Private AI Built for Law Firms
Give your attorneys the productivity of AI tools like ChatGPT — without client data ever leaving your firm's control.
The challenge
The Challenge
Your associates are already using ChatGPT with client data. They're summarizing depositions, drafting discovery responses, and uploading opposing counsel's briefs — because it makes them measurably faster. But every one of those interactions sends privileged client information to a third-party server your firm doesn't control.
The compliance exposure is real. Federal courts have ruled that AI conversations are discoverable. The ABA issued Formal Opinion 512 in 2024 establishing the baseline for how lawyers must evaluate AI tools, and state bars across the country are building enforcement frameworks on top of it. The consensus is clear: firms need to control where client data goes. And a firm-wide ban just drives the behavior underground. You need a way to give your team AI tools that keep client data inside the building.
The Metrovolo approach
The Metrovolo Approach
Metrovolo gives your firm a private AI assistant that runs on infrastructure you control. Associates get the same intuitive chat interface they're used to — but every query, every uploaded document, every response stays within your firm's secure environment. Nothing is sent to OpenAI. Nothing is used to train external models.
Connect it to your firm's document management system and your attorneys can search across matters, draft from precedent, and summarize case files — all without client data leaving the building.
This directly addresses the Rule 1.6 concern. Because data is processed entirely within your firm's infrastructure, no third-party AI provider ever has access to client information. There is no external data retention, no model training on your inputs, and a full audit trail documenting every AI interaction. If a bar authority asks where client data was processed, the answer is straightforward: within the firm's own environment. And because conversations happen on your infrastructure rather than a third-party platform, they are not subject to the same discovery exposure as consumer AI interactions.
Capabilities
What Your Team Will Use It For
Summarize Contracts
Summarize lengthy contracts, depositions, and filings in seconds
Draft Motions
Draft first-pass motions, briefs, and client correspondence
Search Precedent
Search across your firm's historical matters for relevant precedent
Prepare Case Summaries
Prepare case chronologies and fact summaries from source documents
Review Documents
Review and redline documents with AI-assisted markup
Generate Billing Narratives
Generate billing narratives and matter status updates
Compliance
Metrovolo deployments are designed to meet ABA Model Rule 1.6 confidentiality requirements. All data is encrypted at rest and in transit, fully isolated per-client, and never shared with any third-party AI provider.
FAQ
Frequently Asked Questions
Can lawyers use ChatGPT with client data?
Not consumer ChatGPT. ABA Model Rule 1.6 requires firms to make reasonable efforts to prevent unauthorized disclosure of client information, and consumer AI tools that process data on third-party servers do not meet that standard. Lawyers can use AI with client data when it runs on private infrastructure the firm controls.
What does ABA Model Rule 1.6 say about AI tools?
Rule 1.6 requires lawyers to make reasonable efforts to prevent unauthorized disclosure of client information. Using consumer AI tools that transmit data to third-party servers — and may use it for model training — is increasingly difficult to defend as meeting this standard. Private AI on firm-controlled infrastructure keeps client data within the firm's environment.
How is private AI different from ChatGPT Enterprise for law firms?
ChatGPT Enterprise adds access controls and data handling improvements, but client data still travels to and is processed on OpenAI's infrastructure. With private AI, the models run on infrastructure the firm controls and data never leaves. For firms where client confidentiality is a regulatory obligation, this distinction matters.
How long does it take to deploy private AI for a law firm?
Metrovolo deploys in 7 days or less. Your firm gets a private AI environment with a familiar chat interface, document upload, and search capabilities — without needing to hire technical staff or manage infrastructure.
What does private AI for law firms cost?
Pricing is tailored to firm size and needs. Managed private AI costs a fraction of the liability exposure from a single confidentiality breach, and a fraction of building and maintaining the infrastructure in-house. Book a demo for firm-specific pricing.