Extracting data from FOIA request forms

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

2025-03 (month precision)Source: 03/2025

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Administrative Functions

Operational functions

Document processing and extraction, FOIA and records management Derived by keyword rules; see methodology

Problem the AI is intended to solve

Capture and load data from a FOIA form into a SharePoint list for tracking through the eDiscovery Lifecycle. This alleviates time demands for manual entry from one system to another.

Expected benefits

To capture and load data from a FOIA form into a SharePoint list for tracking through the eDiscovery Lifecycle.

System outputs

Extracts data from Microsoft word document to a SharePoint.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

Not reported

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Contract and in-houseSource: c) Developed with both contracting and in-house resources

Vendor (as reported)

GDIT

Vendors (standardized)

GDIT

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

We used the FOIA forms submitted to eDiscovery to train the model.

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