Announcing New Updates For the Intraspexion® Deep Learning Litigation Prevention Software Embedding the dtSearch® Engine
BETHESDA, Md. and SEATTLE, Sept. 5, 2018 /PRNewswire/ -- Intraspexion offers cutting-edge deep learning litigation prevention software. dtSearch provides its own document filters to parse a wide variety of data formats, and text retrieval to instantly search terabytes of data. Together, the companies announce new updates regarding the Intraspexion software with the embedded dtSearch Engine. The resulting Intraspexion product lets enterprise legal departments prevent potential lawsuits before they even start.
Intraspexion's technology provides an "early warning system" capable of flagging internal communications that can lead to litigation. Intraspexion has been listed in the inaugural publication of The Artificial Lawyer's AL100 Legal Tech Directory (08-13-2018). In fact, in the AL100, Intraspexion was the only company listed in the category of Legal Risk. Intraspexion was also included in the inaugural list of The National Law Journal's Legal AI Leaders (02-01-2018), as well as having been featured in many other legal publications.
Intraspexion embeds the dtSearch Engine for its document filters and text retrieval capabilities. "We have updated the software to include Office 365 connectivity with a console for either an automated (every night) or on-demand run," explains F. Scott Barker, Intraspexion's Chief Developer. "We use the dtSearch Engine to extract the enterprise email content. Then the system uses dtSearch to index and search the extracted content and passes the results to Intraspexion's GPU instance residing in a cloud environment."
Intraspexion's technology makes use of a Deep Learning Engine to figure out which correspondence may indicate a future litigation risk. The Deep Learning Engine is a form of Artificial Intelligence consisting of a machine learning multi-layer neural network that Intraspexion "trains" to spot a specific category of potential litigation.
Intraspexion's initial litigation prevention target is employment discrimination lawsuits. "The amount of money saved by giving an enterprise the means to flag a potential employment discrimination matter before it turns into an actual lawsuit is staggering," says Nick Brestoff, Founder and CEO of Intraspexion.
The dtSearch Engine instantly searches terabytes of text including over 25 full-text and metadata-driven search options across multiple different platforms and operating systems. dtSearch's proprietary document filters support a wide range of online and offline data covering numerous document types, emails plus nested attachments, website data and other databases.
About dtSearch, dtSearch.com
The Smart Choice for Text Retrieval® since 1991, the dtSearch product line has over 25 search options for instantly searching terabytes of text. Along with enterprise and developer text retrieval, the company has its own document filters, offering parsing, extraction, conversion and searching of a broad range of data formats. Supported data types encompass databases, website data, popular "Office" formats, compression formats, and emails with nested attachments. dtSearch developer SDKs span multiple platforms. The company has distributors worldwide with coverage on six continents. See dtSearch.com for hundreds of reviews and case studies, as well as fully-functional evaluations.
About Intraspexion, Intraspexion.com
Intraspexion is the world's first AI service able to provide corporate legal departments with an early warning of litigation risk, starting with the risk of employment discrimination. The company is based in part on its founder's book, "Preventing Litigation: An Early Warning System to Get Big Value Out of Big Data" (Business Expert Press 2015). Founded in 2015, Intraspexion's patent portfolio consists of seven (7) patents based on a software system "Using Classified Text and Deep Learning Algorithms to Identify Risk and Provide Early Warning," No. 9,552,548 (2017).
Press Contact
Julie Solomon
SSPR
610-764-1534
[email protected]
SOURCE dtSearch
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