1-click access
allows reviewers to focus on learning about the case, not the tool
Up to 95%
reduced review burden over traditional document review
15x Faster
processing speed over traditional methods
Deep insight into case evidence, where and when you need it
Upload Evidence
Your team can upload evidence using Self-Service to quickly ingest, assess, report, and stream millions of documents directly into document review, fast. Self-service places powerful processing capabilities at the point of need and provides visibility into processing job status and completion.
Uncover & Understand
Leverage advanced analytics, combining concepts, timelines, email threading, and similarity matching to gain deep insight into related data and communication patterns. Allows you to quickly determine dataset strengths and weaknesses.
Efficient Document Review
The document reviewer puts the document at the center of attention allowing you to focus on the work at hand. Our modern, intuitive interface makes it easy to view and tag relevant case documents and provides single-click access to document batches, ensuring your team will avoid reviewer document collision.
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AI in eDiscovery: Expectations vs. Reality
There are a lot of claims of “Artificial Intelligence” in the market, but when people hear the term AI, they often think of science-fiction, with robots doing the work that humans had done before. But as Aaron Swenson, Director of Product at Ipro, says: “In Legal, you don’t want the AI doing the work for you. You want it to help you ask the right questions, show you insightful trends in the data.” AI in eDiscovery, by Ipro.
Download this white-paper to learn how AI can help you streamline your eDiscovery process & reduce costs.
Ipro's Hybrid approach to eDiscovery
Flexibly manage data environments and hosting costs by deploying on-premises, in the cloud, on desktop or a hybrid option, while seamlessly integrating with your existing internal systems. Regardless of the deployment option, your data is secure, supported, and easily managed regardless of size or file type.
