Gaurav Gurjar
2 min readAug 6, 2019

Artificial Intelligence in Electronic Discovery

Whenever I think about any future comfort-zone in the field of Electronic Discovery, I found myself end-up with an idea of having a tool for end-user.

Eggs of Intelligence in e-Discovery
Photo by Landon Martin on Unsplash

An End-user can understand what they think for litigation matters. They can have their terms get added into their own tool like noting down something on paper and then get instant functionality projections out of that.

A dream come true with your briefcase.”

Firstly, you always want to inject your collected data under an anti-virus protection procedure and want to quickly get a report out of that for a selection of what sort of files you need to pull out from your messy data.

Photo by Carlos Muza on Unsplash

You select emails, PDFs, XLS files and important content out of android or an iPhone data. But yes! We always got left with to find the proper keywords to search out our responsive documents or content.

We want to add a bunch of keywords to make a proper search for review. So again we need to get attach with our briefcase sort of package tool to get our jobs done.

Numbering: The most crucial part in here for daily activities. We got to analyze documents so we need to number our documents in a precise manner that can help us to understand what sorts of documents with prefix ABC is assigned to whom to review. Well. that’s where we need to assign the copious types of documents with different numbers or with alphabetical numbers so even if I assign the particular numbers of range for somebody to review for me. I can get an easy track out of it. So, whenever I want to produce the documents I can do that with pinging out the numbers or with the tag of person name to whom I shared my documents for review. I feel this sounds pretty cool. Isn’t it?

Let me know what you think.

Note: Though, Opinions are my own.

Gaurav Gurjar
Gaurav Gurjar

Written by Gaurav Gurjar

I share compassion with people, data and business intelligence. Contributed to data products worth of $2M-$20M, Wrangled data size of 10KB-20PB

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