July 9, 2014
An article titled ZyLAB’s Mary Mack on Predictive Coding Myths and Traps for the Unwary on The eDisclosure Information Project offers some insight into the trend of viewing predictive coding as some form of “magic.” This idea is quickly brushed aside and predictive coding is allocated back to the realm of statistics and technology. The article quotes Mary Mack of ZyLab,
“Machine learning and artificial intelligence for legal applications is our future. It’s a wonderful advance that the judiciary is embracing machine-assisted review in the form of predictive coding. While we steadily move into the second and much less risky generation of predictive coding, there are still traps and pitfalls that are better considered early for mitigation. This session and the session on eDiscovery taboos will expose a few concerns to consider when evaluating predictive coding for specific or portfolio litigation.”
In this article ZyLab offers a counterpoint to Recommind, which asserted in a recent article that predictive coding was to eDiscovery like a GPS is to driving cross-country. ZyLab prefers a much more cautious approach to the innovative technology. The article stresses an objective, fact-based discussion on the merits and pitfalls of predictive coding is a necessary step in its growth.
Chelsea Kerwin, July 09, 2014
July 9, 2014
The article on Recommind titled Why eDiscovery Needs GPS (And a Soundtrack) whimsically applies the basic tenets of GPS to the eDiscovery process with the aid of song titles. If you can get through the song titles bit, there is some meat to the article, though not much. He suggests several areas where predictive coding might make eDiscovery easier and more efficient. The author explains his thinking,
“A good eDiscovery navigator will help you take a reliable Estimation Sample… early on to determine the statistically likely number of responsive documents for any issue in your matter. It will then plot that destination clearly, along with the appropriate margin of error, and show your status toward it at every point along The Long and Winding Road. It should also clearly display the responsiveness levels you’re experiencing with each iteration as you review the machine-suggested document batches.”
The type of guidance and efficiency that predictive coding offers is already being utilized by companies conducting internal investigations and “reviewing data already seized by a regulatory agency.” The author conditions the usefulness of predictive coding on its being flexible and able to recalculate based on any change in direction.When speed and effectiveness are of paramount importance, a GPS for eDiscovery might be the best possible tool.
Chelsea Kerwin, July 09, 2014
May 1, 2014
OpenText has a special place in the Overflight archive. The company once sort of supported the Autonomy IDOL engine in something called RedDot. Then OpenText sells mainframey search systems like Information Dimension’ now really old BASIS system and the BRS/Search system. Love those green screens! Somewhere inside the company is Dr. Tim Bray’s SGML search and data management system. And for the history buffs, can you name the 1983 technology that continues to influence Hummingbird, another OpenText information system. Now I am sure I have notes on the Nstein technology, a once much hyped search, indexing, and management system. I grow weary.
I just read “OpenText Launches Discovery Suite to Capture and Create Value in Big Content.” The write up announces something that OpenText has been selling for years. The buzzwordage is notable, and you can find my view of content processing jargon in this six minute video.
What I noted was the probably unintentional inclusion of some Latinate sentence structures and a near miss on a type of poetry not practiced since William Carlos William riffed on red wheelbarrows. Here’s the melodious sequence I noted:
OpenText can integrated the unintegrated, structure the unstructured, and manage the unmanaged.
I am sorely tempted to add some lines like “support the unsupported,” but I will not.
Stephen E Arnold, May 1, 2014
February 21, 2014
Many organizations are looking for SharePoint to perform outside of its regular boundaries. So for those that are specifically looking for e-discovery capabilities, Search Content Management has good news in their article, “SharePoint 2013 E-discovery Makes Strides in Mining Exchange Server Data.”
The article says:
“SharePoint 2013 offers new integration with Exchange Server, which can ease the burden of e-discovery. E-discovery enables finding, preserving, analyzing and producing content in electronic formats as required by legal proceedings or investigation. SharePoint’s new e-discovery capabilities with Exchange Server are a major boon for records managers tasked with retrieving information in Exchange mailboxes.”
Stephen E. Arnold is a longtime search expert and the man behind ArnoldIT.com. He frequently covers the ups and down of SharePoint, and a common theme is users’ desire to get the most mileage out of their SharePoint implementation. For these organizations, the bells and whistles of SharePoint 2013 are going a long way.
Emily Rae Aldridge, February 21, 2014
February 10, 2014
Discovery and preservation in SharePoint has long been a time consuming and intense process. However, several good add-on solutions have created a simple and faster method of eDiscovery, including Index Engines’ 5.1 Release. Read more in the PR Web story, “Efficient SharePoint ESI Collection and Preservation Highlights Index Engines’ 5.1 eDiscovery Release.”
The article says:
“Time and access to data for eDiscovery increased with Index Engines’ 5.1 release, which provides litigation support professionals direct indexing of SharePoint for selective culling and collection and also provides support for Exchange 2013 data. Previously, SharePoint extraction was an arduous process that can require the need to copy the data to disk before indexing.”
Stephen E. Arnold is a longtime leader in search, and therefore a longtime follower of SharePoint and enterprise search. His information service, ArnoldIT.com, devotes a lot of attention to SharePoint and the latest tips and trends. Arnold often finds that while SharePoint is a large powerful platform, it is not easily customizable and users often turn to smart add-ons to enhance their satisfaction.
Emily Rae Aldridge, February 10, 2014
January 27, 2014
Many case-based operations can be simplified by e-discovery tools, which are now built in to the SharePoint 2013 suite. SearchContentManagement explains how in their article, “Using SharePoint E-Discovery for Enterprise Content Management.”
