Litigators are already intimately familiar with the identification, collection, review, and production of unstructured data such as emails, documents, and paper. More recently, they are faced with the task of collecting and producing data from formats such as financial or accounting systems, transactional databases, chat, voicemail, or even social media. While there are many tools on the market designed to efficiently and defensibly review and produce documents, few address this new frontier.
What Is Nontraditional Data?
To understand what "nontraditional" data means, it is important to first understand how traditional data is defined. In the context of e-discovery, traditional data refers to unstructured data that is not organized in a predefined manner or free-form text documents that are typically user-created. Examples include email, Microsoft Office files, or paper documents scanned and converted to images.