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LayerCake™ by JND eDiscovery

LayerCake™ is a patented analytics software used by case teams to rapidly prioritize documents prior to review. The LayerCake™ algorithm synchronizes results across Relativity’s analytics and search features to calculate a priority tier ranking for each document in a population.

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Filters

RelativityOne
Relativity Server 2023
Relativity Server 2022
Relativity Server 2021

Compatibility

RelativityOne
Relativity Server: 9.5 and above

Contact Info

Ben Sexton
Vice President of eDiscovery and Analytics
+1 (612) 718-6341

Description

Review Acceleration through Intelligent Document Prioritization

Using results from active learning, communication analysis, keyword searching and other queries performed in Relativity, LayerCake™ learns which documents you like the most and which documents can be suppressed from review.

In LayerCake™ lingo, each query or analytics result fed into the LayerCake™ engine can be thought of as a layer. As users submit layers, LayerCake™ becomes increasingly proficient at distinguishing between responsive and non-responsive documents, updating document priority tier rankings automatically. These rankings can then be used to accelerate review, promote key documents, suppress non-responsive documents from the set and uncover hidden pockets of data.


Use LayerCake™ to:

  • Calculate a single, all-inclusive priority tier ranking for each document based on results across analytics features and document retrieval methods
  • Input results from active learning, communication analysis, keyword searching, clustering and timeline analysis
  • Reduce the total number of documents requiring review
  • Detect relevant documents faster

Media

Categories

Filters

RelativityOne
Relativity Server 2023
Relativity Server 2022
Relativity Server 2021

Compatibility

RelativityOne
Relativity Server: 9.5 and above

Contact Info

Ben Sexton
Vice President of eDiscovery and Analytics
+1 (612) 718-6341