Why eDiscovery Needs Business Intelligence
Document review accounts for 73% of total eDiscovery costs, which in turn comprises some 70% of total litigation costs for cases that don’t go to trial. The advent of advanced analytics and machine learning have ushered in a new era of efficient, prioritized review, however these advances still depend heavily on human judgment and review efforts for successful results. To control the cost, time and quality of review, you need to know as much as possible about your team’s activities, as well as the data they’re reviewing:
● Which reviewers are achieving higher (and lower) productivity?
● When and how are they getting their best work done?
● Where are they finding critical documents, and what data types are they?
● Which review environments are yielding the best results?
● How do these results change when I go from issue to issue, day to day, reviewer to reviewer, and data type to data type?
Business Intelligence (BI) helps practitioners optimize the legal - and business - process we know as eDiscovery by reaping the fullest benefit from the interaction of human effort and advanced technology . BI is the natural next evolutionary step in eDiscovery processes, just as it has impacted other industries already.
True BI is about far more than reports — it’s about empowering typical users to self-direct their inquiries, exploring the available data freely. It’s about users being able to save, update and share their results easily. It’s about users learning from what the data tells them so they can take meaningful action.
For example, in a retail context, a static report would tell a shop owner how many of a particular product they sold. BI would empower them to investigate why they sold that many by examining patterns over time, comparing with different product lines, and even introducing other data elements (like economic changes or weather patterns).
To understand the metrics around a document review process requires deeper insights than pre-canned, static reports can provide. Users need to be able to ask new questions on the fly and follow where the data leads. Most discovery participants are not skilled at SQL query scripting and chart design, nor do they particularly want to be. Data mining through review activity needs to be intuitive for the average user, something they can start doing right away without a training session or a user manual. It needs to be (almost) fun.
By providing total, user-driven visibility into a legal team’s review processes, BI helps case managers organize and improve review efforts and environments, staff review projects more intelligently, budget more predictably, and even enhance the accuracy and consistency of both linear and prioritized review.
Analyzing review activity is just the first step of a broader vision for the potential of BI within eDiscovery, yet it’s an important first step. After all, if you want to transform your review process with the power of advanced technologies, it’s critical that you make sense of the data around your team’s efforts and results.
Learn more about eDiscovery Business Intelligence by …
Reading the Solutions Brief: Business Intelligence for eDiscovery
Watching the OnDemand Webinar: Total Visibility for eDiscovery Review
Reading the Blog Post: Why eDiscovery Needs Business Intelligence
And then …
Read Recommind’s eBook, The 7 Habits of Highly Effective Litigators (Who Really Aren’t Wild about eDiscovery)
This content is advertising.
