Uses the latest advances in Artificial Intelligence to employ human understanding at unparalleled speeds to document discovery
Understands meaning of over one million different words, names, places, dates and concepts
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Built by data scientists and attorneys for your business
Your competitors all focus on the same feature functionality.
Volume of information continues to increase
Electronically Stored Information has dramatically expanded the volume of documents that must be collected
Manual reviews are incredibly expensive
Escalating costs of legal services can make it prohibitively expensive to pay large teams of attorneys (especially U.S.-based attorneys) to manually review all potentially relevant documents
Vital information may be overlooked
As a result, the litigator’s worst nightmare—being blindsided by a “smoking gun” document
Consider the following
After chatting amiably for several paragraphs about golf, an e-mail’s author might casually slip in an insider-trading tip. Because the traditional e-discovery algorithms are all based on Latent Semantic Analysis (LSA), they will fail to detect this document.
Because LSA only tracks a document’s overarching theme. LSA will dismiss this e-mail as “basically about golf” instead of digging down to see what else might be there beyond golf chatter.
Existing LSA technology is not designed to tackle the most complex, time-consuming, and expensive task facing litigators: searching for the handful of documents that ultimately matter.
Genuinely literate sentence reader
Deep language comprehension
A rich understanding not only of the English language, but also the larger world from which words derive their meanings.
Information equivalent to 2,644 volumes if printed and bound like a traditional encyclopedia.
Derived from natural language
Leveraging all of Wikipedia, understands meaning of over 1 million different words, names, places, dates and concepts.
Builds context within a corpus
Finds deeper meaning and relevant content within a corpus where LSA comes up empty handed.