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Taking Bites out of Terabytes

What is WitnessTree?

Please visit our new website:

www.witnesstree.com

 

WitnessTree provides text analysis for e-discovery.

WitnessTree is a cluster, search and stage tool that is built to work alongside your current review platform.

Your document collection is analyzed, then broken into clusters, and labeled.

Now you can search and manage your document collection in simple, yet amazing ways.

Amazingly simple eDiscovery.  Simply amazing results. 

WitnessTree is a text analysis software that analyzes and clusters large document collections .

You can now get advanced text analytics capabilities to work alongside your existing eDiscovery review tool.

Simple workflow:

WitnessTree imports files and metadata from your review platform, performs analysis and clustering. You can segregate and organize documents for review to your favored review platform.

Cluster:

WitnessTree clusters documents into smaller groups of documents that are organized hierarchically. Each cluster comes with its own label.

Search:

You can search by concept and context. Or, if you prefer, you can use traditional keyword searches to create issue-relevant collections.

Stage:

Collections can be assigned to review teams based on their skills and expertise. This ability to stage documents for review adds cost and time efficiency to the review process.

eDiscovery designed for the future

  • Simple to learn and easy to use for legal professionals
  • Access  from anywhere using a web-enabled computer
  • Powerful, state-of-the-art technology at a low cost

WitnessTree clients are organizations that provide or consume eDiscovery services and deal with small or large document collections. These include Legal firms, Corporations, Government and Defense organizations.

WitnessTree is intended for use when you are in any of the following situations: 

  • Don’t like the high cost of text analysis products
  • Moving from your current review platform to a new TAR-based product is not feasible
  • Facing internal resistance to change from stakeholders
  • Looking for an easier transition to automated text analysis
  • Add TAR capabilities and leverage your existing investments while

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