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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2598 · record R1992

PDF Intake (PDFI) for myUSCIS

Department of Homeland Security · USCIS

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
2025-07-23 (day precision)Source: 2025-07-23T00:00:00
Withheld from public reporting
Not reported

Mission

Topic area
Government Benefits Processing
Operational functions
Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Scanned PDFs submitted through MyUSCIS must be validated against form-specific business rules related to both the overall document and the contents of specific fields. Constructed a service that can process a scanned input document and return all information pertinent to these validation rules in a consistent structure (JSON) to a user-facing ELIS microservice. The GenAI powered library utilizes Amazon Bedrock – Anthropic Claude 3.7 Sonnet V1 Foundation Model to extract data from PDF forms. The service provides ability to submit forms online through MyUSCIS UI to Lockbox instead of via mail.

Expected benefits

Develop a service that can extract relevant fields from a scanned PDF submitted through MyUSCIS and build a JSON as an output to the ELIS microservice. The new service will utilize AWS Bedrock provided foundation model. It is an engineering solution that minimizes development time to add new forms or form revisions with high accuracy.

System outputs

The output of this AI system is structured information about the validation rules applied to the input form as well as the extracted contents of filled fields on the form, presented in a JSON format readable by both humans and machines that is consistent with existing ELIS databases.

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s)
USCIS Electronic Immigration System (ELIS)
Custom-developed code
Yes
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)
Analytica and DV United
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
Yes
Privacy Impact Assessment
www.dhs.gov ↗
Authorization to Operate
Yes
Demographic features
Not reported
Training and evaluation data
During development, this system is evaluated using both manually created synthetic data (i.e. filled PDF forms with annotated contents) and production data (scans of forms submitted previously through Lockbox as scanned TIF files). The underlying pretrained foundation model supplied by Bedrock service is used as-is with no further training or fine-tuning.
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.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported