Multidimensional Analysis plays a divine role when it comes to big data. It gives a 360-degree view of data to identify the relevance and irrelevance. Enterprises can easily visualize complex relationships within their data, empowering them to make informed decisions, employ efficiencies, and establish new business value.

The analytics engine built into Knovos’ legal information management solutions provides deep content intelligence, delivering the insight necessary to improve critical business operations and accelerate the eDiscovery process.

With intuitive data visualizations and the ability to connect key people, phrases, and organizations, Knovos’ analytics engine provides quick and complete insight into data. The engine also boasts supervised and unsupervised machine-learning methodologies, enabling document review teams to prioritize, categorize, or qualify documents for discovery.

Knovos’ advanced analytics features include

Entity analytics for quick identification of entities like person, location, and organization.

Communication analysis for quick view of email domains interactive map.

Email domain analytics for insightful view of entire email dataset.

TAR 2.0

Technology Assisted Review with Continous Active Learning (CAL) for efficient document classification.

Key phrase analytics for comprehensive linguistic analysis of content.

Image Analytics

Image Analytics is one of the most trending Analytics features. It allows quick image classification and image clustering in a framework that quickly enables surface information, improves accuracy and reduces risks.

Additional highlights

Near duplicate identification for quick identification of duplicates.

Form case strategy with comprehensive data understanding.

Group documents by degrees of relationship for more efficient classification.

Analytics help exclude noise to accentuate most valuable content

Promotes pre-discovery assessment & litigation readiness.

Protect personal information.

Verify accuracy and consistency of classification decisions across related documents.

Reduce the time and resources necessary to organize, manage and archive enterprise data.

Accelerate human review of only most critical documents.