The document review phase during a case can seem like a near impossible task. What looks like an endless pit of data is made even more complex through the mass amounts of words, phrases, characters and other searchable content that could in turn be possible evidence.
Although it may seem complicated, once understood it becomes easier to gain a grasp and control over your dataRead More
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…Read More
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…Read More
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…Read More