Cross-border E-discovery, even when well-executed, can be time-consuming and costly. Any practitioner who has grappled with a multi-language data set can attest, hiring an army of native-language reviewers or engaging in wholesale human translation of foreign language data sets can be extremely expensive and time-consuming propositions.
Luckily, there is a better way. Machine translation, when used correctly, is more cost- and time-effective than manual translation as a first cut in the process.
Our EVP Scott Herber co-authored this Corporate Counsel article with Aaron Crews, senior associate general counsel and global head of e-discovery at Wal-Mart, to explain how to blend technology and specialized personnel to efficiently and cost effectively identify potentially relevant information.
Read the article: Watch Your Language: Saving Time and Costs with Cross-Border E-Discovery.
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