Product Independently confirmed 2 publishers 3 min read Published Sep 28, 2026, 4:59 AM PDT

Homeland Security will have Google's AI suggest redactions on up to 140,000 FOIA requests

Homeland Security plans to have Google's AI propose redactions on 100,000 to 140,000 FOIA requests by the end of September. Officers will review the suggestions, but the plan's stated payoff is faster processing, a measure that cannot show text blacked out in error.

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Illustration accompanying Homeland Security will have Google's AI suggest redactions on up to 140,000 FOIA requests — Generated illustration

What happened

The tools go to Customs and Border Protection, where they will recommend what FOIA officers should redact, according to GitHub documents seen by The Washington Post.
DHS employees will then review the cases so the requester gets what the document calls "accurate and complete" information.
The Post found redaction AI in use or in development at other agencies, including Interior, the Justice Department and HHS.

Why it matters

Who has to decide decision Teams copying the suggest-and-approve setup have to decide what reviewers are scored on. The DHS description names faster processing as the payoff, so any measure of wrongly hidden text has to be added deliberately.
Who's exposed exposure Over-redaction errors land on requesters, who see a black box but not what is under it, so the people with most reason to catch the model's mistakes have the least ability to.
What it sets up precedent With Interior, Justice, HHS and FDA already using or exploring such tools, a DHS rollout at six-figure volume makes AI-suggested redaction likelier to become the default FOIA workflow.

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Confirmed2 publishers

By October, if the plan holds, a FOIA officer at Customs and Border Protection will open a request and find the black boxes already drawn by Google's software ^[1]^[2]. The officer's job becomes deciding which boxes stay ^[3].

The pitch and the work are different things. The pitch is in the project description: "[T]his automation is expected to significantly reduce processing times" ^[8]. The work is a review step that exists, the document says, so the requester gets "accurate and complete" information ^[3]. Those two goals compete at the reviewer's desk. Each suggested box an officer stops to question costs time, and time is what the project promises to save ^[8].

The model can be wrong in two directions, and only one shows up. If it misses a name, the exposed text sits on the page in front of the officer. If it blacks out a sentence that should be released, the requester receives a box with no way to see what is under it. "I think we have to watch the government really carefully on how they use AI to redact records, because I think it's going to be a very powerful tool for secrecy," a FOIA expert at the University of Florida told The Washington Post ^[7].

The rollout is partial. If 100,000 to 140,000 requests are more than 10 percent of the total ^[2], the full pool is below roughly 1 million to 1.4 million requests ^[11]. Most requests stay on the existing process, so DHS will have a hand-processed comparison group if it chooses to measure one. Engadget's account of the documents does not mention an accuracy target or an expected rate at which officers overturn the model.

The Post also found redaction AI in use or in development at other agencies ^[4]. Interior uses Microsoft tools to redact potential attorney-client information ^[5]. The Justice Department uses a Veriton tool called aiWARE to redact video ^[6], and HHS is developing its own tool, FRED ^[9]. "FDA is responsibly exploring limited uses of AI to help FOIA staff process records more efficiently," a spokesperson told the Post ^[10].

For any team putting a model's suggestions in front of a human approver, I'd sort the job on two axes. One is whether the person harmed by a wrong suggestion can see the error. The other is whether the reviewer is scored on cases closed or on corrections made. Visible errors and a correction-scored reviewer is the setup where human sign-off works the way the org chart describes. Hidden errors and a throughput-scored reviewer is where approvals are most likely to go through unexamined. Over-redaction in FOIA sits in the hidden column by its nature, and a project whose stated payoff is processing time ^[8] starts in the throughput row. The cheapest counterweight is a log of every suggested box an officer removes, reported as a share of all boxes the model drew.

What to watch

Whether DHS publishes how often officers remove or add redactions relative to what the Google tools suggest.
FOIA appeals or lawsuits challenging redactions on requests CBP processed with the AI tools.
Whether DHS extends the tools past the 100,000 to 140,000 requests planned for the end of September.

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence55
Adoption40
Hype gap+20
Incentives45
Confidence55

Why these scores

Claim ledger

Ranked by verification strength, evidence, and original report placement.

