tag:blogger.com,1999:blog-74476000932809215582024-03-13T09:48:38.439-05:00InfoGovernance Engagement AreaNews, views, discussions and data associated with the field of electronic discovery.Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comBlogger340112tag:blogger.com,1999:blog-7447600093280921558.post-75274908336237974932015-04-01T07:41:00.000-05:002015-04-11T07:52:19.974-05:00Consolidation of Blogs: New Location of Content on ComplexDiscovery.comEffective April 1, 2015, the Information Governance Engagement Area blog will no longer be updated on a regular basis. New content ranging from news and events to opinions and assertions will now be available exclusively on the ComplexDiscovery blog at <a href="http://complexdiscovery.com/">ComplexDiscovery.com</a>.<div>
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Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-80299878064627122092015-03-27T08:38:00.000-05:002015-03-31T08:38:35.087-05:00Study Shows People Act To Protect Privacy When Told How Often Phone Apps Share Personal Information<blockquote id="mct_ai_excerpt" style="background-color: white; border: 0px; color: #666666; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; font-style: italic; line-height: 18px; margin: 1.5em; padding: 0px; vertical-align: baseline;">
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By Byron Spice</div>
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Message That Grabs Attention: “Your Location Has Been Shared 5,398 Times”</div>
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Many smartphone users know that free apps sometimes share private information with third parties, but few, if any, are aware of how frequently this occurs. An experiment at Carnegie Mellon University shows that when people learn exactly how many times these apps share that information they rapidly act to limit further sharing.</div>
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In one phase of a study that evaluated the benefits of app permission managers – software that gives people control over what sensitive information their apps can access – 23 smartphone users received a daily message, or “privacy nudge,” telling them how many times information such as location, contact lists or phone call logs had been shared.</div>
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<a href="http://www.cmu.edu/news/stories/archives/2015/march/privacy-nudge.html" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Read the complete article at: Study Shows People Act To Protect Privacy When Told How Often Phone Apps Share Personal Information</a></div>
Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-80216399811084918522015-03-26T08:37:00.000-05:002015-03-31T08:37:16.516-05:00Too Many Notes: In re: Lithium Ion Batteries Antitrust Litigation<blockquote id="mct_ai_excerpt" style="background-color: white; border: 0px; color: #666666; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; font-style: italic; line-height: 18px; margin: 1.5em; padding: 0px; vertical-align: baseline;">
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By Craig Ball</div>
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The core challenge of discovery is identifying information that is responsive but not privileged, achieved without undue burden or expense. There are multiple ways to approach the task, none optimal. The most labor-intensive method is called “linear human review,” where lawyers (for the most part) look at everything and cull responsive and privileged items. It sufficed in the pre-digital era when much effort and resources were devoted to recordkeeping. Despite being costly, slow and error prone, linear review was all we had, so became the gold standard for identifying responsive and privileged information.</div>
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<a href="https://ballinyourcourt.wordpress.com/2015/03/24/too-many-notes-in-re-lithium-ion-batteries-antitrust-litigation/" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Read the complete article at: Too Many Notes: In re: Lithium Ion Batteries Antitrust Litigation</a></div>
Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-12410331389227950392015-03-25T08:35:00.000-05:002015-03-31T08:36:15.333-05:00Frivolous Law Suits? 26+ Reasons to Laugh at eDiscovery (Cartoon and Clip)<div style="background-color: white; border: 0px; color: #515151; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; line-height: 18px; margin-bottom: 1.5em; padding: 0px; vertical-align: baseline;">
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<strong style="margin: 0px; padding: 0px;"><span style="font-size: small;">The Cartoon and Clip of the Week for March 25, 2015</span></strong></h3>
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Regularly we read, see and hear incredibly serious presentations and pontifications related to the theory, practice and business of electronic discovery. This week our cartoon and clip features a quick look at Rule 26(f) conference planning for a frivolous lawsuit (cartoon) and a quick reference link to a very serious retrospective listing of 26 eDiscovery-related cartoons (clip).</div>
