Sentences with phrase «year of predictive coding»
As other judges followed suit, issuing their own opinions endorsing or approving predictive coding, the trend led law firm Gibson Dunn, in its annual e-discovery update, to declare 2012 «the year of predictive coding.»
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Another signal pointing to momentum is the emergence of predictive coding pundits and experts in Australia — which were all but non-existent a year ago.
More than half cited predictive coding as the key technological shift that could alter the balance of reasonableness and proportionality in the coming years.
Despite the advances expected with predictive coding, emerging challenges such as increasing data volumes, complex data types such as from social media and the cloud, as well as increasing international discovery demands provided such a counterweight that 47 % of counsel expect e-discovery costs to increase over the next few years.
This indicates that predictive coding continues to gain interest within the industry, considering that in the previous year's survey 55 % of respondents said they were considering the use of predictive coding.
Two years ago, it was big news in the world of e-discovery when U.S. Magistrate Judge Andrew J. Peck issued the first judicial opinion expressly approving the use of predictive coding.
Within the last two years, federal and state courts around the country have issued decisions endorsing the use of predictive coding and accepting it as the norm.
Even predictive coding — a relative newcomer compared to, say, using online data hosting platforms or keyword search terms — has been used for a number of years now.
There was a big focus in the last year on predictive coding solutions, social media, mobile devices, and the upcoming Federal Rules of Civil Procedure (FCRP) amendments.
D4 has performed analytics on hundreds of cases using all features of the platform including Near - duplication, Email Threading, Themes, and Predictive Coding during the many years of experience consulting and implementing Equivio solutions.
The company's predictive data analytics engine processes thousands of data elements spanning 40 years of historical data and one billion residential real estate transactions, indexing and standardizing data to forecast home price valuations and market trends for three million residential blocks, 18,000 zip codes, and 381 U.S. metropolitan areas.
San Francisco - based HouseCanary's predictive data analytics engine processes thousands of data elements spanning 40 years of historical data and one billion residential real estate transactions, indexing and standardizing data to forecast home price valuations and market trends for three million residential blocks, 18,000 zip codes, and 381 U.S. Metropolitan Statistical Areas (MSAs).