Discovery360 leverages all document data to find unique relationships, allowing faster review and more effective coding. Discovery360 also reduces your legal risk by enabling you to find documents that might have been missed in a traditional review. For example, while analyzing a document collection, you will typically find a set of relevant documents of some importance based on any number of criteria. Discovery360 lets you quickly and easily find other documents that share those same attributes. This capability is available to you because Discovery360 is designed on the principle that every document has a personality. A document personality is defined by a unique set of attributes that describe its format, content, history, and more. These attributes can include metadata, custodian identification, authors, dates, concepts, and document type among others. With a few clicks of the mouse, you can find those unique relationships and immediately cull documents into smaller, relevant sub-sets.

How Discovery360 works:

1	Use Document Intelligence to find a set of documents that are relevant to your case with our powerful search tools.
2	Learn what makes each document unique by viewing all its attributes: Keywords Metadata Similarity Concept Folders Document Type Custodian BriefBags/Folders Recipient Author Dates Coding Fields Native File Type Original Location Viewed/Unviewed Annotated Collections Productions And More
3	Ask Discovery360 to "show me others like this one," based on the same selected relevant attributes. Show me: Concept Folder = [ Contract ] Now show me: Custodian = [ Bob Jones ] And show me: Date = [ June 2000 ]
4	Within seconds, you've found the sub-set of related documents. With Discovery360, what used to take weeks can now be completed in seconds!

Key advanced analytic features of Discovery360 include:

• Document Attribute Clustering
• Allows users to locate documents automatically organized into groupings such as custodians, keywords, data ranges and many other important metadata items. This capability improves the efficiency of finding groups of related documents based upon their unique "personalities."
• Concept Analysis
• Allows users to locate documents that are automatically organized into groupings based on subject matter. By working within a sub-set of documents related to the same content, reviewers can code multiple documents in a single step.
• Concept Searching
• Allows users the ability to match other words that mean the same thing as the main keyword or phrase that is being searched. For example, by searching "contract," users also can quickly find all documents containing the same meaning -such as "agreement" and "engagement."
• Similarity Matching
• Allows users to quickly identify duplicate and near-duplicate documents by comparing every document to all others in the database. This capability prevents documents from being missed and allows for coding to be applied consistently across similar documents.
• Email Thread Analysis
• Allows users to review related email conversations, which can simplify and accelerate coding of email messages by providing a complete history of email conversations.
• Time Line Analysis
• Allows users to understand the chronological relationships between selected documents.
• Native Review
• Shortens the time to begin review by examining documents in their native file format without the need to convert to image files.

Want to test-drive our patent-pending technology? Contact us today.