e-Discovery Briefs: Relativity, Predictive Coding, the National Press

3 minute read
Marisa Peacock avatar

For those involved in the document review process, a few recent announcements from the e-Discovery industry may provide ways to speed up, enhance and otherwise streamline your approach.

Review is all Relative with RenewData

In January, Digital Reef partnered with kCura’s review platform Relativity. As a result, Relativity users were able to execute search, while analyzing data using Digital Reef tools, without leaving the Relativity user interface. This month, RenewData is leveraging the Relativity platform to help streamline the review process for its hosted solutions, Vestigate (Elite and Pro versions) and Anagram.

As you may recall, Anagram helps to reduce risks with its transparent and defensible keyword methodology. Vestigate provides greater transparency into why and how decisions are being made.Both of these tools help to improve tagging consistency, allowing for greater analysis of the language of a case and ultimately lowering the total review cost. Because users can perform first- and second-pass review with a single sign-on and without moving data between platforms, highlighting relevant information and tagging the document for appropriate issues within a document is simplified.

Promoting Predictive Coding

Want to learn more about predictive coding and how it can help you optimize the review process? Earlier this week, Recommind launched www.predictivecoding.com, an online resource dedicated to explaining and demonstrating Recommind’s predictive coding capabilities for expedited document review.

Obviously the site helps to promote Recommind’s product, but it also provides case studies, workflows, news and relevant information about the process, making it a resource for general counsel and IT departments.  Predictive coding can analyze, prioritize and code documents in a data set. Typically, predictive coding is compared to a linear review process, which can often be tedious to carry out. While predictive coding doesn’t automate the process entirely -- a part that’s important to its defensibility -- it automates it just enough so as to save time and money while increasing the quality of review.

Learning Opportunities

e-Discovery Goes Primetime

While the topic of e-Discovery is always of interest to CMSWire, national media outlets don’t often cover it. Yet, this month alone, e-Discovery has been covered by Forbes and the New York Times.

The Forbes article, which appeared on its blog and was written by attorney Ben Kerschberg, discusses the vast amount of data being created by companies and the inherent need for a cloud deployment of a unified legal repository. Kerschber writes

Point solutions cobbled together from different vendors to address specific cases is no longer enough. Legal Departments must adopt a coherent approach to e-Discovery such as a unified legal repository that meets its needs across the enterprise and under one umbrella."

The New York Times approached e-Discovery from the perspective of jobs. The effectiveness of e-Discovery, as it turns out, is stealing jobs away from lawyers, which is having a noticeable effect, especially in the current economy. While the article does boast of the efficacy and need for e-Discovery in a corporate culture knee-deep in data and regulatory standards, it does also acknowledge its limits. NYT’s John Markoff writes

These new forms of automation have renewed the debate over the economic consequences of technological progress. … Automation of higher-level jobs is accelerating because of progress in computer science and linguistics."

The article, which gives recognition to a few e-Discovery industry vendors such as Clearwell, Cataphora and Autonomy, does a reasonable job at explaining both the need for e-Discovery and its technology, yet presents e-Discovery technologies as “nice to have," rather than a “need to have” application. At this point in time, companies can’t afford to go without a search, discovery and review process -- whether it’s manual or automated.