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Demystifying eDiscovery for Greater Productivity

Demystifying eDiscovery for Greater Productivity

Electronic discovery is a data-driven, technology-dependent endeavor, but the most vital, valuable component rests entirely with human beings. Attorneys, project managers and litigation support professionals are responsible for the crucial coding decisions, productions and presentations that support or refute the legal arguments in a matter.

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Demystifying eDiscovery using Communications Analysis

Demystifying eDiscovery using Communications Analysis

Mastery over eDiscovery, the legal discovery process in which relevant electronically stored information is identified, preserved, collected, processed, reviewed and produced between parties in a legal proceeding, is becoming a crucial competency for the modern practice of law.

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Demystifying eDiscovery for Data Intelligence

Demystifying eDiscovery for Data Intelligence

Data Intelligence in the context of eDiscovery can have many different meanings. Defined broadly, data intelligence is the quest to organize, analyze, understand, and transform raw data into a format that can tell a story and inform critical legal decision making.

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Demystifying eDiscovery from the First Look

Demystifying eDiscovery from the First Look

For most attorneys and litigation support professionals, their first look at potentially relevant electronically stored information (ESI) occurs after data has been preserved, collected, processed and loaded into a review platform. This crucial stage in any eDiscovery matter helps inform review strategies, the need for further collection and ultimately, production deadlines.

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Demystifying eDiscovery with Data Visualizations

Demystifying eDiscovery with Data Visualizations

The challenge for any legal professional approaching a complex discovery matter is to parse through the mountains of potentially relevant electronically stored information to gain insight and build a narrative that supports their arguments with evidence.

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Winfield v. City of NY: What Happens When Computers and Humans Disagree in eDiscovery?

Winfield v. City of NY: What Happens When Computers and Humans Disagree in eDiscovery?

Predictive coding has become increasingly prevalent in eDiscovery. Although courts have ruled that parties are allowed to use the technology, they have also recognized that litigants aren’t required to use it. However, once a litigant has decided to employ predictive coding, the question is to what extent courts should permit discovery into, and allow opposing counsel, to re-examine and second guess a litigant’s TAR process?

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