Posts Tagged ‘machine learning’

How Active Learning Will Change Your eDiscovery Review

In e-discovery, active learning utilizes machine learning technologies such as technology-assisted review (TAR), helping legal teams dramatically speed document review and thereby reduce its cost. Active learns puts the most relevant documents first, typically eliminating the need to review from 50 to 90 percent of a collection. It does this through continually learning, in real…

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Law Firms Need To Leverage & Understand Legal Tech to Thrive

2019 Future Ready Lawyer Survey from Wolters Kluwer For law firms and their in-house partners to hold their own and survive in the changing legal landscape, differentiating services and analyzing big data will be key, while understanding and harnessing technology are the first steps to adapting, according to a Wolters Kluwer survey. Based on quantitative…

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AI & Machine Learning Within Document Review

Sooner or later, most e-discovery professionals have experienced the pressure of a slow-moving document review. Pressure to reduce time spent with review and cost control is a major reason that eDiscovery is prime real estate for the current blooming use of artificial intelligence (AI) in law. Machine learning is an area of AI that enables…

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Machine Learning & E-Discovery

Machine learning is a type of artificial intelligence which evolved from the study of pattern recognition. Through the construction of algorithms, machines can make predictions on data versus following preprogrammed commands. What’s more, these algorithms can make independent decisions when new data is applied. As computer processing power improves, this technology can be applied to…

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