The Problem
Professional services firms face a critical challenge: they need AI efficiency gains, but can't risk data leakage between clients. Standard AI tools like Microsoft Copilot and ChatGPT Enterprise don't provide adequate separation for firms handling confidential information.
For law firms, consultancies, accounting practices, and other professional services, a single data breach could be catastrophic—legally, financially, and reputationally.
Our Solution: 3-Layer Security Architecture
We've developed a comprehensive approach that enables AI capabilities while maintaining absolute client data separation:
Layer 1: Knowledge Base Agent
Learn from your firm's collective expertise safely using self-hosted LLMs. All content is fully anonymized—no client-identifiable information. Data stays where it is in your infrastructure. This layer operates on a smaller, curated knowledge base focused on company-wide best practices, templates, and methodologies.
Example uses: "How do we structure due diligence reports?" or "Show me examples of executive summaries"
Layer 2: Client-Specific Agents
Work with actual client data securely. Strict per-client data isolation with permission-based access control. Each client has their own agent instance that can only access their data.
Example uses: "Summarize ClientA's last 3 months of correspondence" or "Draft report for ClientB"
Layer 3: Automated Security Testing
Continuous verification that there's no data leakage. Adversarial testing to attempt cross-client access. Compliance reporting and audit trails for peace of mind.
Includes: Automated boundary testing, permission verification, and compliance dashboards
Implementation Process
Phase 1: Assessment & Design
- Map your current file storage structure
- Understand client separation policies
- Document user roles and permissions
- Design the specific architecture for your setup
- Deliverable: Architecture document + security model
Phase 2: Knowledge Base Development
- Build anonymization pipeline
- Process existing documents to create knowledge base
- Set up company-wide agent with self-hosted infrastructure
- Test with real queries
- Deliverable: Working knowledge base agent
Phase 3: Client Agent Implementation
- Implement permission checking middleware
- Create client-specific agent instances
- Integrate with your storage permissions
- Build user interface
- Deliverable: Working client-specific agents
Phase 4: Security Testing
- Develop automated test suite
- Run adversarial testing
- Create monitoring dashboard
- Document security protocols
- Deliverable: Security testing framework + compliance report
Phase 5: Training & Handoff
- Train your team on using the system
- Document maintenance procedures
- Knowledge transfer
- Deliverable: Training materials + documentation
What's Included
- Complete assessment and architecture design
- Custom implementation for your storage system (Dropbox, Google Drive, OneDrive, SharePoint)
- Integration with existing permissions
- Automated security testing framework
- Team training and comprehensive documentation
- Post-launch support
Technical Approach
Our solution works with your existing infrastructure:
Storage Systems
Dropbox, Google Drive, Microsoft OneDrive, SharePoint
AI Backends
Leading enterprise LLMs based on your requirements
Security
Multi-layer permission checking, audit logging, encryption
Compliance
Customizable to your specific regulatory requirements
Who This Is For
Law Firms
Absolute client-matter separation, privilege protection, compliance with professional conduct rules
Consulting Firms
Protect client confidentiality, prevent competitive intelligence leakage, maintain trust
Accounting Practices
Financial data separation, regulatory compliance, client trust
Investment Firms
Deal confidentiality, insider information protection, regulatory requirements
Investment & Support
We scope a tailored implementation plan based on your client load, data landscape, and compliance requirements. Expect a detailed proposal covering delivery phases, indicative timelines, and ongoing support options.
Post-launch, we offer monitoring, optimization, and managed service retainers aligned to your team's needs and the criticality of your AI estate.