Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Federal AI Intelligence · U.S. Government AI Observatory

Custom inventory report

Filter: vendor = Thomson Reuters; testing = blank

Generated 2026-10-12 10:03 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: vendor = Thomson Reuters; testing = blank · 12 records

Key findings

  • 12 use-case records from 6 agencies: 8 deployed (67%), 3 pilots, 1 in development or acquisition, 0 retired, 0 with no stage reported.
  • 1 records are designated high-impact; 0 of them (0%) answered at least one minimum-practice question.
  • DOJ, SEC, FHFA report 9 of 12 use cases (75%).
  • 50% of reported deployed use cases (4 of 8) are classified as generative or agentic AI.
  • Sourcing is reported for 100% of use cases. Where reported, 0% involve in-house development.

Lifecycle

StageRecordsShare
Deployed867%
Pilot325%
Pre-deployment18%

AI technology

ClassificationRecordsShareDeployed
Generative AI867%4
Natural language processing325%3
Computer vision18%1

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
DOJ · Department of Justice541100%
SEC · Securities and Exchange Commission32092%
FHFA · Federal Housing Finance Agency110100%
HHS · Department of Health and Human Services100100%
FERC · Federal Energy Regulatory Commission100100%
OSHRC · Occupational Safety and Health Review Commission110100%

High-impact designation

DesignationRecords
High-impact1
Presumed high-impact, determined not2
Not high-impact9

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000011
AI impact assessment0000011
Independent review0000011
Ongoing monitoring0000011
Operator training0000011
Fail-safe0000011
Appeal process0000011
User and public consultation0000011

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

  • Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
  • A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
  • Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
  • The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
  • This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

All 12 records.

RecordAgency IDAgencyUse caseStage
R0028SEC-35SECUtilize Westlaw Quick Check to cross check SEC documents.Deployed
R0056SEC-63SECLegal Research (Westlaw Precision)Deployed
R0070FHFA-4FHFAWestLawDeployed
R1502DOJ-0031DOJThomson Reuters CLEARDeployed
R1559DOJ-0109DOJWestlaw (AI assisted legal research)Deployed
R1665DOJ-0239DOJThomson Reuters CLEARDeployed
R1691DOJ-0266DOJProLawDeployed
R3162OSHRC-0001OSHRCWestlaw EdgeDeployed
R0037SEC-44SECWestlaw Co-CounselPilot
R1038HHSCoPilot OutlookPilot
R1738DOJ-0313DOJCocounsel AIPilot
R2062FERC-0006FERCAI Enabled Assistant Legal ResearchPre-deployment

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory