The For Review - Unique Items Only Filter
It's in preview, and I think the logic is sound - I'm still not using it.
A couple of weeks ago, I mentioned that this old filter had a new look and that a “Preview” tag was included, which made me wonder if I should look at it again.
I did. But before we get into what I found, I have a question. Who designed this UI for a review set in Premium eDiscovery? I’ve seen some poorly designed interfaces in my time, but enabling this filter in a review set and trying to see the details of what it is doing is truly abysmal.
I’m getting ahead of myself, though. Let’s talk about what this filter is. Two filters get automatically generated when you run document and email analytics in a review set. One is a filter for immaterial items. That filter returns images based on their file extension under 3072 bytes and containers like .zip, .gzip, etc.
That is a reasonably acceptable definition for immaterial items, and I have no beef with how it has worked. Some may argue that the file size should be higher or lower, but it makes sense.
The “For Review” filter is a little more complex, and this is where the interface makes me crazy. Here’s what it looked like when I first applied it and tried to look at the details:
If you can’t make out the scroll bar on the right, it’s at the bottom of the page but only displays the first two filters and zero documents. I had to set the browser view to 50% to get the filter settings into one screenshot. (And that still had no document list. You have to collapse the entire filter to see any documents.) Ugh!
The filter is looking for:
Emails that are inclusive and unique in the thread. (Not duplicates)
Unique email attachments
Unique documents
Unique conversations
Any file type where the “Marked as Representative” field is empty. (Not identified as unique or duplicate)
This also seems logical, but with this one, the proof has always been in the pudding - the results from the document and email analytics.
In the past, I had issues with how Microsoft identified duplicates. With the updates to this filter, could it be possible that those issues have been dealt with, and eDiscovery pros could use this to cull their collected data?
Not so much.
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