Five Great Reads on Data Discovery and Legal Discovery for June 2018

Five Great Reads on Data Discovery and Legal Discovery is a subscription newsletter regularly highlighting at least five articles to inform and update legal and information technology professionals on the art and science of data discovery¹ and legal discovery.²

Individuals and Organizations Highlighted in the June Edition include:

Melinda Levitt
Helen Gunnarsson
Devin Coldeway
Ralph Losey
Hunton Privacy & Information Security Blog
Mary Meeker
Gartner
Exterro
ComplexDiscovery

June Edition (PDF)
Newsletter-5-Great-Reads-On-Data-Discovery-And-Legal-Discovery-For-June-2018-1

¹Data Discovery is the exploration of patterns and trends within unstructured data with the objective of uncovering insight and driving action.
²Electronic Discovery (Legal Discovery) is the process of identifying, preserving, collecting, processing, searching, reviewing and producing electronically stored information that may be relevant to a civil, criminal, or regulatory matter.

Objectifying the Subjective: Evaluating eDiscovery Vendor Viability

This updated article highlights one approach to evaluating the selection of eDiscovery vendors that may help decision makers by providing an objective framework useful for the competitive comparison and contrasting of subjective evaluation elements. While the components and ratings used in the approach may be adjusted and weighted based on the experiences and preference of evaluators, the framework is beneficial for ensuring a holistic evaluation process for determining vendor viability.

Drunks, DNA and Data Transfer Risk in eDiscovery

Just as there are many tasks in electronic discovery, many times there are multiple technologies and platforms involved in the complete electronic discovery process. When there are multiple technologies and platforms involved, data must be transferred from disparate technologies and platforms to other disparate technologies and platforms. This data transfer can be considered a risk factor that impacts the overall electronic discovery process.

Automating eDiscovery: A Strategic Framework

The Concise Framework for Discovery Automation takes the overall process of discovery, breaks it down into a data discovery component and a legal discovery component, aligns these components with insight and intelligence, and then highlights four key processes and eight key tasks that appear to be important in the discovery process across the lifecycle of information and litigation.

Is Business Blooming? eDiscovery Business Confidence Survey Results – Spring 2019

This is the fourteenth quarterly eDiscovery Business Confidence Survey conducted by ComplexDiscovery. More than 1,448 individual responses have been received from legal, business, and technology professionals across the eDiscovery ecosystem since the inception of the survey and 180 respondents shared their opinions as part of the spring 2019 survey.

Ready, Set, Stay! Eighteen Observations on eDiscovery Business Confidence in the Winter of 2019

Just under 90% (89.3%) of eDiscovery Business Confidence Survey respondents feel the current business conditions are good or normal. This confidence level represents a significant decrease in these same feelings from the fall of 2018 where 96.5% felt the conditions were good or normal.

The Issue That Currently Concerns eDiscovery Professionals The Most: Budgetary Constraints (Winter 2019)

In the Winter 2019 eDiscovery Business Confidence Survey, 22.7% of respondents viewed budgetary constraints as potentially having the greatest impact on their business in the next six months. This percentage is the highest of all concerns represented in the survey. Increasing data volume was also viewed as a considerable issue, with 21.3% of survey respondents noting it as their greatest business concern.

Actively Learning? Predictive Coding Technologies and Protocols Survey – Spring 2019 Results

The Predictive Coding Technologies and Protocols Survey is a non-scientific survey designed to help provide a general understanding of the use of predictive coding technologies, protocols, and workflows by data discovery and legal discovery professionals within the eDiscovery ecosystem.

Selecting TAR Software and Service Providers?

Technology Assisted Review (TAR) is useful for many tasks within the Electronic Discovery Reference Model (EDRM), with one of its central applications being its use in determining the relevancy of documents in the review stage of eDiscovery in support of document production obligations. To engage in the management of this important workflow, the producing party needs access to TAR software and the decision on what software to use goes hand-in-hand with the service provider selection.