Legal Tech: Protecting Privilege
How a legal technology provider secured AI-assisted drafting and research while preserving confidentiality.Challenge
The platform supported:- Contract analysis and clause suggestions
- Case law research summaries
- Drafting and redlining assistance
Solution
KoreShield scanned prompts and outputs with strict policies and enforced per-matter isolation.Matter Isolation Strategy
Every request included a matter identifier and tenant boundary:Tenant Scoping
Firm and matter IDs enforced per request
RAG Partitioning
Retrieval limited to the matter workspace
Token Boundaries
Outputs limited to the scoped context
Privilege Controls
Architecture
Implementation Example
- Input Scanning
- Output Scanning
- Matter Isolation
Review and Compliance Workflow
Redaction Checks
Redaction Checks
Flagged privileged entities before output:
- Client names and identifiers
- Opposing party information
- Settlement amounts and terms
- Attorney work product
- Strategic legal analysis
Versioning
Versioning
Stored drafts with immutable audit metadata:
- Document version history
- Author and timestamp
- Matter association
- Review status
- Approval workflow state
Access Reviews
Access Reviews
Periodic verification of matter access lists:
- Quarterly access audits
- Automated revocation on matter closure
- Role-based permissions
- Chinese wall enforcement
Results
Privilege Protection
Reduced risk of privileged data exposure across matters
Output Quality
Improved consistency of legal output quality
Compliance
Clear compliance posture for enterprise clients
Use Cases
- Contract Analysis
- Case Research
- Document Drafting
Secure Clause Review
Best Practices
Legal AI Security Principles
- Matter isolation is non-negotiable - Never mix context across matters
- Scan inputs and outputs - Threats can appear in prompts or generations
- Maintain audit trails - Essential for e-discovery and malpractice defense
- Review high-risk outputs - Human attorney oversight for sensitive matters
- Educate users - Attorneys must understand AI limitations and risks
Lessons Learned
Start Conservative
Start Conservative
Begin with strict policies and high sensitivity settings. Legal privilege violations can result in malpractice claims and ethical violations. It’s better to have false positives than miss a privilege leak.
Clear User Guidelines
Clear User Guidelines
Attorneys need training on:
- What the AI can and cannot do
- How to phrase requests safely
- When to escalate to human review
- Ethical obligations when using AI
Regular Audits
Regular Audits
Conduct monthly reviews of:
- Blocked requests (false positives?)
- Access patterns (unusual activity?)
- Output quality (hallucinations?)
- Compliance metrics (audit ready?)
Related Documentation
Security
Core security features
Configuration
Policy configuration
Monitoring
Alerts and dashboards