# JND LayerCake™
> by JND eDiscovery

Canonical page: https://apphub.relativity.com/solutions/layercake
Marketplace: Relativity
Last updated: 2026-08-26
Logo: https://assets.partnerfleet.app/op0o11474uubzst71elx2f92mq7q

## At a glance
- Use Case: [AI & Analytics](https://apphub.relativity.com/t/categories/marketing)
- Relativity Version Supported: RelativityOne, Relativity Server 2023, Relativity Server 2022, Relativity Server 2021
- Badge: RelativityOne

## Call to actions
- [Website](https://layercake.pages.ontraport.net/)
- [Download the Brochure](https://www.relativity.com/relativity/assets/pdf/JND-LayerCake.pdf)

## About
Review Acceleration through Intelligent Document PrioritizationUsing 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 methodsInput results from active learning, communication analysis, keyword searching, clustering and timeline analysisReduce the total number of documents requiring reviewDetect relevant documents faster

## Screenshots
- ![LayerCake Visualization](https://assets.partnerfleet.app/0azgj8mf8zlotctv4luom7v6pofx)