TAR is the future of eDiscovery.
Even before the exponential increase in digital data production, legal professionals are burdened as they navigate through an overwhelming number of e-mails, text messages, business documents, data collected from various platforms like project management tools, HRMS, etc., and instant messaging apps (Slack, MS Teams) data, and more to find key evidence.
Legal professionals not only have to review these documents in a timely manner, but also have to ensure accuracy and cost-efficiency.
Our TAR (Technology Assisted Review) technology uses predictive coding and Continuous Active Learning (CAL) to improve the document review experience and solve significant eDiscovery challenges such as time limitation and high cost. The solution is completely integrated with our document review platform to maximize its usage on large data sets in minimal time.
It provides efficient methodologies for case teams to prioritize, categorize, or qualify documents during the review process. Additionally, the solution has quality control capabilities, including random sampling and conflicting decision reports that quickly identify inconsistencies in decisions between different document groups.
Here's What to Expect
Optimized eDiscovery Cost
Improved Review Quality
Identify Gaps in Production Set
Check out how our AI powered TAR solution helps you find relevant documents out of voluminous data.download brochure
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