Published Articles
December 20, 2013
Using a Data Analytics-Driven Discovery Workflow
Early data assessment (EDA) has been a popular conversation topic in the e-discovery community in recent years. While traditionally considered useful strictly early on in a case, Amy Fiterman, partner, and P. Sean d'Albertis, supervisor of e-discovery consulting & document Review, see uses for EDA beyond the early stages. In an article in E-Discovery Connection, an e-newsletter from the Defense Research Institute, they explain how the use of data analytics throughout the discovery process is redefining traditional discovery workflows.
"The use of ongoing data analytics across the discovery cycle creates value by helping a party understand its data better, which in turn helps it understand its case better," the article reads. "A data analytics-driven workflow…can create efficiencies, contain cost, and support a deeper understanding of the facts and evidence in a given matter."
"The use of ongoing data analytics across the discovery cycle creates value by helping a party understand its data better, which in turn helps it understand its case better," the article reads. "A data analytics-driven workflow…can create efficiencies, contain cost, and support a deeper understanding of the facts and evidence in a given matter."