Law firms run on sensitive unstructured data. Deal documents, privileged communications, litigation strategy. The moment that data moves outside iManage or NetDocs, into email, AI tools, or co-counsel hands, your governance stops. Confidencial embeds selective encryption into the data itself, so control travels with the file, not just with the system.
A sealed acquisition. A pre-filing patent. A litigation strategy memo. Adversaries know the value. The legal sector faces 1,055 cyberattacks per week. Not because firms are careless, but because what they hold is structurally extraordinary. When a breach occurs, the financial cost is just the beginning. The real damage is what follows quietly: matters moving, preferred counsel status lost, high-value work shifting to competitors without a word said.
Your DMS enforces governance inside the system. Purview and DLP classify and monitor. Ethical walls define boundaries inside your infrastructure. None of these controls travel with the file. When a document leaves, the policy still exists. The enforcement doesn't.
These aren't edge cases. A single M&A partner might have 20 live deals running at the same time. None of it is public; all of it is moving across co-counsel, deal platforms, and AI tools. When any of it leaves, your architecture has nothing to say about it.
AI tools know what they're fed, not what's privileged. When matter documents enter an AI workflow, client boundaries don't travel with them.
Confidencial enforces matter-level governance inside the AI tool, not just inside the DMS.
A deal closes. Documents shared with co-counsel, bankers, and advisors across six organizations, which is a high-value index of non-public intelligence. You have no visibility into where those files live now or what they've been uploaded into.
Confidencial maintains control after every handoff. Revoke access without retrieving the file.
When a client asks you to prove AI governance over their matter data, a policy document isn't an answer.
Confidencial gives you a real enforcement trail, including what data entered AI workflows, what was protected, who attempted access and from where.
Policy without enforcement is theater.
You can't audit good intentions.
Not the system. Not the perimeter. The file itself — from creation through AI ingestion.
Each product picks up where your existing stack stops. Deploy individually or together across your environment.
Filters sensitive content as data moves through pipelines and workflows. Replaces manual redaction in eDiscovery environments without changing how your team works.
Matter boundaries travel into your AI tools. Privileged content stays protected inside AI workflows. Full audit trail is exportable on demand.
Governance for matter data stored or shared in SharePoint, Teams, and cloud environments. Protection that follows the document outside your controlled perimeter.
Share with co-counsel, clients, and third parties without losing control. Revoke access after any handoff without retrieving the file. Ethical walls follow the document.
Encrypted deal rooms and matter repositories for M&A due diligence, sensitive litigation, and high-value client matters. Control who sees what across organizations.
Bar associations across the U.S., UK, and Canada have issued guidance clarifying that confidentiality obligations extend fully to AI tools. OCG security requirements now routinely include questions about data governance, AI policy, and encryption standards. Reg S-P applies to any firm handling client financial data. The regulatory floor is rising. Confidencial puts you above it.
In February 2026, a U.S. District Court ruled that a defendant's communications with a public AI platform were not protected by attorney-client privilege — because the platform's privacy policy destroyed any reasonable expectation of confidentiality. The implication for firms is direct: if your lawyers or clients use consumer AI tools on matter data, those communications may not be protected. Policy without enforcement is not a defense.
Yes. Confidencial operates at the content layer, below your DMS. iManage and NetDocs work exactly as they do today — no workflow changes, no retraining. Encryption is applied when documents are created or shared, and travels with the file into any environment it reaches.
Classification and data loss prevention tools are built to find sensitive content and stop it before it leaves. They protect the places data lives, not the document itself. Confidencial uses selective encryption to protect the sensitive language inside the file, so a matter document stays protected after it's downloaded, shared with co-counsel, or pulled into an AI assistant.
Without content-layer protection, AI tools process whatever they're fed, including privileged communications, client identifiers, and deal terms, with no awareness of matter boundaries. Confidencial enforces those boundaries inside AI workflows. The tool works. The governance holds.
No. Confidencial is additive. It picks up where perimeter controls, DMS governance, and classification systems stop, at the point where data leaves. Your existing stack stays in place.
In law firm environments: privileged communications, client identifiers, deal terms, M&A files, litigation strategy, deposition transcripts, pre-filing patent materials, and IP agreements. Any content where exposure creates privilege risk, regulatory liability, or client relationship damage.
No changes to how lawyers work. Deployment runs through your IT and security teams at the infrastructure layer. Most firms are operational within weeks.
One exposure event doesn't just cost you a client. It costs you the rate, the referral, and the next matter. We'll show you exactly where governance stops in your current environment.
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