As with many other services, the legal profession is undergoing digital transformation. Established firms are facing competition from aggressive startups running digital only platforms. This disruption is requiring legacy firms to adapt. Meeting the challenge of digital transformation is not only necessary to remain competitive in terms of offering alternative channels, the use of digital technology can also assist with the amount of work involved with the legal process. As firms seek to adapt, machine learning is being adopted more and more in order to help companies grow more efficient and produce greater value from their processes.

Adaption is not only necessary to remain competitive in terms of offering alternative channels, the use of digital technology can also assist with the amount of work involved with the legal process. To assist legal teams with this data review process artificial intelligence platforms can be used. In addition, intelligent machines can be used to assess decisions made by judges, to work out how case law is set and what the decision of a particular judge is likely to be. According to a review by Forbes, the use of machines to assess legal cases can reduce the hundreds of hours required to trawl through case notes considerably.

As with many other services, the legal profession is undergoing digital transformation. Established firms are facing competition from aggressive start-ups running digital only platforms. This disruption is requiring legacy firms to adapt. Adaption is not only necessary to remain competitive in terms of offering alternative channels, the use of digital technology can also assist with the amount of work involved with the legal process. The spotlight here is with machine learning, and three new and innovative technologies are discussed.

TYSONS CORNER, VA, Oct. 13, 2016 -- In-Q-Tel has partnered with Brainspace in an investment agreement that seeks to advance the latter's machine learning and data analytics tools to support digital investigations, ExecutiveBiz reported Wednesday. Brainspace said Tuesday the partnership also serves to build on its efforts to meet the operational requirements of the Intelligence Community. About Executive Mosaic: Founded in 2002, Executive Mosaic is a leadership organization and media company. It provides its members an opportunity to learn from peer business executives and government thought leaders while providing an interactive forum to develop key business and partnering relationships. Executive Mosaic offers highly coveted executive events, breaking business news on the Government Contracting industry, and delivers robust and reliable content through seven influential websites and four consequential E-newswires.

Volkswagen made international headlines this year when the company had to shell out 15 billion after a high-profile emissions scandal rocked the automaker and left its future uncertain. It's a prime example of the type of situation David Copps is trying to prevent with his Dallas-based AI business, Brainspace. "If they had known who said what and when early on in terms of all the emissions problems that they're having, they potentially could've saved 12 billion," Copps says. That's where he sets his sights with Brainspace. The company uses AI and machine learning to enable organizations to garner insights from the data they accumulate each business day, faster than ever before.

Currently, the two largest companies in legal data-driven research are LexisNexis and Westlaw. They have databases that contain huge numbers of case details, and often serve as the default starting point for legal researchers. However, they are not a resource for running advanced analytical tools. Others are filling this gap in the market though. Brainspace, for example, is applying more analytically driven tools to unstructured data in ways that companies have previously not been able to do, and one application that it's been used for successfully is legal files.

As what was once mere data evolves into actionable intelligence, the context that binds that data becomes ever more essential. With no context around those four letters, you might not understand the reference or make any sort of connection. But if you add just one word to "java," such as "development," "island," or "coffee," the reference changes completely--and that's with just a single word of context. This is the type of active context and connection that the Brainspace engine provides. "Context is a very important part of what we do. When we analyze documents, we take the context into consideration," says Ravi Sathyanna, vice president of technology and product management at Brainspace.