Predictive coding cuts the cost of e-discovery

Category: Electronic Disclosure

17 August, 2012

E-discovery can be a costly and time consuming process, particularly if businesses are relying on only a team of lawyers to determine what documents are relevant.

Given the sheer volume of information businesses produce, even if documents and emails are only skim-read, the time can quickly add up and so can the bill.

Indeed, some figures indicate that document review could account for around three-quarters of e-disclosure costs.

The advent of predictive coding therefore has been a huge benefit for companies seeking to reduce their litigation costs.

But as well as reducing the time it takes to identify documents to be produced, therefore shrinking legal bills, predictive coding can even be more accurate, as it uncovers an average of 77 per cent of relevant documents. A human team identifies closer to 60 per cent.

Where litigation is based on thousands or even millions of electronic documents and email exchanges, this difference could uncover a smoking gun and cut out human error.

Electronic Disclosure– Kroll Ontrack has the technological strength, expertise, and commitment to ensure your success in managing small e-disclosure projects as well as large volumes of electronic evidence legally, accurately and cost-effectively.