By now, it is common knowledge that an e-mail thread is generally organized with the oldest string of the communication at the end of the document, and the most recent string of the communication at the beginning of the document. It all makes good logical sense, right? The hidden Achilles Heel of e-discovery is a set of ESI that is not so orderly and coherent.
I do not normally want to high five Federal judges, but Judge Ronald Buch, a Tax Judge in Texas, sure deserved one after his Dynamo Holdings opinion.
The Lexbe eDiscovery Processing System (LEPS) converted the entire 53 GBs of the EDRM Enron Dataset, with 5 million page equivalents, into industry-standard TIFF images in only 5.3 hours. To accomplish this task in this short time, LEPS programmatically deployed and utilized over 60 parallel server instances, and maintained a sustained throughput rate of 240 GBs/day (23 Million pages/day) for Native to TIFF processing.
Keeping up with innovation in eDiscovery can be quite challenging given the various approaches, commentators and providers weighing in on each real or perceived innovation. This week’s cartoon and clip features a strategic approach to driving innovation (cartoon) and a non-all inclusive running listing of mergers, acquisitions and investments in the eDiscovery arena (clip).
In the absence of a black swan recently happening to you and your organization, how can you convince the powers that be that they should take some preventive and/or precautionary course of action to stave off a subsequent disaster? These questions have direct relevance to the matter of “selling” information governance to the C-suite in our increasingly Big Data world.
BR’s visual classification technology enables data management, analysis and governance tasks. BR technology automates the collection, reduction, classification and governance of large volumes of data. It is unique in the fact that it supports data in any file structure, format or type within one platform.
Federal judiciary officials on Tuesday approved proposed changes to court rules that could reshape how discovery is handled in civil litigation—for better or for worse, depending who you ask.
More than half of CEOs will have a senior “digital” leader role in their staff by the end of 2015, according to the 2014 CEO and Senior Executive Survey by Gartner, Inc. Gartner said that by 2017, one-third of large enterprises engaging in digital business models and activities will also have a digital risk officer (DRO) role or equivalent.
eDiscovery workload, the use of predictive coding and projected rate of adoption of technically assisted review are all up significantly, according to a new report by recruiting and staffing firm The Cowen Group.
Keeping up with the promises and problems of Technology-Assisted Review (TAR) can be quite a challenge given the amount of writers and writing on the subject. This week’s cartoon and clip features a way to make the challenges of TAR look smaller (cartoon) and a non-all inclusive listing of recent articles on the topic of TAR (clip).
“We’ve spent an awful lot of money on technology, but I still see people working in the old way,” complained the CFO of a large hospitality company. The result is often widely deployed internal applications that no one actually uses effectively. Why does this happen?
There is little doubt today that we need an emerging legaltech startup vertical. But where will it come from? Any startup ecosystem needs inputs, energy, and direction in order to grow and thrive. In 2014 and beyond, these won’t simply self-create, but are rather a product of identifying a need and building, with purpose and intentionality, from there. There are several structural and practical facts, perhaps obstacles, that come into play in the legaltech space. The first is that legaltech startups often need to build in stealth because they are founded by practicing lawyers.
Some of the most vicious fights occur when families get together for the Holidays. Maybe there’s something in the turkey that brings it out. Grossman and Cormack have responded to my blog posts about their articles with a good deal of vitriol, but without addressing the fundamental questions I raised.
Done right, information governance captures the institutional memory of the people in an organization about the documents that have been used to record its activities over time. There are usually a few key people who know which business units have developed specific reports or forms for specific items, when the information in those reports or forms changed or when the reports or forms were discontinued, what information is contained in decommissioned or legacy systems, and what unique document types may have been acquired during the organization’s assimilation of other companies or assets.
There has been some debate recently about the value of the “eRecall” method compared to the “Direct Recall” method for estimating the recall achieved with technology-assisted review. This article shows why eRecall requires sampling and reviewing just as many documents as the direct method if you want to achieve the same level of certainty in the result.
“Big data.” It seems like the phrase is everywhere. The term was added to the Oxford English Dictionary in 2013 and appeared in Merriam-Webster’s Collegiate Dictionary in 2014 . Now, Gartner’s just-released 2014 Hype Cycle shows “big data” passing the “peak of inflated expectations” and moving on its way down into the “trough of disillusionment.” Big data is all the rage. But what does it actually mean?
This guest blog constitutes the first public response by Professor Cormack and Maura Grossman, J.D., Ph.D., to articles published by one vendor, and others, that criticize their work. In the Editor’s opinion the criticisms are replete with misinformation and thus unfair.
Major players in the oil and gas industry, particularly oilfield services companies, understand that Big Data analytics can provide valuable insights that will help make exploration, production, manufacturing, and global operations more streamline, safe, and efficient. Leaders in the industry are already implementing Big Data solutions into their everyday operations and reaping the rewards of this long-term investment.
It is now widely recognized that predictive coding can, in fact, considerably reduce the cost and effort of eDiscovery and increase its accuracy. The pundits have turned lately to discussions of how predictive coding can “best” be implemented. But the technology used is only one part of the equation that determines the ultimate cost and accuracy of predictive coding. The human factor remains important as well.
In a recent blog post I noted that the average enterprise data center saves all data forever. For many of the storage administrators at these data centers, that’s petabytes of data growing at the compounded annual growth rate (CAGR) of 30% and more. Yes, the practice becomes hugely expensive and therefore seems irrational. And yes over the long term we can all agree that it’s unsustainable. But as I said in my previous post, it’s been this way for years—in fact, decades. Save-everything-forever is the default data retention policy and will be for the foreseeable future unless…
Information management: 5 big questions answered There are many reasons for the dramatic proliferation of data , and this, alongside changing consumer behaviour, is having a a profound effect on the role of the Chief Information Officer. Canon recently held an ‘Information at Work’ event that looked at how data was impacting the workplace, so we caught up with the company’s Director of Information Security, Quentyn Taylor, to find out what messages are coming out of the information segment at present. Here are his responses to our five key questions. TechRadar Pro: What is causing the massive influx of [...]
Assisted review is merely one way for attorneys to find their way through mountains of evidence.
Herb Roitblat continues to argue that how you cooked your eDiscovery turkey in the laboratory may not be a good indicator of its taste or wholesomeness when served from your kitchen.
A recent U.S. Department of Justice memorandum questioned the effectiveness of using technology-assisted review with non-English documents. The fact is that, done properly, such reviews can be just as effective for non-English as it is for English documents. This is true even for the so-called “CJK languages” — Asian languages including Chinese, Japanese and Korean.