Your company, a global pharmaceutical manufacturer, has just introduced a new drug to the market. Shortly after,
you learn that a government agency is launching an investigation into alleged deceptive marketing practices to drive sales for the new drug. You, members of your legal team and outside law firms are now faced with the prospect of having to quickly review millions of potentially responsive documents, mostly in the form of electronically stored information (ESI).
Uncovering the facts and responding to the investigation will require teams of attorneys reviewing massive volumes of data. Even with the help of eDiscovery analytics to help you sift through and organize documents, the prospect of the investigation is daunting, and will require significant time and cost.
While the analytics that has dominated the legal market for the past few years can help you assess data on a case-by-case basis—such as technology-assisted review (TAR), e-mail threading, relationship analysis, concept analyzes, near-dupe detection and more—these tools don’t look at and assess data across all of your prior and current cases. That means you have to begin the eDiscovery process each time a new case commences, rather than repurposing the extensive work you’re already performed in previous cases.
A new breed of analytics delivered as a service can consolidate masses of data across legal cases and assess up to billions of prior document classifications made by attorneys to identify which documents are relevant for new cases, eliminate repeat reviews, automate the classification of document and identify data that could be a legal liability in the future. All to mitigate risk and improve productivity.
Read more to see how the next frontier of analytics as a service can help you expedite eDiscovery legal review, detect risk, and protect your brand.
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