Stay Focused

Make use of our AI to pinpoint and review the most relevant data in the most efficient way ever.

Get it Together

Group related data in a way that allows you to find it more quickly and prioritize it more effectively.

Reduce Redundancy

Discover and remove duplicate and near-duplicate records faster than you ever imagined.

Yes, artificial intelligence is the future. But it’s also the now. Use our applications of artificial intelligence— virtually unmatched portfolio of predictive coding and analytics software—to work smarter than ever.

Predictive Coding/Technology Assisted Review (TAR)

For both large document sets and smaller cases, prioritization is always key in identifying the information that is potentially relevant to your case as early as possible—and designating your best resources to review that information. This method ensures a consistent, accelerated review process so you can spend less time reviewing irrelevant data, and more time focusing on presenting quality evidence.

Powerful Search and Early Case Assessment

Everyone has access to resources that can show you what and where, but we provide context—connecting the information you know exists with information you may never have thought was related, all without processing the data. It’s never been easier to get a clear, comprehensive view of your data.

Content Clustering

Our content clustering solution enables you to automatically assemble a holistic view of a content population into clusters of related data and represent them visually. This gives you the ability to instantly browse a content population, identify key areas of interest to expedite review and identify areas that can be deprioritized.


It’s easy to find that business records have duplicated and overlapped. Removing duplicate and near-duplicate records is a standard discovery practice, but the application of advanced technology makes our process far from conventional.


This multi-step process applies a variety of advanced technologies to better prepare for depositions so analytics can guide your discovery document collections.

  • Use transcript content to compare information against discovery documents and identify additional information.
  • Use post-deposition and pre-trial searches to identify key documents that may not have been captured during discovery and/or review.
  • For any new documents identified, we expand the searches across all document populations to make sure exhibits are identified for future depositions and/or trial.

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