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The Glass is Half Full | eDiscovery Business Confidence Survey Results – Fall 2018

This is the twelfth quarterly eDiscovery business confidence survey conducted by ComplexDiscovery. More than 1,100 individual responses having been received from legal, business, and technology professionals across the eDiscovery ecosystem in the course of the last three years and 85 respondents shared their opinions as part of the fall 2018 survey.

Understanding Electronically Stored Information

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.

An eDiscovery Market Size Mashup: 2017-2022 Worldwide Software and Services Overview

Taken from a combination of public market sizing estimations as shared in leading electronic discovery reports, publications and posts over time, the following eDiscovery Market Size Mashup shares general worldwide market sizing considerations for software and services in the electronic discovery market for the years between 2017 and 2022.

A Running List: Top 100+ eDiscovery Providers

Based on a compilation of research from analyst firms and industry expert reports in the electronic discovery arena, the following “Top 100+Provider” list provides a short listing that may be useful in the consideration of eDiscovery providers. This listing is taken primarily from eDiscovery provider mentions in selected key formal industry reports and surveys published between August 2011 and today.

A Concise Framework for Discovery Automation

One of the biggest challenges facing information, business, and legal professionals is the ability to cohesively consider the elements of data discovery and legal discovery within a technology framework that is comprehensive enough to address critical discovery tasks throughout information and legal lifecycles yet concise enough to be realistically approached from an automation perspective.

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