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The Challenge A team of two attorneys faced a tight budget and an even tighter deadline. Close of discovery loomed, and extensive document review » Read More

Parsing massive volumes of data for responsive documents within the often-restrictive timeframes imposed by litigation is challenging for any company. During eDiscovery, workflows must » Read More

Exploding data volumes coupled with high costs have made the search for affordable, fast, and defensible eDiscovery technology a top priority for legal professionals. » Read More

Using Smarter AI via our KIBIT AI engine we then process your data set. This results in fewer documents, with greater relevance, for review. In turn, our clients spend significantly less time during the discovery review phase leveraging KIBIT Automator’s AI technology.

A more thorough and introductory explanation of this topic was originally featured on the ACEDS Blog. Attorneys often calculate recall and precision estimates based » Read More

Last year, Maruyasu Industries, an auto parts manufacturer of steel tubes, was fined $12 million for its role in a criminal conspiracy to fix » Read More

The new General Data Protection Regulations (known as GDPR) rules were agreed upon in Brussels in 2015 and took effect in May, 2018. GDPR » Read More

A previous post on Chinese, Japanese and Korean (CJK) related eDiscovery outlined the language and technical challenges presented by Asian language content.  Once the » Read More

The ever-growing, complex web of privacy protection laws around the world directly impacts how multinational corporations can comply with demands to respond to a » Read More

Economic integration in the ASEAN region, public investment, increased M&A activity, and the expansion of foreign and domestic multinational corporations are driving regional legal market » Read More