Providing in-house counsel with a weekly overview of ten significant legal and technology related stories centered around the corporate risk topics of compliance, information governance, privacy and security.
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This entry was posted on Saturday, January 26th, 2013 at 2:14 pm. It is filed under chronology, risk and tagged with information governance, privacy, risk, security. You can follow any responses to this entry through the RSS 2.0 feed.
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Daily we read, see, and hear more and more about how technology is changing the game of document classification and revolutionizing document review. While there may be evidence that new data governance and discovery technologies can absolutely change current approaches to document classification and review, it is important to remember that technology is only as good as its ability to be delivered, managed, and supported by vendors and integrators.
While some may dispute the existence of unstructured data, definitions for the term “unstructured data” do exist. This week our cartoon and clip provides a quick look at how people convey meaning in different ways (cartoon) and provides a short list of definitions for the term “unstructured data” (clip).
The focus on the technology and talent elements of an information governance vendor’s capability is certainly warranted as these elements ultimately provide the cutting edge for the knife of task execution. However, just as there is much more to the utility of a knife than its edge (especially if you want to use it more than once), there are additional areas worthy of consideration in vendor selection if one is considering the long term strategic utility and viability of a vendor.
Courts have so far provided mixed guidance on this issue, leaving litigants guessing as to whether their choice of blending keyword and predictive coding search methodologies – if challenged by an adversary – would receive judicial imprimatur. Nevertheless, a new ruling from the Rio Tinto v. Vale litigation confirms that parties may combine these search methodologies to achieve reasonable and proportional productions of highly relevant information.
Technology-Assisted Review (hereinafter TAR) is broadly defined as the use of computer tools to determine the relevance of selected documents to any issues in a given controversy. The most utilized form of TAR, known as predictive coding, allows a human reviewer to utilize a select sample of documents to “train” a computer to recognize patterns of relevance in the universe of documents under review.
In this episode of Digital Detectives, Sharon Nelson and John Simek interview Judge Andrew Peck, an expert in issues relating to electronic discovery. Together they discuss the current state of technology-assisted review, how FRCP amendments will affect the way lawyers do discovery, and best practices when using TAR.
ZEN document review is designed to attain the highest possible level of efficiency and quality in computer assisted review. The goal is zero error . The methods to attain that goal include active machine learning, random sampling, objective measurements, and comparative analysis using simple, repeatable systems.
By Bill Dimm This article shows that it is often possible to find the vast majority of the relevant documents in a collection by starting with a single relevant seed document and using continuous active learning (CAL). This has important implications for making review efficient, making predictive coding practical for smaller document sets, and putting […]
ComplexDiscovery | Creative Commons Attribution 4.0 International
Based on a website review of leading providers in the electronic discovery arena, the following list provides a quick, non-all...