u/FOIAwarfare

Disclosure up front: this is not commercial promotion. FOIA Warfare is not accepting users right now, alpha or otherwise. The build has been rewarding on its own merits, and I'm looking for the right institutional home for the project, not for customers. I'm posting in r/foia for dialogue and intellectual discussion with people who think structurally about FOIA, not to generate interest.

I'm building FOIA Warfare. Wrote this analytical piece on how AI is restructuring FOIA from the agency side faster than anyone's noticing, and what the requester side hasn't built in response.

The thesis: AI is redistributing power inside the Freedom of Information Act. The agency side has spent two years designing for itself at the AIOG 2026 workshop and inside NARA's FOIA Advisory Committee. The requester side has not been designed at all in any meaningful way.

Some of the more provocative findings:

• 18.6% of federal agencies (50 of 269) already use AI/ML in FOIA processing per OGIS's 2024 Records Management Self-Assessment. Production: Relativity eDiscovery, Microsoft Purview, FOIAXpress AI Assist, Veritas Clearwell at the Department of Commerce; ArkCase at DOJ INTERPOL, OPM, and EEOC. Pilots: an AI/LLM redaction pilot at CMS, and a separate AI/LLM responsiveness-and-redaction pilot inside HHS Office of the Secretary.
• The lead author of the AIOG 2026 architecture paper (Jason R. Baron) is also co-chair of the FOIA Advisory Committee's Implementation Subcommittee. He sits in the institutional seat that recommends FOIA reform to the Archivist of the United States. Audited the full 17-member committee: no equivalent requester-side architectural voice exists.
• The agency-side architecture concedes it cannot reliably evaluate the foreseeable-harm standard that Congress codified in the FOIA Improvement Act of 2016 - exactly where post-2016 litigation lives (Reporters Committee v. FBI, 3 F.4th 350, D.C. Cir. 2021).
• The Heritage Foundation's AI-generated FOIA flood (on the order of 100K requests in roughly two months per ProPublica + Gizmodo reporting, generating intake rates some impacted FOIA offices reported as one per second) is the canary. One requester with AI forced visible structural change at federal FOIA offices in months, not years. The architecture being designed at AIOG is being designed for the demand environment of 2025, not 2029.
• None of the existing requester-side platforms (MuckRock, FOIA Project, FOIA Fluent, Open FOIA Project, EZFOIA, FOIAflow, FOIA Buddy, FOIA Machine) maintains agency intelligence at portal depth with per-analyst granularity, mines exemption patterns at per-agency scale, or fingerprints which agency-side AI tool processed a given response.

The essay maps the AIOG 2026 papers, the OGIS / DOJ / HHS deployment audit, and a five-element requester-side architecture proposal end-to-end with 26 citations and 5 figures (including a capability matrix across 7 vendor platforms and an institutional-position card on Baron's seat). Bilingual EN/ES.

Full essay: https://foiawarfare.com/wire/analysis/architects-working-one-side-of-the-table

Open question for the community: what am I missing about why the requester side has stayed unarchitected? Is it a capital problem (no commercial market for it), a coordination problem (requesters are dispersed and don't aggregate), a policy problem (the institutional access points are all agency-side), a lack of unity in the "market" (journalists vs attorneys vs theorists all with seemingly different requirements) or something else?

I'll be in the thread today and tomorrow.

u/morisy and the MuckRock team - MuckRock sits in the institutional seat the requester side has actually built. I name MR in the fifth bullet alongside seven other platforms. Your read on whether the gap is real, or whether I've miscalibrated, would matter to this discussion more than anyone else's.