confidence Archives - Page 3 of 4

The Rise of Data Type Issues in eDiscovery: Six Issues That Impact eDiscovery Business Performance

In the Summer of 2017, over 40% of respondents viewed data issues (data volumes and data types) as potentially having the greatest impact on their eDiscovery business in the next six months.

August 26, 2017
3 minute read

Summer Doldrums? 18 Observations on Summer 2017 eDiscovery Business Confidence

Summer 2017 eDiscovery Confidence: Survey respondents appear to have a slightly less optimistic view of the business climate this quarter (Summer 2017) than they did last quarter.

August 6, 2017
4 minute read

Revenue Expansion or Erosion? eDiscovery Business Confidence Survey Results – Summer 2017

The Summer 2017 eDiscovery Business Confidence Survey is a non-scientific survey designed to provide insight into the business confidence level of individuals working in the eDiscovery ecosystem.

July 31, 2017
3 minute read

Ongoing Impact: Six Issues That Affect eDiscovery Business Performance

In the Spring of 2017, over 40% of eDiscovery Business Confidence Survey respondents viewed the lack of resources (budgetary constraints and lack of personnel) as potentially having the greatest business impact on their business in the next six months.

May 19, 2017
3 minute read

Climate Change? Four Findings about the Business Climate of eDiscovery

eDiscovery Confidence: Survey respondents have a more positive view of the current business climate this quarter (Spring 2017) than they did last quarter. However, it is not viewed as positive as it was in the Spring of 2016.

May 14, 2017
2 minute read

A Bump or Slump from Trump? eDiscovery Business Confidence Survey – Spring 2017 Results

The eDiscovery Business Confidence Survey is a non-scientific quarterly survey designed to provide insight into the business confidence level of individuals working in the eDiscovery ecosystem.

May 3, 2017
3 minute read

A New Year with New Confidence? eDiscovery Business Confidence Survey – Winter 2017 Results

The eDiscovery Business Confidence Survey is a non-scientific quarterly survey designed to provide insight into the business confidence level of individuals working in the eDiscovery ecosystem.

February 7, 2017
2 minute read

Northern Discovery? Canadian Results of the Fall 2016 eDiscovery Business Confidence Survey

The Canadian results of the Fall 2016 eDiscovery Business Confidence Survey provide insight into the business confidence level of the Canadian eDiscovery ecosystem.

December 4, 2016
4 minute read

Revenue and Profits on the Rise? eDiscovery Business Confidence Survey – Fall 2016 Results

The eDiscovery Business Confidence Index Survey is designed to provide insight into the business confidence level of individuals working in the eDiscovery ecosystem. The term ‘business’ represents the economic factors that determine the creation, delivery, and consumption of eDiscovery services.

December 2, 2016
4 minute read

From Exuberance to Encouragement? eDiscovery Business Confidence Survey – Summer 2016 Results

September 3, 2016
3 minute read

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.