![]() Long experience has taught me however that doing these kind of exercises manually, examining each document and doing a qualitative analysis of the relevance of the document for inclusion in discovery is far preferably to relying on automatic sorts. Its also easy to set up a smart group to match emails from a particular address based on the standardised way Email archiver prints the email headers onto the pdf. I replicate the emails and attachment to be discovered into a separate single directory so I don’t interfere with the original directory tree in case I have to refer to them later for reference. There are scripts in this forum which make that task easier. After the directory tree is imported into DT, its a matter of working through the directories and pruning them for irrelevant attachments and converting the attachments into pdfs. Its also easy to do this manually.ĭT can import the whole of the directory tree produced by Email archiver. ![]() I use automator scripts to traverse Email archiver’s directory tree and convert common formats, such as word and text document and images into pdfs. When the email body is converted to pdf the quicklook preview of each of the attachments is also included in the pdf. ![]() The attachments are in a separate directory bearing the same name as the email. It will take a folder of email from Mail (or Outlook too now I believe), and produce a neat hierarchy of files and folder where the body of the email is converted to pdf (including headers) and named with a unique identifier. ![]() My goto tool for doing this is Email archiver. The best way to manage your task is to first convert your emails to PDF prior to pulling them into DT. If you are going to be using the emails in a lawsuit then at some point they are going to have to be in PDF format for printing. ![]()
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