Inference Analytics Suite

Inference is the first user-driven eDiscovery and review platform to offer a powerful, multi-layered suite of conceptual search and analysis features that: enhance early case assessment, target critical areas, and prioritize review with unlimited scale and search speed.

Inference has combined traditional search methods, including Boolean, parametric, proximity, and fielded search, with dynamic conceptual search through Concept Direct. Inference’s Concept Direct feature offers users the ability to combine fielded queries and conceptual search techniques, to quickly and precisely search across the entire dataset, pinpointing critical information based on meaning and relevance.	Concept Direct
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Clustering helps to speed document decisions by 3x to 10x by conceptually grouping documents together, helping to organize workflow and prioritize review. Clusters can be created from any resultant set, and based on any query, whether keyword or complex, and offer a visual interpretation of the concepts within the dataset. With Clustering, users can identify previously unperceived relationships and concepts between custodians and, during specified timeframes, direct review based on specific issues, and improve review assignment and streamline workflow.	Clustering
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Based entirely on the data in your repository, Inference’s Dynamic Concepts extracts the inherent concepts and themes in a data population. As a search is being executed, Inference performs an analysis on the content of documents, and recommends the most prominent concepts within a resultant set, offering insight and guidance into search and review, helping users to find the most important documents, highlight issues that may require further investigation, and reveal themes critical to early cases assessment and meet-and-confer preparation.	Dynamic Concepts
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Inference's hallmark analytic feature, Show Similar, provides users with the ability to use a single document, or multiple documents, as the basis for a conceptual search. By submitting an exemplar document, Inference instantly searches across the entire dataset for records that are conceptually similar, and then rank orders results based on a percentage of similarity. With Show Similar, users can find related documents across the entire data population and find records and communications relevant to specific issues or content, helping to target areas and focus review on issues.	Show Similar
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Inference's Email Trace offers reviewers the ability to pinpoint critical time periods, as well as custodians and topics, by providing a visual mapping of communications and conversations across custodians and periods of time. Users can select a conversation, or groups of conversations, and examine timeframes, senders and recipients, as well as subject matter and issues from one view.	Email Trace
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Available from the quick search interface, Concept Suggest helps to guide users by providing conceptual search recommendations. As you enter text into the Quick Search field, Inference analyzes the content found within your repository and highlights the related issues and themes inherent in your dataset. Inference's Concept Suggest enhances basic keyword search by offering search guidance and provides immediate insight into the concepts and topics that may require further investigation or review.	Concept Suggest
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The Document Summary feature offers a quick view into the concepts found within a document or cluster. By hovering over a document or cluster, the system provides the user with the top concepts found within the document, offering immediate insight into the subject matter, helping users to determine relevance and responsiveness, without even opening the document.	Document Summary
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