Document sanitisation

Document sanitisation is the process of removing or transforming confidential information in a document so it can be safely reused, shared, or fed into AI systems, without exposing the original client or their business information. In consulting, it covers far more than personal data: financials, strategy, methodology, and anything else that could identify who the work was done for.

The term is often used alongside "redaction." Redaction usually means removing information outright: black bars, deleted text. Sanitisation is broader: it includes removal but also transformation, so a client name becomes "[Client]" and a precise revenue figure becomes a representative range, rather than a gap. Related terms you'll see used more informally include blinding, scrubbing, anonymisation, and de-identification (also spelled sanitization in US search results, same process, different spelling).

How it works

Sanitising a consulting deliverable properly means treating four layers of content:

• Direct identifiers. Client names, logos, project codes, email addresses. The obvious cases, caught by any competent process.
• Indirect inference risk. Individually harmless details that combine across a document to identify the client. A 60-slide deck can have every name removed and still be identifiable from the accumulation of context.
• Non-public information. Content that's confidential regardless of whether it identifies the client, such as unreleased strategy or commercial terms.
• Visual and structural content. Brand colours, chart data, logos embedded in images, not just the words on the page.

Getting all four right at scale is what context-aware redaction is built to do.

Why it matters for consulting firms

Consulting firms sit on years of deliverables that are locked behind confidentiality, not because the underlying thinking has no reuse value, but because nobody has sanitised it. Nearly every consulting deliverable contains confidential content, meaning almost none of a firm's deliverable archive is safe to reuse, search, or feed to AI in its raw form.

That's the gap sanitisation closes. It's the prerequisite step before any AI-ready knowledge base can work, and before manual review, which typically runs to hours per deliverable, can be replaced with something that scales. See the hidden cost of manual document sanitisation and why locked knowledge stays locked for the fuller picture.

Related terms

• Context-aware redaction: the method that makes accurate sanitisation possible at scale.
• AI-ready knowledge base: the outcome sanitisation makes possible.
• Further reading: What Is Document Sanitisation? (full article), Consulting Redaction: The Complete Guide, Why Find-and-Replace Redaction Fails.