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Why Attorneys Should Shift to TAR 2.0 Solutions

Many attorneys use technology assisted review (“TAR”) solutions to help streamline their practice. It can help with document review, case assessment, contracts, and other litigation tasks. One major draw of TAR is that it reduces effort and cost related to eDiscovery, while also improving accuracy. Numerous studies have concluded that TAR provides results that are superior to manual review. As the years go on, this software continues to improve and provide even more benefits to the legal industry.

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The Benefits of Using Auto-Classification Software for Information Governance

It’s not enough for organizations to simply capture and store data and information. They also must synthesize and understand it so they can act on it. Most employees will lack the time, training, and information management skill set needed to classify and file things properly. This makes it challenging for information governance professionals to efficiently analyze organizational data. But, automated software exists that can help.

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Auto-Classification Aids Information Governance and Electronic Discovery

Machine learning allows computers to understand data and act on it without being explicitly programmed. Auto-classification, also known as auto-categorization or other terms, such as predictive coding or content analytics (depending on the application), uses computers to make valuable information more accessible and useful. 

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