AI Security & Red Teaming for Legal

For law firms and legal teams, a single AI leak can waive privilege or breach confidentiality, and there is no patch for a disclosure that has already happened. Legal AI ingests untrusted material constantly: opposing-party documents, discovery sets, client uploads, any of which can carry an injection payload aimed at exfiltrating privileged content or one client's matter into another's session. Add the citation-discipline problem, where a manipulated model invents authority, and the risk is both ethical and malpractice-grade. We adversarially test your contract, research, and matter-management AI, then harden it so privilege holds, matters stay walled off, and citations stay real.

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How we deliver it

AI Security & Red Teaming, built for legal

We threat-model around privilege and confidentiality: where untrusted documents enter and where privileged content or cross-matter data could escape.

We run indirect injection tests using adversarial content planted in discovery and opposing-party documents, proving whether the model can be made to leak or misbehave.

We test matter isolation and citation integrity, confirming one client's data cannot surface in another's work and the model cannot be pushed to fabricate authority.

We harden with strict access scoping, output guardrails, and logging that supports your confidentiality and professional-responsibility obligations.

Where it pays off in legal

Privilege leakage testing

We attempt to extract privileged or work-product content through crafted prompts and poisoned documents, then close every path we find.

Cross-matter isolation

We probe whether one client's documents, strategy, or data can bleed into another matter sharing the same model or retrieval layer.

Citation fabrication attacks

We pressure a research assistant to invent or misattribute authority and harden it so it cannot pass off fabricated citations as real.

Discovery document poisoning

We embed adversarial instructions in opposing-party documents to verify they cannot hijack your assistant's behavior.

Legal clients close privilege-leakage and cross-matter paths before deployment and harden against citation fabrication, protecting against the kind of disclosure that cannot be undone.

Legal AI, answered

Your AI routinely reads documents you did not author, including opposing-party and discovery material. An attacker can hide instructions in one of those files, and an unhardened assistant may follow them, leaking privileged content or work product. We test that path directly and shut it down.

Yes, matter isolation is a primary objective. We probe whether documents, strategy, or data from one engagement can surface in another client's session, and we harden the access and retrieval layers so the wall holds.

We treat fabricated authority as a security and ethics failure. We apply adversarial pressure to make the model invent or misattribute citations, then harden it with grounding and output controls so unverifiable authority is caught before it reaches a brief.