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.

 

Click here for direct access to the PDF version of the comparative overview between TAR and Visual Classification.

 

 About RedFile

Based in Houston, TX, RedFile Global is the world’s foremost provider of technology consulting and services for the implementation, management, and hosting of visual classification technology in corporate and governmental information governance pilots, projects, and programs.

To learn more about RedFile, visit RedFile.com and connect with us on Twitter (@RedFile) 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 RedFile/technology.

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