What is Private Legal Intelligence?
AI that knows your clients, never shares their data, and makes you more effective across every matter you carry.
- Quick answer
- What is Private Legal Intelligence?
- Private Legal Intelligence is a category of AI software defined by three non-negotiable properties: the data is private (never routed through shared public models or mixed between clients), the model is legally trained (not a general-purpose model with a system prompt — trained on actual legal cases and workflows), and the platform delivers intelligence at the portfolio level (cross-client visibility, per-client institutional memory, and proactive insight across every matter you carry). It was coined by Sapphire Legal to describe what fractional general counsels actually need — and what generic legal AI tools fail to provide.
“Legal AI” is too broad to mean anything.
The term covers everything from contract review tools to generic ChatGPT wrappers with a legal system prompt. None of them were built for the operating model of a fractional general counsel.
Generic legal AI
- ✕Shared infrastructure — your clients' data sits alongside everyone else's
- ✕General-purpose models prompted to sound legal
- ✕Built for a single firm or a single client
- ✕No concept of a portfolio operating model
- ✕One data leak away from a bar complaint
Private Legal Intelligence
- Per-client data isolation — dedicated database, storage, and encryption per firm
- Legally-trained model running locally on your infrastructure
- Built for a portfolio of client companies, managed simultaneously
- Cross-client visibility with zero cross-client data exposure
- Architecturally safe for competing clients in the same portfolio
Private. Legal. Intelligence.
Each word is load-bearing. Remove any one of them and you have a different — lesser — product.
Private
Data sovereignty by architecture
Every client company gets a dedicated PostgreSQL database, S3 bucket, encryption key, and AI context. Their data never touches another client's environment — not by policy, by architecture. The AI model runs locally. No data routes through OpenAI, Anthropic, or any third-party provider.
Legal
Trained on law, not prompted toward it
A fine-tuned 7B model trained on 12 million legal cases — not a general-purpose model with a system prompt that says 'act like a lawyer.' It understands jurisdiction, practice area, contract structure, and regulatory context. It drafts like a lawyer because it learned from lawyers.
Intelligence
Portfolio awareness, not just document generation
The platform maintains institutional memory per client — their posture, their hot buttons, their approved language. It surfaces cross-portfolio signals: deadlines across all clients, conflict risks on new matters, health scores per firm. It makes you smarter across your whole book of business, not just one document at a time.
The fGC carries a data risk no other legal professional faces.
A fractional general counsel serves 6–10 client companies simultaneously — companies that often compete with each other. Any tool with shared infrastructure is not just a performance risk. It's an ethical liability.
When a fractional GC uses a generic AI tool, their clients' contracts, disputes, compliance postures, and M&A data enter a shared model that also processes their clients' competitors' data. That's not a hypothetical risk — it's the default architecture of most legal AI products. Private Legal Intelligence makes isolation the foundation, not an add-on.
Common questions about the category.
What is Private Legal Intelligence?
Private Legal Intelligence is AI that knows your clients, never shares their data, and makes you more effective across every matter you carry. It combines three properties: privacy (data sovereignty and per-client isolation), legal (trained on legal cases, understands legal context and workflows), and intelligence (institutional memory, proactive insight, and cross-portfolio awareness). It is distinct from generic legal AI, which typically runs on shared infrastructure and general-purpose models.
Why do fractional general counsels need Private Legal Intelligence specifically?
Fractional GCs carry a unique data risk that no other legal professional faces: they hold confidential information for competing client companies simultaneously. A generic AI tool with shared infrastructure creates a cross-contamination risk that is one data leak away from a bar complaint. Private Legal Intelligence solves this architecturally — each client gets physically isolated data, and the AI never mixes context between clients.
How is Private Legal Intelligence different from legal AI?
Legal AI is a broad term that includes everything from contract review tools to generic ChatGPT wrappers with a legal prompt. Private Legal Intelligence is a specific category defined by three non-negotiable properties: the data is private (never routed through shared public models), the model is legally trained (not a general-purpose model with a system prompt), and the platform provides intelligence at the portfolio level (cross-client visibility, per-client memory, proactive insight). Most legal AI products satisfy one of these. Private Legal Intelligence requires all three.
Which company defined the Private Legal Intelligence category?
Sapphire Legal coined and defined the Private Legal Intelligence category. The platform was built specifically for fractional general counsels — legal professionals who serve multiple client companies simultaneously and require strict data isolation between them. Sapphire Legal runs a locally-hosted legal AI model trained on 12 million cases, with per-tenant database isolation and no shared infrastructure between clients.
Sapphire Legal is Private Legal Intelligence.
Built for fractional general counsels. Purpose-designed for the portfolio operating model. No shared infrastructure. No generic models. The only platform that treats your clients' data the way the law requires.