Two Words For E-Discovery Savings: Less and Faster

There’s a very good post on Clearwell's e-discovery 2.0 blog, "How To Reduce Electronic Discovery Costs," that breaks out the discovery process into sections of potential cost savings. It’s a good overview and it’s evidently the first part of a series.

The post reinforces a few of the issues we’ve discussed here, mainly that to reduce discovery costs, you should focus on trying to review less data and review that data faster. There are a couple of recent examples I’d like to share that show just how much money can be saved in implementing this approach.

First, a client called with what seemed like a good-sized matter – more than 70 gigabytes of collected ESI that needed to be reviewed and produced on a tight deadline. The reality was that the data had not yet been processed, culled, or de-duped; so we immediately knew that there were opportunities to dramatically reduce the amount of data to review. The combination of the right technology (coincidentally, it was Clearwell’s early case assessment tool), the right hosting company and good project management paid off on that case. The original 70 GB was reduced to less than 5 GBs of data that required review – a 93% reduction. Our team of attorneys was able to complete the review of this data within days versus weeks and the law firm was able to meet its production deadlines at a fraction of the cost of traditional methods. Success stories such as these are very common when it comes to reducing data.

The other example is a client whose discovery we’ve handled for the last 12 months. We have project managers and several attorneys dedicated to their matters, and what we’ve seen is that with each matter that comes in the door, the process has become increasingly efficient. Because the review and quality control workflow had already been mapped out, and because the team was already familiar with the client’s data, and the project manager had established relationships with the company’s internal IT contact as well as the company’s preferred review software vendor, those usual start-up measures and learning curves are consistently avoided. The result has been a repeatable process, a shortened timeframe to begin the review and higher review rates once the review begins; in fact, review rates on the first matter were more than double what the company was accustomed to and have increased an additional 50% from the first matter to the most recent. The best result was that the client saved more than $1.5M during this handful of matters.

These examples show that if you have the right processes in place, the knowledge and expertise of the right technology, and the relationships with superior hosting companies and vendors, you can save the time and expense of reinventing wheel for every matter.
 

Early Case Assessment + Content Analytics = True Savings

We often hear about the most important factor in creating a cost-effective e-discovery review: the review rate of the attorneys. Without question, the use of a content analytic review tool has greatly enhanced the ability to increase review rates for attorneys who know how to use these tools -- by 3 to 10 times versus a linear tool.

This improved productivity goes directly to the bottom line and dramatically reduces the largest component of the e-discovery cost structure: the attorney reviewer expense. Content analytic tools also greatly reduce the manpower and duration required for review.

Here’s where people often get stuck: The upfront cost of using a content analytic tool is (usually) significantly higher than that of a linear review tool. But as many have discovered, those upfront costs are typically recouped many times over by the end of a case because of the efficiencies that are gained in using a content analytic tool. The additional good news is that there’s a way to decrease the upfront costs by culling the amount of data needed for the review. These early case assessment tools are equally, if not more important, to the bottom line.

Early case assessment software platforms (such as Clearwell, Metalincs, and Autonomy’s Aungate Investigator & ECA, among others) enable corporations and law firms to dramatically and intelligently reduce the amount of data that needs to be reviewed. These programs offer a sneak peak at the data at a fraction of the cost of loading for review with a typical content analytic tool. In addition to standard culling methods like de-duplication and file-type extractions, early case assessment tools provide a means to develop legally defensible keyword searches, identify key players in the litigation (or more importantly identify non-players), and allow for bulk coding of clearly non-relevant materials or potentially privileged documents prior to loading into the review platform.

A quick example: A company's initial collection totals 300,000 documents for review. Using an early assessment tool, that number is dramatically reduced through de-duplication (20%), excluding privileged documents eliminates (another 10%), performing a multi-phrase keyword search (25%) and identifying the responsive data set (70%). The final number of documents to be loaded into the content analytic tool: 48,600 (or just 16% of the original collected documents).

Common volume reduction achieved through an early case assessment tool is 70-80% (the companies mentioned above have case studies on their respective websites that detail even greater reductions). The point is clear: reducing the volume of data, combined with the increased speed in which it can be reviewed via a content analytic tool, is a winning combination for corporations and law firms seeking to better manage e-discovery matters.

It’s always fun to be part of a meeting in which the realization sinks in that not only will the work product be better, but it will save hundreds of thousands (if not millions) of dollars.