DOAR Direct™ is designed to accelerate the document review process, improve reviewer consistency, and support a flexible e-discovery workflow without requiring prior native or TIFF file conversions. A native file viewer provides the ability to review documents in their native format without requiring each application to be loaded on a reviewer’s workstation. Both text search and hit highlighting within documents are also available, increasing reviewer productivity.

Decision-Tree Tagging creates the ability to tag individual or sets of documents using a multi-layer tree structure. This directs reviewers into key decision points, preventing errors and minimizing the number of clicks needed to accurately tag a document. Customization capabilities allow administrators to create different tag sets and decision-trees and control tag access.

Full redaction capabilities enable reviewers to quickly and easily redact documents in multiple colors, apply reason codes, and verify redactions prior to production. Reviewers have the ability to auto-redact keywords, phrases, and personal information such as names, Social Security numbers, credit card numbers, and phone numbers. Additionally, you can automatically create a privilege log of all privileged documents that can be included in the production.

Native and Image-Based Production support allows users to produce documents in native, TIFF, or PDF formats. Flexible export options allow for multiple metadata formats (EDRM XML, DAT, CSV, etc.), “re-duping” of data by custodian, and preservation of original folder hierarchies.

Integrated production folders allow review teams to create production sets using the same folder features utilized during review, enabling a highly collaborative approach to building accurate production document sets. Bates stamping automates the sequential numbering of documents and supports the application of custom labeling of produced documents using headers, footers, and watermarks.

Rolling production support enables batch productions at any point in the e-discovery process. Users can track the progress of each production in real-time and view produced document sets in the exact format provided to outside parties.