Compliance Problems

Nested Proximity Searches in Microsoft Purview eDiscovery Standard

Maira Mehtab Sep 20, 2026 868 views

Question details

The user wants to know whether Microsoft Purview eDiscovery Standard supports nested proximity searches, such as `approv* w/10 budget* w/2 operat*`, and is looking for viable alternative search methods.

Product: Microsoft Purview eDiscovery Standard
Device & OS: not provided
Scenario: Constructing complex search queries for compliance investigations and eDiscovery tasks.
Observed behavior: Microsoft Purview eDiscovery Standard does not directly support nested proximity searches, requiring users to rely on alternative syntax.

Before you start

Ensure you have the appropriate eDiscovery Manager or Administrator role assigned in the Microsoft Purview compliance portal to execute and manage searches.

Solution 1Recommended

Utilize Boolean Operators and Keyword Query Language (KQL)

Since nested proximity searches are not directly supported in the Standard version, you can approximate the results using standard KQL and Boolean operators.

While you cannot strictly nest proximity operators (like `w/10` inside another proximity clause) in eDiscovery Standard, you can chain conditions using `AND` or `NEAR` operators to refine your query scope.

This method relies on breaking down complex nested conditions into a series of interconnected search blocks using Microsoft's standard Keyword Query Language (KQL).

Access eDiscovery Standard

Log into the Microsoft Purview compliance portal, navigate to the left-hand menu, and select eDiscovery > Standard.

Open your Search Query

Open an existing case and navigate to the Searches tab. Click on a search to edit it, or click 'New search' to start a fresh query.

Apply KQL Boolean Logic

Instead of nested proximity, structure your query using standard operators. For example, use `(approv* NEAR(n=10) budget*) AND (budget* NEAR(n=2) operat*)` to find documents where these terms appear closely together.

Run and Validate

Execute the search and review the sample results to ensure the broader Boolean logic is capturing the intended documents.

Operator Limitations: Using standard Boolean operators might return slightly broader results than a strict nested proximity search, so additional manual review may be required.

Solution 2

Upgrade to Microsoft Purview eDiscovery Premium

For advanced search capabilities and complex query structures, upgrading to eDiscovery Premium is recommended.

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Frequently Asked Questions

What is a proximity search in Microsoft Purview eDiscovery?

A proximity search allows you to locate documents where two or more specific words appear within a certain distance of each other. In eDiscovery, this is typically done using the `NEAR` operator to find related terms.

Can I use Keyword Query Language (KQL) in eDiscovery Standard?

Yes, Microsoft Purview eDiscovery Standard fully supports Keyword Query Language (KQL). You can use KQL to search for specific properties, apply conditions, and use Boolean operators like AND, OR, and NOT.

What are the main differences between eDiscovery Standard and Premium?

eDiscovery Premium includes all Standard features but adds advanced capabilities like custodian management, advanced search syntax, legal hold notifications, OCR (Optical Character Recognition), and machine learning-based review sets.

How does the NEAR operator work in KQL?

The `NEAR` operator finds terms that are close to each other. By default, `NEAR` looks for words within 8 words of one another. You can specify a custom distance by using `NEAR(n=X)`, where X is the maximum number of words between the terms.

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