Law firms and legal-tech vendors handle the most confidentiality-sensitive content in the economy. AI in discovery, drafting, and research is now standard practice — and so is the obligation to prove that no privileged byte left the firm, no other matter saw the data, and the court can read the audit trail. Safeguard provides the substrate for that proof.
Confidentiality SLAs, AI audit trails, residency rules, and state-bar disclosure — at the same time, on every matter.
Confidentiality is the product. Matter data cannot leave the firm's control, cannot be used to train a vendor model, and cannot show up in another tenant's response. The SLA is contractual, the cost of breach is a malpractice claim.
When generative AI touches privileged material — review, summarisation, drafting — every prompt, retrieval, and tool call has to be reproducible. Opposing counsel will ask, and the bench will expect a record.
US, EU, India, and increasingly state-specific residency rules collide on a single matter. The same workflow has to behave differently depending on which jurisdiction's data is in flight, with auditable enforcement.
State bars are publishing AI-usage guidance with disclosure obligations to the client and to the court. Tracking which matter used which model, with which capability scope, is now a professional-responsibility requirement.
Lino runs on the lawyer's workstation or the firm's private inference cluster. Matter text never leaves the firm's perimeter, and the audit log of every prompt and response stays with the matter file.
Every prompt, retrieval, tool call, and model response is signed and tied to a matter ID. The audit log is exportable in a format that satisfies the bar, the regulator, and the partner running the engagement.
MCP-server tool scopes are bound per matter. A matter can read its own document repository, the conflict-check database, and nothing else. Cross-matter contamination is structurally impossible, not policy-only.
Same product, different jurisdictions. EU matters route to an EU control plane; Indian matters stay inside the country's data boundary. Residency is enforced by the deployment shape, not by hopeful configuration.
Pre-mapped controls and evidence formats your general counsel, your auditor, and your bar regulator already accept.
On-prem control plane, per-matter MCP scoping, sigstore- signed audit logs, and a per-client trust portal.
Control plane runs inside the firm's data center or private cloud. No cross-tenant traffic, no shared keys, no matter content leaving the perimeter.
Tool capabilities are bound to a matter context. Document retrieval, conflict check, and drafting tools only see what the matter authorises — never another matter's records.
Every prompt, response, tool invocation, and model identity is signed and retained per matter. Exportable in the format the bar or the court asks for.
Per-client portal exposes the AI-usage record, model lineage, residency posture, and capability scopes — read-only, on demand, no email attachments.
An agent with too-broad tool scope can quietly route privileged content into a prompt that surfaces elsewhere. Capability scoping has to be structural, not a policy memo.
Discovery dumps and external documents contain instructions targeted at the AI reviewing them. A research agent that follows those instructions becomes an exfiltration channel.
Document-management, e-billing, and e-discovery vendors hold privileged content. Their breach is the firm's malpractice exposure — and the firm's notification to the client.
Data that crosses an EU or Indian border for review becomes a sovereignty question. The wrong deployment shape turns an internal review into a regulator filing.
Numbers from production deployments inside firms and legal-tech vendors. Confidentiality preserved, AI usage defensible.
| Metric | Before Safeguard | With Safeguard |
|---|---|---|
| Matter-data leakage risk surface | Continuous review | Automated |
| AI-prompt audit prep | 3 weeks | 1 hour |
| Tool consolidation | 4 vendors | 1 |
| Cross-jurisdiction posture audit | Quarterly | Continuous |
| Vendor questionnaire turn-around | 10 days | 4 hours |
| On-device inference adoption | 0% | 100% |
| AI-usage disclosure prep | 2 days | 5 minutes |
Talk to the team about on-device Lino for matter review, per-matter capability scoping, and a residency posture your general counsel can sign.