How eDiscovery Disciplines Intersect with Information Request Initiatives

E-discovery is not the one-trick pony it used to be. Traditionally, it’s found its home amongst the legal world, but the proven efficacy of this multifaceted solution shines in a host of diversified arenas. Case in point, Information Requests. Let’s take a look at how proficiently this pony performs to fulfill State and Federal FOIA initiatives.  The Problem to Solve:  State and Federal agencies funded by taxpayer dollars are compelled to be transparent about their activities, wherever possible without exposing personal or private / privileged information. Citizens can request information under various freedom of information statutes or open record acts. Unlike discovery in court cases, deadlines for production of responsive documents are truncated, so time and accuracy are of the essence. Naturally, some agencies will receive more information requests than others. State and federal funding is lean,

2021-08-02T09:17:02-05:00July 26th, 2021|

3 Reasons Why Traditional OCR Technology Sucks

Traditional OCR Technology Hasn’t Changed Much in the Past Decade. Just because something is vital doesn't mean that it isn't also frustrating and difficult to use. Optical Character Recognition (OCR technology) has become a mainstay of the legal profession, creating both opportunities and headaches in equal measure. Though OCR is one of the only ways to collect and analyze large volumes of physical (paper) data quickly, it can still be incredibly difficult (and time consuming) to use. In fact, OCR to become one of the most painful and exhaustive parts of the discovery process. Let’s explore why OCR is an outdated technology in need of innovation. 1. Regular OCR Is Extremely Slow While legal tech overall has advanced over the past few years, OCR technology really hasn't changed in over a decade. There hasn't been any driving force

2021-01-19T13:43:10-06:00January 5th, 2021|

Data Mapping – Why It’s Critical To Modern Business Litigation

Let’s talk about Data Mapping. More often than not I find that while a company can be extraordinarily successful and well run, it really isn’t ready for Litigation from a data management standpoint. I mean seriously, show me a traditional Information Technology training course that deals with legal hold and archival indexing. :) It just isn't part of the plan for most companies who aren't experienced in Litigation. I’ve been lucky enough to work with some of the biggest and most successful companies in the world as a trusted consultant. Over the last 20 years I helped put the pieces together to make production deadlines in high stakes Litigation through every circuit court system in the United States. We've worked with companies like GM, Intel, DELL, Samsung and Apple just to shamelessly name drop a few.. As any

2021-01-12T13:04:41-06:00January 3rd, 2021|

Xera Analytics. Let’s Talk About Textual Detection of Near Duplicates

Textual Detection of Near Duplicates with Xera Analytics Near duplicate detection doesn't rely on hash values like traditional exact duplication strategies and thats a good thing. As demonstrated in this video, de-duplication processes can often leave textual duplicates or near duplicates behind because the documents are exact matches. In our demonstration, we find 5 exact copies of a record with different timestamps and in some cases, different email distribution recipients. Because some of the metadata was indeed different (time, recipient) the hash created to fingerprint the records didn't match each other and therefore were not considered a true duplicate. So what's the big deal? In Legal document review, documents are methodically reviewed and tagged or 'coded' for relevance in accordance to document production requests. This labor is traditionally distributed across many reviewers. Therefore, the human element is multiplied,

2021-03-26T16:02:45-05:00December 24th, 2020|
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