“Unstructured” content is a term used to describe content stored on file shares, personal computing devices, and content management systems. A major challenge to making effective use of such content is that words can have multiple meanings, and a name can refer to more than one person. Even worse, there can be multiple forms of […]

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(To download a PDF version that you can read offline, click here.) Summary 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 […]

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Documents in file shares, content management systems, and scanned archives are often described as “unstructured.” However, there is typically a high level of structure in and interconnectedness among those documents. This structure and interconnectedness occurs because specific document types contain recurring attributes or data elements and those attributes or data elements are shared with other […]

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Because of the significant reputational and financial consequences of failing to protect content containing personally identifiable information (“PII”), corporations and governmental agencies have made it a major goal to identify and protect such content. Privacy expectations arise from a number of laws in different jurisdictions and are sometimes referred to by various acronyms such as […]

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Text analytics does some remarkable things with what it’s able to see, but in one critical aspect it is a giant leap backwards to the days of telegraphs and stock ticker tapes when information was delivered on continuous strips of paper with just numbers, letters, and basic punctuation printed on them. In those days, the […]

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The ediscovery blogosphere and social media networks have been lighting up recently with the Great TAR 2.0 Debate with industry veterans John Tredennick, Maura Grossman, Gordon Cormack, and Ralph Losey launching persuasive arguments that the continuous-active learning version of technology-assisted review (“TAR 2.0”) is the superior method of ediscovery document review. Could be, if the […]

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Much has been written about how to use advanced tools to select and produce electronic discovery. However, for every producing party there is a requesting party that has to review and analyze the produced documents. Unequal Footing. While producing parties have detailed knowledge about what was searched, the limitations of any tools used, and the […]

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Amazon is now offering the technical overview of Visual Classification: The Emerging Foundational Technology for Document-Related, Classification-Dependent Information Governance Initiatives. The short book, which can be downloaded and read on Kindle devices or Kindle applications on PCs or Android devices, provides an overview of the benefits of visual classification, and how it can be used as […]

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All document-related information governance initiatives rest on and depend upon consistent, comprehensive document classification. Without consistent, comprehensive classification, an organization can’t determine what to keep, how long to keep it, who should have access to it, and where to store it. For that reason, large organizations look to “auto-classification” to obtain the needed consistency at the […]

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Even though visual classification is one of the most significant developments in document-related information governance, many IG professionals are pressed for time. However, if you can spare less than a minute to learn about this impressive new technology, this is a 42-second animation that describes how visual classification works and how it can help your […]

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The BeyondRecognition Network

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