Machine translation for eDiscovery involving cross-border matters
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In matters involving cross-border investigations, foreign language data can be identified anywhere during the EDRM process. This infographic shows the machine translation workflow for eDiscovery and how it is a great way to get attorney eyes on the data quickly and cost effectively.
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Machine translation for eDiscovery involving cross-border matters
- 1. Machine Translation Workflow for eDiscovery In matters involving cross-border investigations, foreign language data can be identified anywhere during the EDRM process. Once this data is identified and collected, the following process is a great way to get attorney eyes on the data quickly and cost effectively. Identify foreign language data. Step 1 Translate entire corpus into English to get a gist. Step 2 Sort through translated materials using English search terms. Step 3 Work with in-country counsel to identify equivalent search terms and appropriate terminology in the native language. Step 4 Search source data with these search terms. Step 5 Cross reference source data search results with English data search results. Step 6 Pull translated versions of any additional materials that are identified in the source. Step 7 About VIA VIA provides accurate legal translation with a 99 percent on-time delivery rate. With a global network of over 5,000 legal translators with expertise in more than 125 languages, VIA uses its in-depth legal industry knowledge, legal specific process, experience and scalability to seamlessly partner with law firms like Shook, Hardy and Bacon, as well as in-house legal departments of large multinational corporations, including Cisco, HP, Walmart, Expedia, Nike, St. Jude Medical and more. For more information, visit www.viadelivers.com Even small cross-border matters could encompass over 100,000 documents for review - thousands of which probably contain languages other than English. Cases can be 4-5 years long. Translate the entire foreign language data set into English, so you can easily access it throughout the span of the investigation. Step 8 Get this information earlier and use it to inform interviews, as well as the rest of the discovery process. Benefits of Machine Translation (MT) • WithMTyou can catch as much, ormore, responsive data as eyes-on. • Shorterturn-around time empowersyou to usetranslated data earlierintheeDiscovery process. • Translating theentire corpus once, sothatit can bereferenced later, helpsimprove human efficiency. • Provideacost effective solution forhandling large volumedata sets. Copyright © 2014, All rights reserved.