Comparing Technology Assisted Review and Visual Classification
Technology Assisted Review (“TAR”) and visual classification take two different approaches to classifying documents. TAR uses the text associated with the documents being classified while visual classification bases its analysis on graphical representations of those documents.
TAR is an outgrowth of tools designed to extract meaning from collections of textual content. Visual classification was developed as an enterprise-scale information governance tool for completing document-centric initiatives like content migration, archive digitization, silo consolidation, and archive digitization.
The different approaches and origins of TAR and visual classification lead to major differences in awareness, comprehensiveness, transparency, repurposing work product, attribute extraction, redaction, and correcting document boundaries among other things.
A detailed comparison of TAR and visual classification and their respective roles in information governance and eDiscovery is provided below.
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Founded in 2011 as DW Legal and based in Houston, TX, BeyondReview is a data-driven discovery services company that uses visual classification technology and expert review attorneys to deliver end-to-end discovery with power, precision and speed.
To learn more about BeyondReview, visit BeyondReview.US and connect with us on Twitter (@BeyondReview) and LinkedIn.
About Visual Classification
Visual classification technology enables data management, analysis and governance tasks by automating the collection, reduction, classification and governance of large volumes of data. Highlighted by Gartner and Forbes, visual classification technology is unique as it supports data reduction and classification of any data file structure, format or type.
To learn more about Visual Classification, visit BeyondReview.US/technology.