Relx Inc.
Federal Contractor · Rank #1142
Spending by Agency
Recent Awards
| Description | Agency | Start Date | Amount |
|---|---|---|---|
| LEXUSNEXIS PROMONITOR SUBSCRIPTION | Department of Defense | Mar 28, 2019 | $44.7M |
| ONLINE LEGAL RESEARCH PLATFORM AND COURT DOCUMENT SUBSCRIPTION | Securities and Exchange Commission | Aug 1, 2019 | $17.0M |
| EXTERNAL VALIDATION SERVICES/LEXISNEXIS FOR A BASE YEAR AND 4 ONE-YEAR OPTIONS. | Department of State | Mar 18, 2023 | $15.3M |
| SUBSCRIPTION TO A LEGAL RESEARCH PLATFORM INCLUDING FULL TEXT NEWS, A PUBLIC RECORDS DATABASE, COURT DOCKET FILES, AND A DISCLOSURE RESEARCH DATABASE. | Securities and Exchange Commission | Aug 1, 2024 | $12.5M |
| ONLINE LEGAL RESEARCH DATABASE - LEXISNEXIS | Department of Commerce | Sep 27, 2019 | $12.2M |
| THIS IS A RENEWAL OF AN ANNUAL SUBSCRIPTION TO THE LEXIS, COURTLINK, AND ACCURINT DATABASES. BASE YEAR, WITH 4 OPTION YEARS. | Social Security Administration | Sep 24, 2024 | $11.4M |
| CALR-5 - LEGAL DATABASE | Department of Justice | Oct 1, 2023 | $8.2M |
| CALR-5 | Department of Justice | Oct 1, 2023 | $8.1M |
| CALR-5 | Department of Justice | Oct 1, 2023 | $8.1M |
| CALR-5 | Department of Justice | Oct 1, 2022 | $6.0M |
| THIS IS A RENEWAL OF AN ANNUAL SUBSCRIPTION TO THE LEXIS+, COURTLINK, AND ACCURINT DATABASES. THE PERIOD OF PERFORMANCE IS 9/29/2023 TO 9/28/2024. | Social Security Administration | Jul 31, 2023 | $5.5M |
| COMPUTER ASSISTED LEGAL RESEARCH (CALR) FOR DOD ORGANIZATIONS: AFLOA, NAVY, ARMY, USMC, DLA, DCMA, DCAA | Department of Defense | Apr 1, 2020 | $5.5M |
| THIS IS A RENEWAL OF AN ANNUAL SUBSCRIPTION FROM LEXISNEXIS TO THE LEXIS+, ACCURINT, AND COURTLINK DATABASES. | Social Security Administration | Sep 20, 2022 | $5.4M |
| ONLINE SUBSCRIPTION | Executive Office of the President | Dec 27, 2022 | $5.2M |
| IGF::OT::IGF SUBSCRIPTION SERVICES | Federal Trade Commission | Oct 1, 2017 | $5.2M |
| SUBSCRIPTION TO THE LEXIS+, ACCURINT AND COURTLINK DATABASES. | Social Security Administration | Sep 24, 2021 | $5.1M |
| LEXISNEXIS COMPREHENSIVE ONLINE SERVICES | Department of State | Sep 13, 2019 | $4.8M |
| LEGAL REFERENCE LIBRARY | Federal Trade Commission | Oct 1, 2022 | $4.4M |
| CALR-5, THIS ORDER REPLACES 15JPSS19F00000900 | Department of Justice | Dec 12, 2019 | $4.1M |
| RENEWAL FOR ON-LINE LEGAL SERVICES IGF::OT::IGF | Equal Employment Opportunity Commission | May 16, 2018 | $3.0M |
All federal spending data sourced from USAspending.gov, the official source for federal award data as mandated by the Government Accountability Office.
Relx Inc. Federal Contracts FAQ
Relx Inc. has received $68,168,362 in total federal obligations across 25 awards and 25 contracts.
Relx Inc. works with 10 federal agencies, including Department of Defense, Department of Justice, Securities and Exchange Commission. The largest agency relationships are based on total dollar obligations.
Relx Inc. has received federal awards in multiple states.
Relx Inc. is ranked #1142 among the largest federal contractors by total obligation amount. Rankings are based on USASpending.gov data for FY2024.
Explore Other Federal Contractors
Spending figures represent total federal obligations for FY2024, as reported through USASpending.gov. Rankings are based on aggregate obligation amounts across all contract, grant, and direct payment awards.
For this entity, the underlying data on this page comes from USASpending.gov federal awards data. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.
The methodology behind every numeric value on this page is publicly documented on the USASpending.gov federal awards data portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.
Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. federal contracts, grants, and awards. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.