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Optimizing E-Discovery with Arbitration

In the past two years, 90% of the world’s data has been created, coming from a wide variety of sources. From automobile black boxes, cloud storage, and even wearable fitness trackers, data is being collected and processed in ways barely visible to the end user. With the rise of the Internet of Things, technology has and will continue to become more and more integrated, creating even more data. Understandably, the rise of big data has pushed traditional legal discovery practice to its limits. With such an abundance of data to preserve, organize, search, collect, and produce, discovery in litigation has become an extremely costly endeavor. However, there are ways to mitigate the challenges of e-discovery. Arbitration, for instance, when conducted with an eye towards streamlining e-discovery, can save the parties substantial time and money. This article provides recommendations on how to optimize e-discovery practices and procedures in the arbitration context.

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In the past two years, 90% of the world’s data has been created, coming from a wide variety of sources. From automobile black boxes, cloud storage, and even wearable fitness trackers, data is being collected and processed in ways barely visible to the end user. With the rise of the Internet of Things, technology has and will continue to become more and more integrated, creating even more data. Understandably, the rise of big data has pushed traditional legal discovery practice to its limits. With such an abundance of data to preserve, organize, search, collect, and produce, discovery in litigation has become an extremely costly endeavor. However, there are ways to mitigate the challenges of e-discovery. Arbitration, for instance, when conducted with an eye towards streamlining e-discovery, can save the parties substantial time and money. This article provides recommendations on how to optimize e-discovery practices and procedures in the arbitration context.

Full Article Below:

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