Australian ediscovery software provider Nuix has has announced wins with the Criminal Investigations division of the US Internal Revenue Service (IRS) as well as divisions of the U.S. Department of Justice (DoJ) and the Department of Homeland Security (DHS).

The IRS has replaced a legacy eDiscovery system with multi-user Nuix licenses to be used by investigators in its criminal division. The IRS states a number of reasons for selecting Nuix, including its appealing, intuitive nature that allows users to start using the software within a very short introduction period.

They also state that Nuix’s other advantage is the unmatched rate at which unlimited amounts of eDiscovery data can be processed, indicating that this would help to maintain current litigation workloads as well as prepare for anticipated workloads in the future.

The US Securities and Exchange Commission also selected Nuix based upon its ability to speed up investigations and its ability to handle large amounts of data. The SEC Enforcement attorneys and litigation support specialists are using the Nuix system to rapidly prepare document collections in the conduct of investigations and litigation.

Multiple divisions of the Department of Justice have implemented Nuix, in an effort to speed up their eDiscovery support and investigation processes. Nuix is geared primarily toward the litigation support process in one division, whereby data is processed, indexed, and culled, early case assessment is conducted, and the final data set can be loaded directly into a document review tool. The DoJ is also using Nuix to support its forensic division. Another division of the DoJ is relying on Nuix to support criminal investigations of large volumes of digital evidence.

“The fact that such major government agencies are replacing existing systems with Nuix is a testament to the speed and functionality of our software,” stated Nuix CEO Eddie Sheehy. “Nuix is the most effective system on the market for handling difficult file types and large data volumes in a short timeframe.”