516578 – Microsoft Purview: eDiscovery – Add Sample to Review Set

Product:

eDiscovery, Purview Communication Compliance

Platform:

US Instances, Web, World tenant

Status:

In development

Change type:

Links:

Details:

This feature allows users to add only a sampled subset of search results to a review set, rather than adding the entire query output. Users can configure sampling parameters—such as confidence level and sample size—to ensure the subset meets their review objectives while reducing unnecessary data ingestion.

Change Category:
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Scope:
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Release Phase:
General Availability

Created:
2025-10-18

updated:
2025-10-18

Docu to Check

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MS workload name

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summary for non-techies**

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Direct effects for Operations**

Data Overload
If the change is implemented without preparation, users may experience an overwhelming amount of data in the review set, leading to confusion and inefficiency in the review process.
   - roles: Compliance Officer, Legal Analyst
   - references: https://www.microsoft.com/en-us/microsoft-365/compliance/ediscovery, https://techcommunity.microsoft.com/t5/security-compliance-identity/what-s-new-in-microsoft-purview-ediscovery/ba-p/3651230

Increased Review Time
Without proper configuration of sampling parameters, users may face increased review times due to irrelevant data being included in the review set, impacting productivity.
   - roles: Compliance Officer, Legal Analyst
   - references: https://www.microsoft.com/en-us/microsoft-365/compliance/ediscovery, https://techcommunity.microsoft.com/t5/security-compliance-identity/what-s-new-in-microsoft-purview-ediscovery/ba-p/3651230

Configutation Options**

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Data Protection**

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explanation for non-techies**

Imagine you are tasked with reviewing a large stack of documents for a case. Instead of reading every single page, you decide to take a sample of the documents to get a sense of the overall content. This is similar to what Microsoft Purview's eDiscovery feature allows you to do with digital data.

When you conduct a search for relevant information, you might end up with a massive amount of data. Instead of reviewing everything, which can be time-consuming and overwhelming, you can choose to review just a sample. This is like picking a few documents from the stack to see if they contain the information you need.

With this feature, you can set parameters like how confident you want to be that your sample is representative of the whole set and how large you want your sample to be. This helps ensure that the sample you review is sufficient for your needs without having to sift through all the data. It's like deciding how many documents you need to read to feel confident that you understand the overall content of the stack.

This approach helps reduce the amount of data you need to handle, making the review process more efficient and manageable. It's a practical way to focus on what's important without getting bogged down by unnecessary information.