reDock Redactor allows organizations to quickly remove references to client names, people, and pricing information for their documents.
Video (2 min)
Hi. I’d like to introduce reDock Redactor for an organization who may wish to remove sensitive information from their documents prior to a trial or moving into production.
The use case here is really for documents like this. Suppose you have Word documents which contain comments which may contain sensitive information. You may have names, like Elon Musk here. You may have reference to dollars, project values and so forth. Or track changes, which may contain proprietary information. We also have the same event here, where we have comments and names right on this PowerPoint file.
Really, the approach is relatively simple. You have a source folder, which contains the files that we just reviewed, and then there’s this dictionary. This dictionary contains pairs of terms, names, or client names you want to replace. Elon for Jeffrey, Musk for Quentin, SpaceX for Rocket Z, and so forth.
Really, the process is really simple. You execute this Java file, and essentially, it takes the source folder and creates a redacted output. We can provide the source code for this, no problem, to make sure you know what you’re running.
If we go to the redacted, essentially, here we see that even the file names have changed. If I open the Word document, I see that I have my “Profile: Billionaire Entrepreneur Jeffrey Quentin.” There’s no more comments, so, all comments have disappeared. We have $99 here, so the reference to numbers and currency was changed to $123, so, that’s totally anonymized. And then, notice that the track changes have been completely removed.
This is equally true for the PowerPoint. Right? That’s the new one; Jeffrey Quentin, and then no more comments.
As such, it’s very easy for you to prepare the data to experience an amazing trial, reDock, and see if this is something that could have value for you.
Thanks a lot! Bye.