Text analytics Solution

E-discovery

Costs and risks associated with electronic discovery have skyrocketed due to the enormous quantities of electronic data now available. Intensive, purely manual review of documents is simply not practical anymore from the perspective of either coverage or cost.

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Too Much Data, Not Enough Time

Time is often of the essence in a legal proceeding and being able to make sense of the key information from hundreds, thousands, or even millions of documents provided via electronic discovery is critical. Of course a manual review of all of this content is not practical. Even if all the data is indexed and made searchable, you need to know what keywords to use to find the most relevant documents.

Discovering Key Players and Events

Instead of manually tagging each document, NetOwl’s entity extraction and event extraction, based on sophisticated natural language processing (NLP) technologies, automatically tag and categorize these documents with high accuracy and speed. For example, it can find the key people, organizations, locations, phone numbers, addresses, and other entities through entity extraction as well as key events such as communication and travel events through event extraction. This can help prioritize which documents must be reviewed first.

Discovering the Unknown

The ultimate goals of e-Discovery is to discover new information that strengthens the case at hand. One of the primary benefits of NetOwl is its ability to recognize new entities as well as new relationships. For example, NetOwl may identify individuals and organizations who were previously unidentified but may play a critical role. NetOwl can discover the critical linkages between individuals, e.g. who attended which meetings, and thus goes far beyond the simple link analysis afforded by co-occurrence analysis. NetOwl analyzes the entire text looking for the important clues. By surfacing such information, additional key players and their roles can be researched more effectively.