AI Agent Security for Legal
Legal copilots must protect privilege and confidentiality. One leak or policy failure can create major client and reputational risk.
Key challenges
Privileged/confidential data leakage in prompts or outputs
Prompt injection to extract matter details or internal strategy
Policy drift across practice areas and jurisdictions
Lack of traceable evidence for risk reviews
High cost to build bespoke controls internally
How Fireraven helps
RedRaven
Tests legal copilots for confidentiality leakage, policy bypass, and unsafe behavior; produces audit-ready findings.
FireGuard
Enforces privilege and confidentiality guardrails on inputs/outputs; monitoring + evidence.
Applications (use cases)
Contract review copilot for clause extraction and risk flags
Challenge:
Sensitive clause leakage; non-compliant outputs
Fireraven:
FireGuard output rules; RedRaven tests bypass prompts
Drafting assistant for briefs, memos, and client communications
Challenge:
Disclosing confidential context; unsafe wording
Fireraven:
FireGuard policy enforcement + audit trail
eDiscovery assistant for summarization and privilege tagging
Challenge:
Privilege mistakes; disclosure risk
Fireraven:
Guardrails + RedRaven stress-tests
Internal knowledge copilot for precedents and playbooks
Challenge:
Leaking proprietary templates; restricted guidance
Fireraven:
FireGuard topic gating; monitoring
Compliance/legal ops copilot for policy Q&A
Challenge:
Giving disallowed advice; policy drift
Fireraven:
FireGuard enforcement; RedRaven validates coverage
Client-facing intake chatbot for new matters and routing
Challenge:
Confidentiality risk; data handling policies
Fireraven:
FireGuard PHI/PII controls; RedRaven tests exfiltration