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

Governance disclosure assessment

Filtered: vendor = LexisNexis

Generated 2026-10-12 12:17 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 = LexisNexis · 11 records

Key findings

  • 11 use-case records from 6 agencies: 9 deployed (82%), 2 pilots, 0 in development or acquisition, 0 retired, 0 with no stage reported.
  • 2 records are designated high-impact; 2 of them (100%) answered at least one minimum-practice question.
  • DOJ, SEC, FHFA report 8 of 11 use cases (73%).
  • 56% of reported deployed use cases (5 of 9) are classified as generative or agentic AI.
  • Of 2 deployed high-impact use cases, 0 report a completed AI impact assessment and 0 leave every minimum-practice field blank.
  • Interpretation: Blank practice fields are missing evidence, not evidence that a safeguard is absent. They mark where follow-up questions to the agency are most useful.
  • Sourcing is reported for 100% of use cases. Where reported, 9% involve in-house development.

Governance evidence: all use cases in the current filter

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing02000911
AI impact assessment02000911
Independent review02000911
Ongoing monitoring02000911
Operator training02000911
Fail-safe02000911
Appeal process02000911
User and public consultation02000911

"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.

Agencies with high-impact records

AgencyHigh-impactAnswered any practicePractice answers in place
DOJ220 of 16

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 11 records.

RecordAgency IDAgencyUse caseStage
R0055SEC-62SECLegal Research (Lexis+)Deployed
R0067FHFA-1FHFALexisNexisDeployed
R0532NIGC-1NIGCLexisNexusDeployed
R1493DOJ-0019DOJLexisNexis AccurintDeployed
R1556DOJ-0105DOJLexisNexis (AI assisted legal research)Deployed
R1597DOJ-0156DOJMedical Claims AdjudicationDeployed
R1645DOJ-0213DOJLexis Nexis (People Search)Deployed
R1652DOJ-0224DOJDeposition Transcript ManagementDeployed
R1987DHS-2605DHSLexis NexisDeployed
R0038SEC-45SECLexis ProtegePilot
R3265STATEDiplomatic Security - Legal Instruction UnitPilot

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