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LexisNexis Legal & Professional Acquires Research Company Ravel Law
June 11, 2017
Ravel Law is known for its open-source database partnership with Harvard Law Library, as well as its judicial analytics and data...
June 11, 2017
Ravel Law is known for its open-source database partnership with Harvard Law Library, as well as its judicial analytics and data...
Artificial Intelligence is Here – and it is Set to Transform Legal Practice
June 10, 2017
When South Korea’s reigning Go master was beaten by artificial intelligence last year I published a column about the future of law. While a computer defeating a gaming champion seemed innocuous enough, the gravity of that event, given the complexity of Go, was significant. It has flow-on effects for all businesses, including law firms. Little over a year later, a Google-powered AI has just defeated China’s best Go player, Ke Jie, who is also the world’s No.1 player. It demonstrates the continued...
June 10, 2017
When South Korea’s reigning Go master was beaten by artificial intelligence last year I published a column about the future of law. While a computer defeating a gaming champion seemed innocuous enough, the gravity of that event, given the complexity of Go, was significant. It has flow-on effects for all businesses, including law firms. Little over a year later, a Google-powered AI has just defeated China’s best Go player, Ke Jie, who is also the world’s No.1 player. It demonstrates the continued...
Using Machine Learning to Explore Neural Network Architecture
June 10, 2017
At Google, we have successfully applied deep learning models to many applications, from image recognition to speech recognition to machine translation. Typically, our machine learning models are painstakingly designed by a team of engineers and scientists. This process of manually designing machine learning models is difficult because the search space of all possible models can be combinatorially large — a typical 10-layer network can have ~1010 candidate networks! For this reason, the process...
June 10, 2017
At Google, we have successfully applied deep learning models to many applications, from image recognition to speech recognition to machine translation. Typically, our machine learning models are painstakingly designed by a team of engineers and scientists. This process of manually designing machine learning models is difficult because the search space of all possible models can be combinatorially large — a typical 10-layer network can have ~1010 candidate networks! For this reason, the process...
Ravel Law Unveils New Tool That Measures Law Firm Success
June 9, 2017
Ravel unveiled its Firm Analytics suite, which purports to rank law firms by case volume and winning percentages across practice...
June 9, 2017
Ravel unveiled its Firm Analytics suite, which purports to rank law firms by case volume and winning percentages across practice...
LexisNexis Acquires Ravel Law
June 9, 2017
In major legal-industry news, LexisNexis Legal & Professional today announced its acquisition of Ravel Law, the legal...
June 9, 2017
In major legal-industry news, LexisNexis Legal & Professional today announced its acquisition of Ravel Law, the legal...
Introducing the TensorFlow Research Cloud
June 3, 2017
Researchers require enormous computational resources to train the machine learning (ML) models that have delivered recent...
June 3, 2017
Researchers require enormous computational resources to train the machine learning (ML) models that have delivered recent...
Interactive Database Aids the Study of Judiciary Trends
June 1, 2017
A recently enhanced database that houses information about civil and criminal federal cases dating to 1970 is now available...
June 1, 2017
A recently enhanced database that houses information about civil and criminal federal cases dating to 1970 is now available...
Empirical Evidence on the Efficacy of Pre-Employment Criminal Background Checks
May 31, 2017
Dylan Minor (Northwestern-Kellogg), Nicola Persico (same), and Deborah M. Weiss (Northwestern Law) have just posted on SSRN their article Criminal Background and Job Performance. Here's the abstract: Job applicants with criminal records are much less likely than others to obtain legitimate employment, a problem that recent legislation, including Ban the Box, has attempted to address. The success of any remedial strategy depends on why hiring firms impose a hiring penalty and whether their concerns...
May 31, 2017
Dylan Minor (Northwestern-Kellogg), Nicola Persico (same), and Deborah M. Weiss (Northwestern Law) have just posted on SSRN their article Criminal Background and Job Performance. Here's the abstract: Job applicants with criminal records are much less likely than others to obtain legitimate employment, a problem that recent legislation, including Ban the Box, has attempted to address. The success of any remedial strategy depends on why hiring firms impose a hiring penalty and whether their concerns...
Google Getting Smarter About Visual Search
May 27, 2017
Possibly the most useful for day-to-day life is Google Lens, which is effectively the existing “point your camera and click for a relevant search” technology, but working almost instantaneously and with less need to use menus and text input to say what you want to know. According to Google, examples would include pointing the camera at a foreign menu for instant translation (without the need to install or fire up the Translate app) or pointing it at a flower for an instant species identification. The...
May 27, 2017
Possibly the most useful for day-to-day life is Google Lens, which is effectively the existing “point your camera and click for a relevant search” technology, but working almost instantaneously and with less need to use menus and text input to say what you want to know. According to Google, examples would include pointing the camera at a foreign menu for instant translation (without the need to install or fire up the Translate app) or pointing it at a flower for an instant species identification. The...
The Promises and Limitations of Big Data
May 27, 2017
Although many people claim we have entered the era of big data, research firms tell us that most collected information is never used. It sits uncleaned, unanalyzed, unused in databases. But when data analytics is used successfully, organizations reap the benefits. Financial services firms are using digital information about their customers to offer them a whole new range of customized products under the category of fintech. Cities are using data from Google Street View to guide economic development....
May 27, 2017
Although many people claim we have entered the era of big data, research firms tell us that most collected information is never used. It sits uncleaned, unanalyzed, unused in databases. But when data analytics is used successfully, organizations reap the benefits. Financial services firms are using digital information about their customers to offer them a whole new range of customized products under the category of fintech. Cities are using data from Google Street View to guide economic development....
