10 reasons to upgrade eDiscovery Bundle

Are you using eDiscovery Bundle version 3.9 or earlier, here are 10 good reasons to upgrade:

1. Redaction Reason Text and Code
   You can now redact documents and include redaction text and code at the same time.
2. Search within a Single Document
   You can now search within a single document.
3. Shift+Click Selection of Documents
   To bulk select multiple contiguous items from the list (in Document List View), select an item, press the Shift button and select another item from the list (Shift+Click). The selected documents and all documents in between will be selected. Add individual items to this group by selecting them. Deselect items by selecting them again.
4. Create and Manage Mini-Productions
   You can now produce a set of documents as (numbered) PDF files that can be downloaded and shared easily.
5. Exclude Inline Attachments from Production
   You can now exclude inline attachments (embedded objects) from your production. In most situations, inline attachments in emails are part of a signature or represent a logo. Attachments like, for example, a screenshot or a PDF file, will still be included in the production.
6. Show Indexing Status
   Two new columns are added: Indexing Error Code and Indexing Error Message. These columns show whether a document was, for example, password protected, unsupported, corrupt, gave a timeout during indexing, etc.
7. Export Redaction Information
   You can now add Redaction Information to reports in CSV format.
8. Enable NSRL Filtering
   To show that NSRL (or NIST) exclusions exist, you can now select the check box 'Enable NSRL Filtering'. With that check box selected, it is logged and reported that NSRL files existed in the original collection, but were excluded.
   Now, when creating a new matter, you can enable NSRL filtering for all collectors.
9. Filtering Report
   Categories of filtered documents are: Documents Excluded due to No Processing Rule Assigned, NSRL Exclusions. This reporting works for all Legal Processing collectors.
10. Improved Concordance Collector
    The Concordance Collector imports documents using a delimited text file, the load file (usually in the .dat format). This file contains fields that are linked to documents. When importing these documents the fields and field values from the load file are added to the metadata of the corresponding documents.
    
    

Read the attached What's New document to learn more about release 3.11.