Learns and suggests
as you review
Intelligent algorithms find interesting information fast.
Find relevant documents, people, and dates.
Dive In Without Drowning
Dive into the pool of evidence without drowning-- let intelligent algorithms find interesting information fast.
Minimum Input Maximum Output
Cues from your most minute activities trigger intelligent algorithms to suggest relevant people, documents, dates, & data.
Responsive Technology Responsive Finds
The first AI-based case evaluation system in eDiscovery that learns & suggests as you review.
Arrive at Results Intelligently & Efficiently
You've got an intelligent assistant to help form the story of your case. Ultimately, helping you decide whether to litigate or settle more efficiently.
Casepoint has provided a simplified but feature rich solution that has streamlined our litigation support procedures and translated into significant cost savings.
Andrew Wright, Legal Counsel, Marriott International
Introduction to CaseAssist
Features
© Casepoint 2018
What does Artificial Intelligence for eDiscovery look like?
See the main features of how AI can help eDiscovery process and review in this easy to understand infographic.
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Legal Technology Competence— for non-techies
So you’re not a techie? Legal technology competence doesn’t need to be a pain. Our world is digital; virtually, no pun intended, every document is an e-document or generated through an electronic system.
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How AI is transforming eDiscovery
Inspired applications of AI already touch many areas of our lives. Cars are using AI to learn how to drive themselves. Retail websites use it to suggest new products we might like...
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Still Doing Linear Document Review?
eDiscovery has come a long way. Once used for reviewing scanned paper, modern eDiscovery technology is now capable of analyzing and categorizing millions of...
Read More...Casepoint with CaseAssist Pre-Installed
CaseAssist is the state-of-the-art machine learning technology
included in the Casepoint eDiscovery platform.
How CaseAssist Works
Get Started with Casepoint
January 2018: Newly released sneak peek of our application