Ready to take your eDiscovery process to new heights with machine translation?

Download this guide for an exploration of what really matters in an MT solution for eDiscovery and how this integration can strengthen your translation efforts.

Power couple PP MockUpIn an eDiscovery scenario, a combination of activities like classification, clustering, summarization, and N-Grams help organize and identify the important material in huge databases.

MT identifies the right document for refinement, leveraging human translation. This process of identifying a small set of important documents from a large mass is the crux of the triage process.

What you'll learn in this guide:
  1. What to look for in an MT solution for eDiscovery
  2. How source language identification increases efficiency during the eDiscovery process
  3. How MT processes multiple languages in one document
  4. How MT helps process large data sets along with ad-hoc needs

Take a peak at the first two pages:

Power Couple page 1The Power Couple - Machine Translation & eDiscovery_pg2

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