The 2019 Legal Technology Salary Mashup shares an aggregation of general salary data points from publicly available research, reports, and industry observations that may be beneficial for use by legal technology leaders as they source and staff talent to support their data discovery and legal discovery business objectives.
Just under 94% (93.3%) of eDiscovery Business Confidence Survey respondents feel the current business conditions are good or normal in the spring of 2019. This combined confidence level represents a solid increase in these same feelings when compared to the winter of 2019 where 89.3% felt the conditions were good or normal. However, respondents rating the current business conditions as good dropped to 41.1%, the lowest rating in this area since the inception of the survey. This drop appears to represent a solid, yet slowly diminishing optimism in the current general business climate for eDiscovery.
When considering leaders for an organization’s marketing efforts, it is important to evaluate not only that leader’s understanding of digital marketing tactics, techniques, and tools, but it is also equally important to assess that leader’s ability to execute, not just talk, about digital marketing programs.
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.
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.