Cut the FOIA backlog without adding reviewers.

Contact us to confirm the current contract vehicle and procurement options for your agency; available vehicles change, so we confirm them during procurement rather than list them here. We fit your acquisition process rather than forcing a single path, and give your contracting and security reviewers what they need — the certifications and architecture published in the Trust Center, including ISO 9001:2015 and ISO/IEC 27001:2022, plus a DPA where your counsel requires one. Trusano is FedRAMP compliant but not FedRAMP Authorized; our hosting runs on Microsoft Azure, which is FedRAMP Authorized. A benchmark pilot on your own records is the usual starting point, and it gives your contracting office a scoped requirement to write against.

The full posture — architecture, certifications, and data handling — is documented in the Trust Center, and agency-specific requirements are addressed during procurement. ISO 9001:2015 and ISO/IEC 27001:2022 (certified by Intertek under UKAS accreditation, certificate 0251375, valid to 18 July 2029) underpin it, with GDPR- and HIPAA-aligned data handling, on Microsoft Azure infrastructure that is FedRAMP Authorized. In practice that means a closed, Azure-hosted system, encryption in transit and at rest, records that are never shared between customers and never used to train public models, and a human reviewer who approves every release, with each decision logged for the record.

Yes. A benchmark pilot on your own documents, run under your review policy, is the standard starting point — so you see accuracy and throughput on real records before any commitment. We configure the engine to your record types and exemption categories, run a representative responsive set through detection, and your officers review the proposed redactions exactly as they would in production. You keep the risk assessment report and the decision log from that run, which is what lets you compare against your own manual pace rather than a vendor benchmark. Get a demo to scope one.

Personal protected data and commercially confidential information (CCI) across emails, text documents, and spreadsheets. Detection is context-aware rather than pattern-only, so it separates a private individual’s name from a public official’s, and a personal phone number from an agency line — the calls generic tools get wrong at volume. That automates the detection and removal that consumes most FOIA review time, so your team focuses on the exception documents that need judgment. What it does not do is make the exemption determination: proposals are mapped to your exemption categories on review, and an officer approves every release.

Trusano approaches AI FOIA redaction with context-aware detection rather than pattern matching alone, so it catches identifiers that generic tools miss and applies your rules consistently across every request. Accuracy is why a human reviewer still approves every release — the AI does the volume, the officer makes the call. A pilot on your own records is the honest way to measure it.

No. This is AI as control, not autonomy — our ethos is AI Enabled. Human Driven.™ Trusano proposes redactions at machine speed; your officers review, override where needed, and approve every release. The mechanical work is automated; the legal and privacy judgment stays with your staff. Overrides are part of the design, not a failure state: each acceptance or override is logged, so the record shows who decided what if a determination is later challenged or appealed. The engine also applies your rules the same way on every batch, so releases stay consistent across officers instead of drifting with whoever is on the queue.

Yes. Every file carries an audit trail and every decision is logged — what was detected, what was redacted or released, who accepted or overrode each proposal, and when. Trusano also generates a risk assessment report automatically, so a release is documented rather than merely fast. If a determination is challenged or appealed, the record shows what was redacted, why, and who approved it, instead of depending on a reviewer’s recollection months later. The same log supports internal QC: you can see how consistently your rules were applied across officers and across a year of requests.

Trusano detects and proposes redactions for personal privacy information (Exemption 6) and confidential commercial information (Exemption 4), and your officers map those proposals to your exemption categories on review. Because detection reads context rather than patterns, it can separate a private individual’s details from a public official’s — the distinction Exemption 6 turns on — and flag likely commercial-confidential material for closer scrutiny. The tool accelerates identification; the exemption determination remains a human decision under 5 U.S.C. § 552, and every call is logged, so the basis for withholding is on the record if the requester appeals.

Data handling, hosting, and residency are covered in the Trust Center and confirmed during procurement, backed by ISO/IEC 27001:2022, on Microsoft Azure infrastructure that is FedRAMP Authorized. The service runs as a closed, Azure-hosted system: your records are encrypted in transit and at rest, are never shared between customers, and are never used to train public models. Access is limited to the people your engagement requires, a DPA is available where your counsel needs one, and delivery work is performed from our U.S. headquarters in Canton, Michigan and our EU entity, TrialAssure B.V. in Eindhoven. Exact hosting region and residency options depend on your deployment, and we set them out in writing in the security documentation pack.

Manual review is the root cause of the backlog — slow, inconsistent, and impossible to scale when request volumes rise faster than headcount. Generic FOIA software is pattern-only, so it misses context, cannot tell a private individual from a public official, and produces no risk report. Trusano combines machine-speed context-aware detection, mandatory human review, an audit trail, and automatic risk assessment reports in one workflow, so speed and defensibility come out of the same pass. Underneath it is the patented ANONYMIZE engine, run for 15+ years on privacy-critical records and configured here as government records redaction software rather than a clinical tool.

Customers have cut processing backlogs by up to 80% with the engine — “up to” matters, and your result depends on document mix, exemption categories, and review policy. FOIA backlog reduction lands first on the mechanical bulk of the queue: high-volume sets where most pages need routine identifier removal rather than a hard exemption call. Complex sets carrying heavy Exemption 4 analysis move less, because the bottleneck there is judgment, not detection. A benchmark pilot on your own records shows the throughput you can expect before you scale across the queue, and gives your contracting office a defensible number to plan against.