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.
Desktop as a Service (DaaS) providers are becoming important contributors to eDiscovery technology solutions as they allow for the deployment of virtualized desktop experiences delivered to end users on demand from remotely hosted locations. While the providers enabling the delivery of these virtualized environments to those in the eDiscovery ecosystem are typically not called out in the descriptions of the solutions they enable, understanding who those providers are is becoming increasingly important for those sourcing eDiscovery solutions for remote users as the underlying attributes and enhancements the providers deliver form the basis for comparing and contrasting the differences in DaaS-delivered capabilities from eDiscovery providers.
This is the thirteenth quarterly eDiscovery business confidence survey conducted by ComplexDiscovery. More than 1,265 individual responses have been received from legal, business, and technology professionals across the eDiscovery ecosystem since the inception of the survey and 75 respondents shared their opinions as part of the winter 2019 survey.
The eDiscovery Pricing Survey is designed to provide insight into industry eDiscovery pricing through the lens of 15 specific pricing questions answered by eDiscovery ecosystem professionals.
The annual eDiscovery Market Size Mashup estimates the combined worldwide eDiscovery software and services market spend in 2018 to be approximately $10.11B, growing at a Compound Annual Growth Rate (CAGR) of approximately 13.09% to $18.7B by 2023.
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 and protocols from data discovery and legal discovery professionals within the eDiscovery ecosystem.
A working knowledge of electronically stored information (ESI) is foundational for effective, efficient, and comprehensive planning and execution of all electronic discovery tasks. This short, non-all inclusive overview highlights key definitions, descriptions, and attributes related to ESI and may be beneficial for legal and information technology professionals as they consider ESI in the conduct of data and legal discovery.