Core Analytics
Amplify your e-discovery efforts with integrated artificial intelligence and machine learning technology.
Organizations that use active learning and analytics can often exclude 40% or more of their review population to focus on that material that matters
Name Normalization
Automatically assemble all of an individual’s email addresses into a single entity to get a holistic understanding of their communications. Add other information you know about them and leverage this knowledge from case to case.
Communication Analysis
The communication analysis visualization shows you who’s talking to whom, how often, and what about. Dig into conversations and get deeper insight into the people in your matter.
Active Learning
The active learning TAR workflow allows you to get to the most relevant documents faster. With the power of machine learning, you can accelerate your team’s efforts on any project and get to the heart of your matter.
Categorization
With your documents categorized, you can prioritize data for review, find important documents from an opposing production, and ensure quality control by automatically identifying and coding documents similar to those you’ve already tagged.
Clustering
Clustering creates groups of conceptually similar documents, so you can gain a better understanding of the key topics of your case, organize and prioritize documents for review, identify discrepancies in coding decisions, and rapidly code documents for a more efficient review.
Email Threading
Email threading allows you to quickly and easily understand the story of an email conversation, identify inclusive documents, and cut down your data set. With email thread visualization, you can see the structure of an email thread, navigate across emails, and identify missing information within a thread. You also can select entire branches of conversations to make quicker and more accurate coding decisions.
Keyword Expansion & Concept Searching
Keyword expansion allows you to discover unexpected or hidden words, such as project code names and company or industry jargon, and ensure you aren’t overlooking anything important to your case. Finding these terms helps focus your searches to return the most relevant documents. Concept searching finds information without an exact word or phrase. Search based on text from external sources such as pleadings, briefs, or articles, or create your own ideal document and search for any documents resembling your fabricated “smoking gun.”
Textual Near Duplicate Identification
Identify documents that are nearly identical, such as multiple versions or drafts of the same document, so you can review them together for a more efficient review.
Language Detection
Language detection identifies the primary and secondary languages present in each document and provides the percentage of the text that appears in each detected language. This gives you information you can act on in planning your review strategy.
