Uses the latest advances in Artificial Intelligence to employ human-level understanding at unparalleled speeds to document discovery.
Understands meaning of over one million different words, names, places, dates and concepts.
Built by experts
Built by data scientists and attorneys for your business.
Your competitors all focus on the same feature functionality:
Consider the following
After chatting amiably for several paragraphs about golf, an e-mail’s author might casually slip in an insider-trading tip. Traditional e-discovery algorithms, based on Latent Semantic Analysis (LSA), will inevitably fail to detect this pattern.
Being a document-level search engine, LSA is only able to track a document's overarching theme. In our particular case, LSA will dismiss the email as being about golf, instead of analyzing it in detail, sentence by sentence.
Existing LSA technology is not suited for finding the handful of documents that ultimately matter – the most complex, time-consuming, and expensive task facing litigators today.
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 meaning.
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.