[1]
US Customs and Border Protection, part of the Department of Homeland Security, will use Google's AI tools to recommend information that FOIA officers should redact, according to GitHub documents seen by The Washington Post.
Reported Supported Source: Engadget, citing GitHub documents seen by The Washington PostView cited source
[2]
By the end of September, DHS will use AI for documents that make up over 10 percent of FOIA requests, around 100,000 to 140,000 in all.
Reported Supported Source: Engadget, citing documents seen by The Washington PostView cited source
[3]
Following the AI recommendations, DHS employees will review the cases to ensure the requester gets what the document calls "accurate and complete" information.
Reported Supported Source: Engadget, citing the project documentView cited source
[4]
The Washington Post found redaction-related AI tools in use or development at other federal agencies.
Reported Supported Source: Engadget, citing The Washington PostView cited source
[5]
The Interior Department uses Microsoft tools to redact potential attorney-client information.
Reported Supported Source: Engadget, citing The Washington PostView cited source
[6]
The Justice Department is using a Veriton tool called aiWARE to redact video.
Reported Supported Source: Engadget, citing The Washington PostView cited source
[7]
"I think we have to watch the government really carefully on how they use AI to redact records, because I think it's going to be a very powerful tool for secrecy," a FOIA expert at the University of Florida told The Washington Post.
Reported Supported Source: Unnamed FOIA expert at the University of Florida, via The Washington Post and EngadgetView cited source
[8]
"[T]his automation is expected to significantly reduce processing times," the project description states.
Reported Supported Source: Project description, as quoted by EngadgetView cited source
[9]
Health and Human Services is developing its own redaction tool, FRED.
Reported Supported Source: Engadget, citing The Washington PostView cited source
[10]
"FDA is responsibly exploring limited uses of AI to help FOIA staff process records more efficiently," a spokesperson told the Post.
Reported Supported Source: FDA spokesperson, via The Washington Post and EngadgetView cited source
[11]
If 100,000 to 140,000 requests are more than 10 percent of the FOIA requests in scope, the total pool is below roughly 1 million to 1.4 million requests.
Derived Supported

Sources

2 independent publishers whose own reporting we read for this story.

engadget.com
2 articles · September 28, 2026
The US government plans to use AI to help redact documents
pcmag.com
1 article · September 28, 2026
US Government Reportedly Plans to Use AI Tools to Redact Documents | PCMag

Clarity analysis

How the coverage leans and what the record actually supports. Read the methodology

Perspective Coverage

How much of the coverage speaks to builders, operators and investors. It measures emphasis, not whether the story is right.

Builder

Google is named as the vendor for Customs and Border Protection. Neither outlet says which model or product, how suggestions are scored, or what error rate the system must meet. The design is recommend-then-review: the model proposes words or lines, and an officer decides. For people building redaction software, the more useful detail is how many agencies already run something. Engadget's summary of The Washington Post lists Microsoft tools at Interior, aiWARE for video at Justice, and a homegrown tool called FRED at HHS.

Operator

FOIA offices should note the volume: 100,000 to 140,000 requests by the end of September. PCMag, citing a DHS spokesperson, says these are submissions DHS has already received, so the tool is aimed at requests already in the queue. The only benefit on record is shorter processing time. Speed is easy to count. A line blacked out in error is hard to count unless a requester challenges it. The University of Florida FOIA expert quoted by the Post called AI redaction likely "a very powerful tool for secrecy."

Investor

Neither account gives a contract value, term or procurement route. Google is named as CBP's supplier and Microsoft turns up at Interior. The story puts both companies in federal records work but offers no figure to size the business.

Reality

Evidence, adoption, hype gap, incentives and confidence, each read independently from the current record on the scale shown beneath it. How these are measured.

Evidence55: 0100
Secondhand but consistent
Every fact here comes through The Washington Post's reading of GitHub documents, which Engadget and PCMag both relay. PCMag adds a DHS spokesperson confirming the scope. That puts the core figures on more than a document reading. Nobody outside government has reported seeing the tool run.
Adoption40: 0100
Scheduled, not yet counted
The DHS rollout is a plan with a deadline: more than 10 percent of its FOIA requests by the end of September, two days after these reports ran. Per the Post, Interior and Justice already run redaction tools, and HHS is building one. No outlet reports how many requests have gone through the system so far.
Hype gap+20: −100 understated0 aligned+100 overstated
Unquantified speed claim
The project description promises "significantly" shorter processing, with no baseline or target attached. Both outlets are skeptical of the plan, so any overstatement is in the agency's own framing. The gap is modest because the agency claims little beyond speed.
Incentives45: 0100
Speed on record, vendor terms unknown
The agency's stated motive is faster processing, written into the project description. A University of Florida FOIA expert argues the same tools make withholding easier. Vendor incentives cannot be judged because neither outlet reports what Google or Microsoft is paid.
Confidence55: 0100
One report, twice relayed
Two outlets rewriting one newspaper report agree with each other but are not independent of it. PCMag has an agency spokesperson behind the main figures. The deadline is close, so the next check is whether DHS says it hit the target.

Topics and entities

Topics

AI in Government
Freedom of Information Act
Document Redaction