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The Secrets of Collecting, Processing and Reviewing Multilingual Data

By Raj Chandrasekar

How non-English data is handled, collected, processed, and translated during an e-discovery process can significantly affect the quality of the information that can be mined from electronically stored information (ESI). Key factors, including how data is encoded, what languages are present in the data and the systems and processes that are used to translate and review data will all impact the accuracy, timeliness and cost of the project.

In a multilingual e-discovery project, the most progressive organizations adhere to the following best practices.

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