Israeli Startup Equivio next in line of Microsoft’s Acquisitions for 2014
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(Image: Microsoft Visitor Center in Redmond, WA.)

(Image: Microsoft Visitor Center in Redmond, WA.)

Microsoft Corp. has reportedly signed a letter of intent to acquire Israeli text analysis startup Equivio, an individual acquainted with the matter revealed, as the software giant beefs up its product line for analyzing data.

The deal is said to be closed in a matter of weeks, albeit interested buyers may venture in, said the individual on request of anonymity since the discussions are behind closed doors for now.

Pete Wootton, a representative at Microsoft, wasn’t available to give his inputs on the matter.

The Wall Street Journal reported first regarding the deal and said the price tag could stand at about $200 million. Microsoft will pay tangibly short of less than that, the individual with acquainted with the matter said.

Equivio develops software that utilizes machine learning algorithms to analyze relevant texts from large amounts of legal documents, emails, social networks as well as corporate archives for use by law firms, corporations and government agencies.

The algorithms sum up text samples of which are marked as relevant to the issue close by to apply the sorting logic to group of texts, for example, legal documentation.

The breakthrough technology is as of now being used by companies offering litigation support services to law firms as well as corporate legal divisions attempting to extract relevant data, for example, lawful contracts, from huge archives.

Equivio was founded by CEO Amir Milo, VP Engineering Yiftach Ravid and VP Marketing and Business Development Warwick Sharp, and is based in Rosh Ha'ayin, northeast of Tel Aviv.

The booming success of the Israeli startup echoes from its rich clientele which includes the US Department of Justice, the Federal Trade Commission, KPMG and Deloitte.

Microsoft CEO Satya Nadella wants his organization to step into the data analysis area. In April, Microsoft revealed new tools to help organizations filter through their own data, in order to exploit the business sector for products that help clients comprehend the reams of data being accumulated and put away.

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