be with issues such as regulation or also responding to litigation in any

discovery now one issue that we do have is how do we get through that data and

an efficient and effective manner when it is large and complex and we don't

have much time to do it the preferred approach that we have is to use

technology one recent example we had with the client was they needed to go

through a huge amount of data and put it into twelve different categories in that

example we were sourcing our information from email shared drives local drives

and also from customer relationship management systems using the various

technologies that we have we started with 17 million documents we got that

down to 135 through keyword searches and then from there we were able to use

technology assisted review to further bring that down to only 15,000 documents

which we had to manually review the use of technology assisted review in this

case helped reduce error from humans reviewing large sets of data and then it

created a paper trail which we could go back to and then look at what had been

happening throughout the whole process technology assisted review is designed

to pull conceptually related documents together and prioritize those documents

for review it targets a small set of documents that is conceptually relevant

and uses documents that are not relevant that we can potentially disregard to the

left side of the chart the chart on the bottom tells us when the relevant race

deaths drop and when we can potentially stop our review and look at the

discarded sets and make a decision whether we want to continue or not

information obtained from a set of documents become our scope of searches

for additional data sources and details relating to a single customer can then

be linked for example in a document we can identify a customer and then in other

documents where that customer exists we can link those documents up to a group

and have them form together what we were able to do

as well is identify the valid voice recordings made by those customers to

the company and pull those together in the one review stream so through the use

of technology we increased our accuracy and thoroughness of the review