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<a href="http://www.complexdiscovery.com/info/wp-content/uploads/2015/03/FrivoulousLawSuits590.jpg" style="border: 0px; color: #222222; font-family: inherit; font-size: 18px; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;"><img alt="FrivoulousLawSuits590" class="alignleft size-full wp-image-15837" src="http://www.complexdiscovery.com/info/wp-content/uploads/2015/03/FrivoulousLawSuits590.jpg" height="400" style="border: none; display: inline; float: left; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 3px 10px 2px 0px; max-width: 950px; padding: 4px 4px 4px 0px; vertical-align: baseline;" width="357" /></a></h3>
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<strong style="margin: 0px; padding: 0px;"><span style="font-size: small;">The Humor of eDiscovery: 26 Cartoons and Clips</span></strong></h3>
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<em style="border: 0px; font-family: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;"><span style="font-size: x-small;"><a href="http://www.complexdiscovery.com/info/category/cartoons/" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Click here</a> for a short retrospective of 26 recent eDiscovery-related cartoons and clips published on the ComplexDiscovery Blog.</span></em></div>
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Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-35753407850231294762015-03-23T09:57:00.001-05:002015-03-23T09:57:44.945-05:00Do smart machines require ethical programming?<blockquote id="mct_ai_excerpt" style="background-color: white; border: 0px; color: #666666; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; font-style: italic; line-height: 18px; margin: 1.5em; padding: 0px; vertical-align: baseline;">
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From Help Net Security</div>
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Realizing the potential of smart machines — and ensuring successful outcomes for the businesses that rely on them — will hinge on how trusted smart machines are and how well they maintain that trust. Central to establishing this trust will be ethical values that people recognize and are comfortable with. “Clearly, people must trust smart machines if they are to accept and use them,” said Frank Buytendijk, research vice president and distinguished analyst at Gartner. “The ability to earn trust must be part of any plan to implement artificial intelligence (AI) or smart machines, and will be an important selling point when marketing this technology. CIOs must be able to monitor smart machine technology for unintended consequences of public use and respond immediately, embracing unforeseen positive outcomes and countering undesirable ones.”</div>
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<div id="mct-ai-attriblink" style="background-color: white; border: 0px; color: #515151; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; line-height: 18px; margin-bottom: 1.5em; padding: 0px; vertical-align: baseline;">
<a href="http://www.net-security.org/secworld.php?id=18091" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Read the complete article at: Do smart machines require ethical programming?</a></div>
Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-29233691422450555072015-03-23T08:33:00.000-05:002015-03-31T08:33:52.839-05:00A Look Back: NetDiligence 2014 Cyber Claims Study<blockquote id="mct_ai_excerpt" style="background-color: white; border: 0px; color: #666666; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; font-style: italic; line-height: 18px; margin: 1.5em; padding: 0px; vertical-align: baseline;">
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From Traub Lieberman Straus & Shrewsberry</div>
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<a href="http://www.netdiligence.com/NetDiligence_2014CyberClaimsStudy.pdf" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">The NetDiligence 2014 Cyber Claims Study</a> relies on data voluntarily provided by insurers about amounts paid out on cyber claims occurring from 2011 through 2013. Since the Study only accounts cyber claims reported to larger insurers, NetDiligence believes its study only accounts for 5-10% of the total number of all cyber claims handled in those years.</div>
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Among the highlights, the Study found that the predominant type of information exposed in any cyber claim remains personally identifiable information (“PII”). Under a definition of PII expanded to include email addresses and passwords, 97% of the information exposed constitutes PII. The remaining data exposed included protected health information (“PHI”) under HIPPA and payment card information (“PCI”).</div>
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<div id="mct-ai-attriblink" style="background-color: white; border: 0px; color: #515151; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; line-height: 18px; margin-bottom: 1.5em; padding: 0px; vertical-align: baseline;">
<a href="http://www.jdsupra.com/legalnews/a-look-back-netdiligence-2014-cyber-cla-50680/" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Read the complete article at: A Look Back: NetDiligence 2014 Cyber Claims Study</a></div>
Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-27725987362399090712015-03-20T10:22:00.000-05:002015-03-23T10:22:34.683-05:00Ending the Debate on TAR Seed Sets<blockquote id="mct_ai_excerpt" style="background-color: white; border: 0px; color: #666666; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; font-style: italic; line-height: 18px; margin: 1.5em; padding: 0px; vertical-align: baseline;">
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By Hal Marcus</div>
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In the wake of Judge Peck’s recent Rio Tinto opinion on technology assisted review, the ediscovery blogosphere has been repeatedly quoting its bold pronouncements that judicial acceptance of TAR “is now black letter law” and that “it is inappropriate to hold TAR to a higher standard than keywords or manual review.” And rightly so — these statements appear intended to put outdated predictive coding debates to rest once and for all. Yet a good deal of the focus is going to the question Judge Peck raises but does not fully resolve: whether disclosure of TAR seed sets may be required.</div>
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<a href="http://www.recommind.com/blog/ending-debate-tar-seed-sets" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Read the complete article at: Ending the Debate on TAR Seed Sets</a></div>
Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-41674221107712909602015-03-20T10:10:00.000-05:002015-03-23T10:11:22.510-05:00‘Have you Taken Leave of Your Senses?': Top 10 Takeaways from 2015 LegalTech Judges Panel<blockquote id="mct_ai_excerpt" style="background-color: white; border: 0px; color: #666666; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; font-style: italic; line-height: 18px; margin: 1.5em; padding: 0px; vertical-align: baseline;">
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By Tamara Emory</div>
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At this year’s Legal Tech, I once again had the honor of moderating the Judges Panel, on which Judge John Facciola (D.D.C., retired), Judge Andrew Peck (S.D.N.Y), Judge Frank Maas (S.D.N.Y), and Judge Elizabeth Laporte (N.D.Cal.) presented. This time, we had a provocative topic (or, perhaps –as Judge Peck put it–, a depressing one): “What’s Wrong with Discovery?” The judges had plenty of insight into why discovery has become risky and expensive, what causes attorney misconduct in discovery, and implications for access to justice. Below are ten highlights of that discussion.</div>
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<a href="http://www.aceds.org/have-you-taken-leave-of-your-senses-top-10-takeaways-from-2015-legaltech-judges-panel/" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Read the complete article at: ‘Have you taken leave of your senses?': Top 10 takeaways from 2015 LegalTech judges panel</a> </div>
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Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-20653424682710181222015-03-17T10:49:00.000-05:002015-03-23T10:49:39.425-05:002015 Big Data and Analytics Survey<blockquote id="mct_ai_excerpt" style="background-color: white; border: 0px; color: #666666; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; font-style: italic; line-height: 18px; margin: 1.5em; padding: 0px; vertical-align: baseline;">
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By IDG Enterprise</div>
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The 2015 Big Data and Analytics study highlights data-driven initiatives and strategies driving data investments within IT organizations. In order to gain a deeper understanding of organizations’ big data goals and tactics, the research shows data deployment trends, future investment growth and opportunities for vendors.</div>
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<a href="http://www.scribd.com/doc/258158270/2015-Big-Data-and-Analytics-Survey" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Read the complete article at: 2015 Big Data and Analytics Survey</a></div>
Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-17841200303341001022015-03-11T19:10:00.000-05:002015-03-13T19:10:18.511-05:00Elephants, Review, and Marilyn Monroe Wallpaper: Why eDiscovery Review is so Inconsistent<blockquote id="mct_ai_excerpt" style="background-color: white; border: 0px; color: #666666; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; font-style: italic; line-height: 18px; margin: 1.5em; padding: 0px; vertical-align: baseline;">
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By Herbert L. Roitblat</div>
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One advantage of using computer assisted review, for example, predictive coding, is that the computer does, in fact, examine all of the available evidence in a document. Unlike human reviewers, the computer sees all parts of the elephant and, as a result, consistently judges documents based on the full complement of information in them. Each of reviewer judgment used to train the system may be based on a sample of features, but the computer system aggregates all of these partial judgments and chooses the category that is most consistent with this aggregation of cues, rather than with any individual sample. As a result, the computer can be more consistent than the human reviewer who trains trains it. Under appropriate circumstances, this consistency further enhances the accuracy and reliability of computer assisted review.</div>
