Redaction is one of the few discovery tasks where a single mistake is potentially malpractice. A redaction that can be selected and copied, an unredacted native file shipped alongside the redacted PDF, a hidden Excel row that nobody checked — any of these can disclose privileged content, trigger a clawback motion, and put the firm in front of a sanctions hearing. AI-powered redaction attacks the silent failures that manual review consistently misses.
Data-Layer Redactions, Not Visual Overlays
The pain today. Visual-overlay redactions are not redactions. The text is still in the PDF content stream — opposing counsel can select it, copy it, or extract it with a one-line script. There are reported sanctions cases where “redacted” text was lifted directly from production PDFs. Every visual overlay is a ticking liability.
How DecoverAI solves it. DecoverAI applies redactions at the data layer, permanently removing text from the PDF content stream. No visual-only overlays that can be bypassed. Every redacted PDF is automatically flattened to ensure no layers, annotations, or hidden content remain in the file.
AI-Powered Redaction Coverage
The pain today. SSNs, account numbers, medical record numbers, and minors' names appear thousands of times across a corpus, often in places no reviewer thinks to look (a footer, a quoted email, an Excel hidden row). A single missed instance is a privacy breach. Manual reviewers cannot keep perfect attention across 50,000 documents.
How DecoverAI solves it. Privilege and PII classifiers scan the entire corpus, identifying every instance of content that requires redaction: attorney-client communications, work product, Social Security numbers, medical records, and sensitive personnel information. When the same type of content appears across thousands of documents, the AI ensures it is flagged everywhere — not just where a human reviewer happened to notice it.
Metadata & Hidden Content Stripping
The pain today. Visible-text redactions are only half the battle. PDF metadata (title, author, modification history), Word tracked changes and comments, Excel hidden rows and sheets, and embedded objects have all leaked privileged content in famous cases. No reviewer checks all of them every time, and the failure mode is invisible until opposing counsel finds it.
How DecoverAI solves it. DecoverAI also strips PDF metadata, Word tracked changes and comments, Excel hidden rows and sheets, and embedded objects on every produced file. There is no inadvertent disclosure through metadata channels because the channels themselves are sealed before the production leaves the platform.
Production Packaging Verification
The pain today. Producing the unredacted native file alongside the redacted PDF is the most common form of inadvertent disclosure. The redaction is perfect, the cover letter is perfect, the load file points to both the .pdf and the .docx — and the .docx still has every word that was supposed to be redacted. Litigation support catches this maybe 90% of the time. The 10% is what makes the news.
How DecoverAI solves it. The system guarantees no unredacted native file accompanies a redacted version in the production package. Load files reference only the redacted version. This prevents the exact failure mode that occurred in the Federal Production Remediation case, where redacted and unredacted versions were produced side-by-side.