Private AI for Family Law Attorneys

Your Client's Worst Day. Not in Someone's Database.

Analyze divorce discovery, financial disclosures, and custody evaluations without exposing your client's most sensitive information to third-party servers.

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The Scenario

You have a 200-page financial disclosure packet—bank statements, tax returns, business valuations, and retirement account statements. Opposing counsel is hiding assets. You need patterns.

The "Cloud" Way

  1. You upload the financial disclosure to a legal AI platform.
  2. Those bank account numbers, SSNs, and business valuations now sit on their server.
  3. Their 23-year-old developer has database access.
  4. If they suffer a data breach, your client's complete financial picture is exposed.
  5. The children's trust account numbers are now in a startup's database.

Result: Your client's complete financial picture—including the children's trust accounts—is now in a startup's database alongside 10,000 other divorces.

The inCamera Way

  1. You drop the financial disclosure into the app on your desktop.
  2. The documents are processed locally—PDFs converted to searchable text in RAM.
  3. Your query ("Find transactions over $10,000 in the 6 months before filing") goes directly to Vertex AI Enterprise.
  4. The response comes back. The processing memory is wiped.
  5. Your client's financial data never touched a third-party database.

Result: Your client's financial disclosure never left your machine except as an ephemeral, encrypted query. There's no database of divorce financials to breach.

Chain of Custody Comparison

Cloud Platform Model inCamera Model
Financial Data Stored in vendor database Stays on your device
SSNs & Account Numbers Exposed to vendor employees Never leaves your machine
Data Breach Risk Client data in breach No database to breach
Subpoena Exposure Vendor can be compelled Nothing to produce

What You Can Do

Hidden Asset Detection

Analyze financial disclosure documents for patterns—large transfers, unusual transactions, timing anomalies that suggest asset concealment.

Custody Evaluation Summaries

Summarize custody evaluation reports and GAL recommendations, highlighting key findings and areas of concern for your response.

Parenting Plan Drafting

Draft parenting plan provisions from existing agreements, adapting language to your client's specific circumstances and requirements.

Asset Timeline Extraction

Extract asset timelines from discovery productions—when accounts were opened, closed, or transferred, and tracing of separate property.

Expense vs. Income Analysis

Cross-reference claimed expenses with documented income to identify lifestyle inconsistencies or undisclosed income sources.

Business Valuation Review

Analyze business valuation reports, identifying methodology, assumptions, and comparable transactions for cross-examination prep.

Frequently Asked Questions

Can my client's financial disclosure end up in a data breach?

Not with inCamera. Financial disclosures are processed locally on your machine. When you query the AI, only the relevant text is sent via encrypted stream to Vertex AI Enterprise under Zero Data Retention—it's processed in transient memory and immediately wiped. There's no database of divorce financials to breach.

What happens if opposing counsel subpoenas inCamera for my client's financial analysis?

We have nothing to produce. Your client's bank statements, tax returns, and our AI-generated analysis exist only on your local machine. We can confirm you have an account and provide billing amounts—we cannot produce financial documents or analysis because we physically do not have them.

Is uploading sensitive divorce documents to AI tools ethical?

With traditional AI tools where documents are stored on third-party servers, there are legitimate confidentiality concerns. inCamera's architecture addresses this: documents stay on your device, processing is ephemeral, and there's no third-party storage. Courts generally recognize a "functionality exception" for necessary tools when reasonable confidentiality steps are taken—inCamera provides those steps architecturally.

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