Define the policy
Agree what must be removed, what should remain, and when context changes the decision. The same name may need different treatment depending on its role.
Policy-based redaction for litigation documents, combining AI assistance with trained human reviewers. Account for names, roles, aliases, and the contextual clues that can identify a person without naming them.
For document productions, text-based deposition transcripts, court filings, and medical-legal records.
A name alone does not tell you whether it should be removed. Your policy may protect a party’s identity while preserving an expert’s name and the context needed to understand a document.
AI assists with identification and policy application. Noetic’s trained reviewers resolve flagged decisions, with policy references recorded in the audit trail.
Begin with the document types, parties, and rules that matter to your work. AI assists with policy application; Noetic reviewers resolve flagged decisions.
Agree what must be removed, what should remain, and when context changes the decision. The same name may need different treatment depending on its role.
Identify entities, connect aliases, apply role labels, and flag contextual clues. Ambiguous roles and partial mentions are routed for review.
Trained reviewers make the calls on flagged decisions. Policy references in the audit trail explain the basis for redactions.
A policy can distinguish a party from an expert, or a damages award from a fee. Role-consistent labels help a reader follow the document while names and aliases are replaced.
Job titles, locations, and date ranges may also identify someone. Those contextual clues belong in the review alongside direct identifiers.
We’re inviting litigation teams to explore Noetic’s approach to redaction. Start with a conversation, then a demonstration focused on your team’s needs.
Tell us about your documents, recurring tasks, and review requirements. No client materials are needed for this conversation.
Explore the workflow, its outputs, and where human review fits. Bring the questions your team needs answered.
If there’s a fit, agree on scope, handling requirements, pricing, and what would make an evaluation worthwhile.
Discuss data handling before sharing matter documents. Access, hosting, model providers, retention, and reviewer arrangements belong in that discussion. We’ll work through your requirements before agreeing an evaluation.
Tell us about your redaction work. We’ll follow up to arrange a conversation and discuss a relevant demonstration.
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