The gathering and use of information to help achieve personal and professional objectives has been a task executed by individuals and organizations from the beginning of time. However, with the advent of tools and technologies that can greatly accelerate this gathering and use of information, it is increasingly important that one considers not only the positive things that can be accomplished from the greater understanding derived from increased information access, but also considers the potential dark side usage of this increased information access.
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/or platforms to other disparate technologies and/or platforms. This data transfer can be considered a risk factor that affects the overall electronic discovery process.
eDiscovery is rife with risk. Multiple parties, multiple jurisdictions, multiple ESI formats, multiple technologies and multiple vendors are all elements that can contribute to potential risk in an eDiscovery matter. With the prevalence of risk in eDiscovery, it is important that eDiscovery decision makers fully consider vendor viability during the vendor selection process.
Provided for your consideration and use are the in-progress results of the One-Question Provider Implementation Survey launched by ComplexDiscovery on 3/3/13. The results consist of survey answers harvested directly from the online survey form as completed by provider representatives.
With the growing use of predictive coding in the legal arena today, it appears that it is increasingly more important for eDiscovery professionals to have a general understanding of the potential algorithm approaches that may be implemented by eDiscovery providers to enable predictive coding.
Provided for your consideration and use are the in-progress results of the Predictive Coding and Provider Survey launched by ComplexDiscovery on 2/10/13. The in-progress results consist of survey answers harvested directly from the online survey form as completed by provider representatives.
With the growing awareness and use of the technology-assisted review feature of predictive coding in the legal arena today, it is increasingly difficult to determine the origin and approach of the actual predictive coding technologies used by leading eDiscovery providers in their offerings.
Updated 6/11/13: Provided as a non-comprehensive overview of over 100 key and publicly announced eDiscovery related mergers, acquisitions and investments since 2002, the following listing highlights key industry activities through the lens of announcement date, acquired company, acquiring or investing company and acquisition amount (if known).
The Basic eDiscovery Offering Framework is designed to help eDiscovery professionals cohesively consider how to share and compare service and product information as it relates to the conduct of eDiscovery regardless of the steps, model or best practices used by practitioners.
Comparing and contrasting eDiscovery providers is a daunting task when one considers the multiple stages of eDiscovery, the many providers of eDiscovery offerings, and the fact that most provider comparisons today are based on solely on stage (EDRM¹) or feature/function capabilities.
Even with the current maturation of electronic discovery solutions (i.e. technology is far from mature), there are still many situations where pure customer service makes the difference between an organization’s ability to meet or not meet client needs. With that being said, truly subjective client service requirements may be very difficult to specify. In fact beyond service level agreements, timeline requirements, project management processes, and work product specifications, many vendors are at a loss when seeking to address the implied but all too real needs of the client.
CEDS Exam: Independent, Validated ‘Baseline of Knowledge’ is Critical to ‘Growth, Success of Professions’
One of the challenges of any profession is establishing a baseline of knowledge that allows for common reference points of understanding amongst participating professionals. This baseline of knowledge appears to be a critical element to the growth and success of professions.
Designed to help legal professionals in “rule of thumb” electronic discovery data reduction and pricing planning, the Electronic Discovery Pricing Estimator uses a combination of generally accepted industry assumptions and user determined pricing entries to provide users with a quick reference planning tool.
As informed eDiscovery professionals, it is reasonable to assume that there may be eDiscovery vendors whose systems and/or processes do not recognize and index all available ESI.
Designed to help legal professionals in “rule of thumb” data volume planning for electronic discovery, the Electronically Stored Information (ESI) Planning Calculator uses a combination of generally accepted industry assumptions to provide users with a quick reference planning tool that can help in the estimation of print-to-digital and digital-to-print data volume.
While much has been written and presented on “electronic discovery analytics” within the past several years, it appears to be difficult to find both a commonly accepted concise definition of electronic discovery centric analytics as well as a contextual example of where analytics fits within the field of electronic discovery.
Taken from a combination of public industry estimations as shared in leading electronic discovery publications, this chart shares market sizing data both the software and service areas of electronic discovery for the years between 2008 and 2013.