data analytics framework that brings scalable and flexible machine-learning methods to any document review process
Continuous active learning functionality, process flexibility, and immediate review availability make Envize a clear choice.
Legility Envize’s easy-to-use interface and large document capacity, combined with batch selection and training stabilization, make process visibility and workflow flexibility possible.
Legility Envize’s novel approach to data clustering provides yet another example of a differentiated solution helping cut review time and cost.