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<a href="http://orcatec.com/2015/03/10/elephants-review-and-marilyn-monroe-wallpaper-why-ediscovery-review-is-so-inconsistent/" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Read the complete article at: Elephants, Review, and Marilyn Monroe Wallpaper: Why eDiscovery Review is so Inconsistent</a> </div>
Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-24900764788963453852015-03-11T10:00:00.000-05:002015-03-23T10:00:24.952-05:00A Short List of eDiscovery Investors<div style="background-color: white; border: 0px; color: #515151; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 12px; line-height: 18px; margin-bottom: 1.5em; padding: 0px; vertical-align: baseline;">
Provided below is a link to short list of 30+ investment organizations that have funded eDiscovery-related companies between 2009 and today. The list is <em style="border: 0px; font-family: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">non-comprehensive</em> and is based on industry mergers, acquisitions and investment tracking by <a href="http://www.complexdiscovery.com/info/2014/01/16/13-years-of-ediscovery-a-quick-merger-acquisition-and-investment-update/" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">ComplexDiscovery</a>.</div>
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<span style="font-size: x-small;"><a href="http://www.complexdiscovery.com/info/2015/03/13/a-short-list-of-ediscovery-investors/">A Short List of eDiscovery Investors</a></span></div>
Anonymoushttp://www.blogger.com/profile/15856254998832449139noreply@blogger.comtag:blogger.com,1999:blog-7447600093280921558.post-31600767726637852302015-03-10T19:19:00.000-05:002015-03-13T19:20:34.969-05:00The eDisclosure Systems Buyers Guide – 2015 Edition<h3 style="background-color: white; border: 0px; color: #222222; font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif; font-size: 1.5em; font-weight: normal; line-height: 18px; margin: 0px 0px 1em; padding: 0px; vertical-align: baseline;">
<strong style="margin: 0px; padding: 0px;">The eDisclosure Systems – Buyers Guide – 2015 Edition</strong></h3>
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<li style="border: 0px; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">Authored by <a href="http://www.linkedin.com/in/andrewthaslam" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Andrew Haslam</a>, Allvision Computing.</li>
<li style="border: 0px; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">Prepared in Conjunction with <a href="http://www.legaltechnology.com/buyers-guides/" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">LegalIT Insider</a>.</li>
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Authored by litigation support expert Andrew Haslam of U.K. based Allvision Computing, the <em style="border: 0px; font-family: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;">The eDisclosure Systems Buyers Guide – 2015 Edition</em>, provides an overview of key technology considerations, industry approaches and vendor capabilities regarding the discipline of eDisclosure (eDiscovery). Covering topics from the EDRM Model to vendor service and software analysis, the guide provides a complete and credible resource for legal and IT professionals seeking to understand and apply eDisclosure (eDiscovery) concepts, processes, techniques and tools.</div>
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The guide can be direct downloaded at:</div>
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<li style="border: 0px; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;"><span style="border: 0px; font-family: inherit; font-style: inherit; font-weight: inherit; line-height: 1.5; margin: 0px; padding: 0px; vertical-align: baseline;"><a href="http://cloudbox.legaltechnology.com/eDisclosureSystemsBuyersGuide2015v3_0.pdf" style="border: 0px; color: #666666; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">http://cloudbox.legaltechnology.com/eDisclosureSystemsBuyersGuide2015v3_0.pdf</a></span></li>
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<span style="border: 0px; font-family: inherit; font-style: inherit; font-weight: inherit; line-height: 1.5; margin: 0px; padding: 0px; vertical-align: baseline;">Additional considerations, comments and commendations can he shared with the author at</span></div>
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<li style="border: 0px; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; vertical-align: baseline;"><a href="mailto:andrew.haslam@allvision.co.uk?subject=eDisclosure%20Systems%20Buyers%20Guide" style="border: 0px; color: #428ce7; font-family: inherit; font-style: inherit; font-weight: inherit; margin: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Andrew Haslam – andrew.haslam@allvision.co.uk</a></li>
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©Allvision Computing Ltd 2015</div>
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