Microsoft eDiscovery Attorney-Client Privilege Detection

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2025-09-01 (day precision)Source: 9/1/2025

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Other

Operational functions

FOIA and records management Derived by keyword rules; see methodology

Problem the AI is intended to solve

Identifying information subject to a FOIA exemption.

Expected benefits

Improving speed and accuracy in identifying information that may fall under a FOIA exemption. This tool has recently been activated and we are gathering data to see if it is useful in FOIA operations

System outputs

The model provides an attorney-client privilege score and indicates if an attorney is a participant in the document.

Technology

AI classification

Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…

System name(s)

Not reported

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Microsoft

Vendors (standardized)

Microsoft

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

Not reported

Authorization to Operate

No

Demographic features

k) None of the above

Training and evaluation data

Resident in Microsoft eDiscovery for all files.

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported