Searching for Emojis in Relativity

A Relativity admin can make it possible to search for emojis in a Relativity workspace. A dtSearch index can be edited to include a special code that will enable the ability to search for a range of different emojis.

An existing dtSearch index can be edited. On the Alphabet tab , in the section marked '[End]' the following code can be entered:

TokenCharRanges32 = 1f000-1f0ff 1f300-1f6ff 1f700-1f77f 1f900-1f9ff

After the index is saved, it will be necessary to build the full index. Click on the option on the console to the right.

The process may take some time.

When the index is rebuilt, it will be possible to enter the image of an emoji and then locate it the extracted text of any document in the search results. Press the Windows key + period to bring up an emoji chart.

More on RelativityOne's Staging Explorer

The Tip of the Night for September 23, 2021 discussed how to use Relativity Staging Explorer to upload and download data for RelativityOne, and tonight's tip provides some additional detail.

Staging Explorer is a great asset. It will transfer metadata without altering it, and can help you transfer more then 60 GB of data or more than 100,000 files in as little as an hour. It's possible to access Staging Explorer through the RDC . . . .

Staging Explorer has some limitations which you may run up against.

• Only one instances of Staging Explorer can run on a Windows operating system.

• You will need to have your firewall set to allow for outbound connections on particular ports. A connectivity check must always be performed before initiating a transfer in Staging Explorer. Access it through the drop down menu at the top right.

• Files with paths longer than 470 characters cannot be accessed.

• Staging Explorer will not let you mount an .iso image file from a disc.

• No more than 10 million files can be set to transfer at once.

Using Cluster Visualization to Prioritize Review

The Tip of the Night for August 6, 2019 and August 7, 2019, discussed how to use cluster visualization to double check coding for responsiveness in Relativity. Note that Relativity recommends also using cluster visualization to perform other common document review tasks, including prioritizing the review of the documents most likely to relevant, when you have little time to review a large document set. Follow these steps to accomplish this:

Keyword filters can be applied after visualization has already been run on a cluster. See the Boolean search added in the Keyword Search box in the red box in the below screen grab. This generates a heat map, in which the documents that should be prioritized will be in the darkened circles.

These dark clusters can be mass edited so they are added to a field used to batch them for prioritized review.

When the keyword filters are run on the visualization, and when a specific circle is clicked, the search panel at the lower left will update.

Collapse the cluster visualization by clicking on the arrow at the top left, so the document list is shown.

The Edit mass operation can be used to designate the documents in a field, which can in turn be used to batch the documents.

The Edit mass operation will prompt you to select a layout.

Click on the pencil icon to begin to edit the layout. Check the appropriate field, keeping in mind that if the box is just shaded, the value in this field will be left as is.

The documents in the list generated from the cluster visualization can be added to saved search so they can be used as a batch data source.

Enable the 'Auto Batch' setting to create the batches as quickly as possible for the prioritized review.

You can right click on the darker cluster in the heat map and select the option for 'View Nearby Clusters', to find additional documents which should be added to the same batch set.

This option will show which conceptually similar documents should be batched as well.