Let attorneys use AI without breaching privilege.
LogosGuard sits between your people, your AI tools, and every channel where sensitive data can cross the firm boundary. It detects privileged communications, restricted counterparties, deal codenames, matter identifiers, and client information, then redacts, blocks, or warns before submission to AI tools like ChatGPT and Claude.
Attorneys already use AI to draft, summarize, and research. The privilege question is not whether to allow it, it is whether you can prove what was sent and what was kept inside the firm.
What law firms actually need from AI DLP.
Law firms have strict confidentiality, work-product, and conflict obligations that other industries do not. The data classes that matter are also different: it is not just PII, but privileged communications, contracts under negotiation, litigation work product, restricted counterparties, deal codenames, and matter identifiers.
LogosGuard ships with default detectors for these classes and supports firm-specific allow- and deny-lists for matter codenames, client lists, and restricted counterparties, referenced from live sources where appropriate so policy stays current as matters open and close.
Sensitive content that must not enter AI prompts.
- Privileged attorney-client communications.
- Litigation work product, including draft pleadings and strategic memos.
- Contracts under negotiation, term sheets, and confidential schedules.
- Restricted counterparties and conflicted parties.
- Deal codenames and unannounced transaction details.
- Matter identifiers: matter numbers, client codenames, case identifiers.
- Client identifiers: names, contact details, account numbers.
- Personal data of represented parties (PII; sometimes PHI in healthcare matters).
How LogosGuard detects and acts.
Detection runs inside your LogosGuard deployment, your cloud tenant or a self-hosted/VPC backend your firm controls, before the prompt reaches the AI vendor. Format-aware patterns catch structured identifiers (account numbers, matter IDs); a policy-tuned model catches contextual identifiers (named parties combined with privileged content).
On a match, the real values are swapped for placeholders before the prompt is submitted. A pasted draft like `Brief for matter ALPHA-3127 against opposing counsel for [Client Name]...` becomes `Brief for matter [MATTER] against opposing counsel for [CLIENT]...` for the AI. The argument structure, clause patterns, and legal context are preserved. The AI helps tighten the language, surface precedents, or summarize the brief. Client names, matter codenames, and counterparty identifiers never leave the firm. For privileged communications and other highest-severity classes, policies hard-block submission entirely.
How a typical law-firm rollout looks.
- 1
Configure firm-specific lists
Add matter codenames, client identifier formats, restricted counterparties, and conflicted parties as firm allow- and deny-lists. Reference live sources where those lists are already maintained.
- 2
Deploy the browser extension
Push through your existing browser management. Most firms cover the entire user population in days.
- 3
Tune from audit logs
Review which matters trigger which detections. Tighten or loosen rules based on real usage. Surface patterns to compliance and risk.
- 4
Add desktop coverage for native AI clients
If your tech-and-IP attorneys use native AI desktop clients (ChatGPT desktop, Claude desktop) or command-line AI tools, deploy the desktop component for those workflows.
Common legal-team scenarios LogosGuard catches.
- An attorney pastes a draft argument into AI to tighten the prose, with client name, opposing party, and matter ID embedded.
- A research associate pastes a discovery production into a summarizer for issue spotting.
- A junior pastes a contract clause to compare against precedent, the contract is under negotiation.
- A patent counsel pastes claim language into AI for drafting help, the application is unfiled.
- An IP litigator pastes communications between client and opposing counsel for AI-assisted review.
Audit logs and compliance review.
Every detection event is recorded with user, AI tool, policy fired, data classes detected, and action taken, without retaining the underlying content. Compliance reviewers see exactly what happened without the audit trail itself becoming a second exposure surface. Logs export to common surveillance and SIEM tooling so the same data feeds existing review pipelines.
Privilege without the productivity tax.
The point is not to keep attorneys from using AI. AI helps with summarization, drafting, research, and review, and law firms that block all AI usage will lose ground to firms that figure out how to use it safely. LogosGuard's default flow is detect-and-coach: the user sees what was flagged, accepts a redaction with placeholders, and continues the prompt with the privileged content excluded. The legal context survives; the protected identifiers do not.