Jan 24
2012 is the Year of the Dragon – which is fitting, since no other Chinese Zodiac sign represents the promise, challenge, and evolution of predictive coding technology more than the Dragon. The few who have embraced predictive coding technology exemplify symbolic traits of the Dragon that include being unafraid of challenges and willing to take risks. In the legal profession, taking risks typically isn’t in a lawyer’s DNA, which might explain why predictive coding technology has seen lackluster adoption among lawyers despite the hype. This blog explores the promise of predictive coding technology, why predictive coding has not been widely adopted in eDiscovery, and explains why 2012 is likely to be remembered as the year of predictive coding.

What is predictive coding?

Predictive coding refers to machine learning technology that can be used to automatically predict how documents should be classified based on limited human input. In litigation, predictive coding technology can be used to rank and then “code” or “tag” electronic documents based on criteria such as “relevance” and “privilege” so organizations can reduce the amount of time and money spent on traditional page by page attorney document review during discovery.

Generally, the technology works by prioritizing the most important documents for review by ranking them. In addition to helping attorneys find important documents faster, some believe that this prioritization and ranking of documents could even eliminate the need to review documents with the lowest rankings in certain situations. Additionally, since computers don’t get tired or day dream, many believe computers can even predict document relevance better than their human counterparts

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