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Pae Labat-anderson LLC

Federal Contractor · Rank #1229

Total Federal Spending
$62.6M
$62,610,347
Total Obligations
25
Total Awards
25
Contracts
1
Agencies

Spending by Agency

Recent Awards

DescriptionAgencyStart DateAmount
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$74.5M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeDec 1, 2020$51.8M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$19.2M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 23, 2021$17.0M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$15.6M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$14.3M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$10.9M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$10.0M
MEGA5 AUTOMATED LITIGATION SUPPORTDepartment of JusticeJun 1, 2021$9.0M
MEGA5 ALSDepartment of JusticeDec 1, 2020$8.7M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$7.7M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$7.2M
IGF::CT::IGF THIS CONTRACT WILL BE USED TO PROVIDE PROFESSIONAL LITIGATION SUPPORT PRODUCTS AND SERVICES TO THE DEPARTMENT OF JUSTICE AND OTHER FEDERAL AGENCIES ON AN INDEFINITE DELIVERY, INDEFINITE QUANTITY TASK ORDER BASIS. INDIVIDUAL TASK ORDERS ISSUED UNDER THIS CONTRACT MAY SUPPORT ANY DEPARTMENT OF JUSTICE ORGANIZATION OR FEDERAL AGENCY ON A LOCAL AND/OR NATIONWIDE BASIS. SERVICES MAY BE REQUIRED ANYWHERE IN OR OUTSIDE OF THE UNITED STATES AND ITS TERRITORIES. THIS CONTRACT WILL ALSO BE USED TO SUPPORT CASE- OR INVESTIGATION-RELATED ADMINISTRATIVE FUNCTIONSDepartment of JusticeDec 1, 2013$6.5M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$5.6M
MEGA5 AUTOMATED LITIGATION SUPPORTDepartment of JusticeSep 1, 2020$5.3M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$5.0M
MEGA5 ALSDepartment of JusticeMay 31, 2024$4.9M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$3.2M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 5, 2023$3.0M
MEGA5 AUTOMATED LITIGATION SUPPORT SERVICESDepartment of JusticeJun 1, 2021$2.7M

All federal spending data sourced from USAspending.gov, the official source for federal award data as mandated by the Government Accountability Office.

Pae Labat-anderson LLC Federal Contracts FAQ

Pae Labat-anderson LLC has received $62,610,347 in total federal obligations across 25 awards and 25 contracts.

Pae Labat-anderson LLC works with 1 federal agencies, including Department of Justice. The largest agency relationships are based on total dollar obligations.

Pae Labat-anderson LLC has received federal awards in multiple states.

Pae Labat-anderson LLC is ranked #1229 among the largest federal contractors by total obligation amount. Rankings are based on USASpending.gov data for FY2024.

Sources: USASpending.gov, Federal Procurement Data System
Last updated:

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.