Capture and Convert Structured Data from Scanned Case Documents to Support Advanced Analysis and Trend Forecasting

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

High-impactSource: a) High-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Law Enforcement

Operational functions

Document processing and extraction, Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

The Targeting & Special Projects Unit (DOIT) has identified a critical need to capture, convert, and process both structured and unstructured text from scanned case documents to support advanced analysis and trend forecasting. This initiative will leverage an optical character recognition (OCR) solution capable of extracting both typed and handwritten content from diverse sources, including medical notes, invoices, and statements. Captured text will be transformed into a standardized, machine-readable format (e.g., CSV) and integrated into a relational database. From there, advanced analytical techniques will be applied to reveal hidden structures, patterns, and relationships within the data. By unlocking this information, we aim to enhance our ability to anticipate trends, strengthen investigative strategies, and move toward a more predictive, data-driven approach

Expected benefits

Save valuable investigative time that can be used to focus on the results of the analysis. Conducting more comprehensive analysis on the data will improve trend forecasting, strengthen investigative strategies, and support a more predictive, data-driven approach.

System outputs

The anticipated output for this AI use case will include text for documentation and CSV for excel spreadsheet analytical work.

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

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

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

Data and privacy

Involves PII

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

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