Private AI in Practice
Private Hybrid AI
Private where necessary. External where appropriate. Controlled throughout.
The situation
Not every AI request requires the same model, or the same security boundary.
A lawyer has three requests during the same workday.
One involves confidential client data. One needs only public information. One benefits from both. Each deserves the right model and the right boundary.
Three requests. One workday.
- Highly confidential: analyze a client acquisition agreement
- General research: summarize public market developments
- Hybrid intelligence: compare the two
See it in practice
Three requests. Three paths.
Policy decides which AI is appropriate for which data and which workload.
Request 1 — Highly Confidential
“Analyze this confidential acquisition agreement and compare it against our firm’s prior transaction language.”
CavalryAI determines:Sensitive client data & proprietary firm knowledge
Private AI
- Firm-controlled data
- Private model
- Private compute
- No external AI required
Request 2 — General Research
“Summarize major publicly reported developments in semiconductor M&A this quarter.”
CavalryAI determines:No confidential firm information is required
Approved External AI
- Controlled external gateway
- Approved model
- Policy enforced
- No private client data exposed
Request 3 — Hybrid Intelligence
“Compare our client’s proposed transaction structure with current public market developments.”
CavalryAI determines:Now both are potentially valuable
Hybrid AI
Private sideClient information & firm precedent
Controlled external sideApproved public information
CavalryAI orchestrationPolicy determines what can interact with what.
Illustrative example of policy-based routing.
The payoff
The question isn’t “private AI or public AI?”
The question is which AI is appropriate for which data and which workload.
Private where necessary. External where appropriate. Controlled throughout.
This Is Private AI in Practice
Five manifestations. One platform. Everything working together so your professionals can work smarter—securely.
Legal Knowledge
Know what your organization knows.
Surface institutional knowledge, precedent and experience so answers start with what you already know.
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Documents
Work securely with sensitive information.
Analyze complex documents inside a controlled environment so your data stays private and your insights stay reliable.
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Access
Preserve permissions and data boundaries.
Deliver the right information to the right people—no more, no less—across matters, roles, and administrative functions.
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Models
Choose the appropriate AI for each workload.
Route each request to the right model—private, external, or both—based on data, context and policy.
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Security
Protect both sides of the AI interaction.
Protect your data from AI exposure—and protect AI from potentially adversarial or malicious content.
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One platform. One security model. Your data under your control.
Built for how law firms work
Enterprise-grade security by design
Policy-driven and governed
Auditable, accountable, and transparent