Not your typical search Conceptual Search

CAAT search mimics the way people think: by topics or concepts, versus keywords. CAAT can use a phrase, an entire sentence, or even a document to find other information that is conceptually similar.

Benefits: Whereas two-thirds of keyword searches fail because they are overly inclusive or don't find the right information, concept searches will always find the most relevant information to the query. Because queries are natural language, even cut and pasted from actual documents, searching is faster and accuracy increases several fold.

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CAAT concept-based categorization

Organizing your big content Concept-Based Categorization

CAAT groups documents based on content, whether or not the same words are used to describe the same topics or concepts.

Benefits: Users can quickly locate information that is related and relevant, avoiding the typical flood of "keyword-responsive" documents that aren't on-topic. This accelerates and lowers the cost of legal review, streamlines enterprise content management, and sorts through social media content.

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Conceptually group related content Dynamic Clustering

CAAT takes an entire collection of information and automatically sorts it into folders and sub-folders by conceptual topics, even creating titles for each folder. This quickly organizes information in a logical fashion based on what it's about, not the words in it.

Benefits: Researchers and reviewers can narrow-in on only the information that is relevant to them, and extraneous information can be discarded before it consumes valuable time, space, and resources.

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CAAT dynamic clustering
CAAT near-dupe

Eliminate duplicate content Textual Near-Dupe

CAAT analytics include statistical capabilities to derive a number of duplicate and near-duplicate conditions for documents and text. These include exact duplicates, duplicates that vary only in composition (the traditional "near-duplicate") and, most significantly, documents that are conceptual near-duplicates. Identifying information that is nearly duplicate can be more significant than finding exact matches; nearly duplicate information can clog-up information sources, distort search results, and waste valuable reviewers' time.

Benefits: Grouping documents that are very closely matched—even if they differ only slightly—enables users to identify all closely related information earlier in their workflows.

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Pinpoint the most inclusive email threads Email Analytics

CAAT analytics provide a number of email features, including thread identification, metadata tracking, segment analysis, and tracking statistics. It can even identify gaps where emails should be, but are missing from a string or collection. CAAT can identify not only who is communicating, but also what they are communicating about, and if there are other similar email strings within communications.

Benefits: Reviewers can quickly narrow-in on only the most relevant conversations among only the most appropriate recipients, and by grouping similar strings and topics, can find relevant information in a fraction of the time they might spend going through chronological email trails.

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Uncover insights in multi-lingual documents Language Analytics

CAAT is language-agnostic—it can perform analytics on most all languages that can be represented in Unicode. CAAT can determine the actual languages in documents, allowing users to identify what languages are used within a corpus of content.

Benefits: Users quickly develop a view of information that's relevant, regardless of language, so they can make informed decisions on multi-lingual information. They don't have to accept the uncertainty of inexact machine translations, nor incur the time and expense of human translation only to find that the information wasn't worthwhile.

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CAAT Software Developer's Kit

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