The article begins:
“With any Microsoft release, part of the challenge is getting a handle on its tools — not just how they work but also the best way to use them. SharePoint e-discovery functionality in SharePoint 2013 provides specific enterprise content management advantages — but only if you think about your usage scenarios up front.”
Stephen E. Arnold is a longtime leader in search and the man behind ArnoldIT.com. He often covers SharePoint in his information service, as he follows the trends of enterprise search and content management. He research makes it clear that while SharePoint still has the lion’s share of the market, customers are constantly looking for increased functionality. It seems that is what SharePoint is trying to give them as they work to expand their customer base, and keep their existing one.
Emily Rae Aldridge, January 27, 2014
January 15, 2014
The article ZyLAB Launches Intellectual Property Protection Program For Big Data on MetroCorpCounsel discusses the announcement by software developer ZyLAB only a few months after their thirtieth anniversary. The new program contains components of eDiscovery and Information Risk Management along with libraries that users can customize to protect and localize intellectual property. It is intended for use mainly by commercial enterprises in safeguarding their often-unprotected IP.
The article explains:
“The ZyLAB Intellectual Property Protection Program has been developed to support commercial organizations in protecting these important assets.
With ZyLAB’s eDiscovery and Information Risk Management System companies can locate Intellectual Property on their computer systems and actively prevent leakage or theft of this sensitive and valuable information. A user-installable library containing best practice methodology for eDiscovery enables the automatic identification of files that may contain IP. The library is available as an add-on to the ZyLAB platform.”
This process makes it much easier to notice those employees storing large amounts of IP in their emails or other personal locations, because it recognizes information that includes IP automatically. The prevention of data leakage ensures that companies will not have to face the loss of revenue, but also helps them to avoid lawsuits. As in so many areas, prevention beats cleanup when it comes to IP, according to chief strategist at ZyLAB Johannes Scholtes.
Chelsea Kerwin, January 15, 2014
November 22, 2013
The newest upgrade for kCura’s eDiscovery platform Relativity is available. Version 8.1 includes a boatload of new features as told to us buy Globe News Wire in the press release, “kCura Releases Relativity 8.1.” The inventory option is the release’s flagship feature, it allows users better options for gaining insights and filtering data prior to processing. Along with requested speed upgrades, there are thirty-five other items that kCura added to 8.1.
The article states:
“ ‘Relativity 8.1 is packed with new features and we’re excited to share the release with our users,’ said Andrew Sieja, president and CEO of kCura. ‘The team has done a lot to improve core review functionality and has made major strides with our fully integrated processing engine—all while significantly improving performance in many areas of the software.’ “
Most of the feature upgrades are tied to speed, but the Relativity assisted review and analytics gives users a summary of results with statistics along with high-quality analytics. The workflows have been streamlined and the platform has improved REST API, coverage for dtSearch and analytics, better API performance, and new handler types. Is your excitement building so much that you cannot wait to download 8.1?
Think about this before you press the download option. kCura is an acknowledged leader in its field, but we have heard it incorporates third party solutions. Not the best idea when it comes to customer support.
Whitney Grace, November 22, 2013
November 11, 2013
The Minneapolis/St. Paul Business Journal reports on the cost of litigation in the article titled How Much Will the Next Lawsuit Cost? Kroll Ontrack Tech Can Tell You. The product line recently released by Kroll aims to keep legal defense budgets under control as Big Data drives them upward. The products emphasize a repeatable approach to ediscovery, as opposed to the standard treatment of every project as new.
The article explains:
“For instance, an analysis may reveal that a business’ chief product officer kept every memo received since 1985, driving up the cost of data mining. The company could then encourage the officer to shred paper more often, reducing legal costs going forward. Analyzing the cost of past cases makes it easier to predict future legal costs, Hager said. “You can budget for litigation the same way you budget to close financial books or the same way you budget for payroll.”
Some of the products include Ediscovery for Portfolio Management, which turns the management of ediscovery findings as a portfolio, a collaboration rather than individual projects, Ediscovery.com Review, which allows for wide-ranging control over data and costs, and Ediscovery.com Collect, a product made to help manage time and cost in the collection of ediscovery data.
Chelsea Kerwin, November 11, 2013
October 5, 2013
The eDiscovery process is part of big data, so it does not come as a surprise when “Recommind Raises $15M From SAP Ventures To Transform Unstructured Big Data Analytics” says MarketWatch. Recommind already provides governance, unstructured data management, and analysis, but it is making a strategic move to enter the big data game. It raised $15 million in a Series C funding round from SAP Ventures. Recommind will use the monies to meet market demand for its CORE (R) technology platform and expansion into the big data market.
Unstructured data plays a big role in everyone’s jobs and lives and Recommind believes it can take solution to the next level of advancement:
” ‘Unstructured data is the largest, fastest-growing part of modern business, and right now it is managed ineffectively,’ said Recommind CEO Bob Tennant. ‘This impacts you whether you’re a CIO, an attorney, a contract analyst, an IT professional or someone who needs to find documents on an important project. Legacy solutions can’t keep up in an age of information overload. We need a new way to access, analyze and govern information — one that is both intelligent and highly automated. With our CORE platform, we have the opportunity to solve some of the most difficult and costly problems in the enterprise.’ “
Recommind already has a big data product even through it is marketed as an eDiscovery tool. The company’s predictive coding technology has revolutionized the legal field. The success will probably be duplicated in big data. Good move for the company.
Whitney Grace, October 05, 2013