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OpenDiscoverPlatformCaseStudy2

Open Discover Platform: Incident Response in Relativity using Relativity Dynamic Object (RDO) as Entity Store

In this case study, we make use of a Relativity Application (RAP) created for dotFurther by cDiscovery. Open Discover Platform (ODP) ** was used to process a small open source data set. While distributed processing of documents, ODP also extracts 350+ entities in addition to normal eDiscovery content like file identification, extracted text, metadata, binary/content hashing. These extracted entity types are useful for incident response, data breach, and information governance.

** ODP automates and distributes processing and it uses the low-level Open Discover SDK for extracting content. For a small overview of entity types see: https://github.com/dotfurther/OpenDiscoverSDK

Dashboard 1: Extracted Entity Summary View

dfDashboard1

Dashboard 2: PII/PHI Entity Density Summary View

Allows reviewers to tackle the high density sensitive documents first. dfDensityDashboard

Dashboard 3: Searches

dfSearches

Dashboard 4: Coding Layout with Native/Extracted Text

image

Dashboard 5: Password View (Extracted Password Entities)

Useful for creating/adding to password bank in order to re-process encrypted files. All potential document passwords can be exported to a text file.

image

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Open Discover Platform for Incident Response/Data Breach

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