Private AI for Corporate & M&A Attorneys

Due Diligence Without the Data Room Risk.

Analyze term sheets, vendor agreements, and deal documents without creating another attack surface for material non-public information.

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The Scenario

You're reviewing 400 contracts in a data room for a $50M acquisition. The target has non-standard IP assignment clauses buried in vendor agreements. The deal closes in 3 weeks.

The "Cloud" Way

  1. You export contracts from the data room and upload them to a legal AI platform.
  2. Those term sheets, vendor agreements, and employment contracts with non-compete clauses now sit on another server.
  3. The acquisition target is material non-public information. So is the existence of the deal itself.
  4. That information is now in a startup's database—who else has access?
  5. If that startup has a breach, does your client's deal leak to the market?

Result: Market-moving information is now in a startup's database. If that startup has a breach, your client's deal could leak.

The inCamera Way

  1. You download contracts to your local machine from the data room.
  2. You drop them into inCamera. Document parsing happens locally in RAM.
  3. Your query ("Flag any IP assignment clauses that deviate from standard 'work for hire' language") goes directly to Vertex AI Enterprise.
  4. The response identifies 12 contracts with non-standard IP provisions.
  5. Processing memory is wiped. The deal documents never sat on a third-party server.

Result: The deal documents never sat on a third-party server. There's no startup database that could leak the acquisition.

Chain of Custody Comparison

Cloud Platform Model inCamera Model
Deal Documents Stored in vendor database Stays on your device
MNPI Exposure Third-party has access No third-party storage
Breach Impact Deal could leak to market No database to breach
Audit Trail Logs on vendor servers Local only—you control it

What You Can Do

Term Sheet Analysis

Analyze term sheets and LOIs for non-standard provisions—unusual liquidation preferences, anti-dilution terms, or governance rights.

Vendor Agreement Review

Identify unusual clauses across vendor agreement portfolios—assignment provisions, IP ownership, termination rights, and indemnification caps.

Board Resolution Summary

Summarize board minutes and corporate resolutions to trace authorization for major decisions and identify governance gaps.

Employment Agreement Audit

Extract key terms from employment agreements and non-competes—change of control provisions, severance obligations, and restrictive covenants.

Rep & Warranty Analysis

Cross-reference representations and warranties across deal documents to identify inconsistencies and disclosure gaps.

IP Assignment Verification

Verify IP assignment chains across employment agreements, contractor agreements, and contribution agreements.

Frequently Asked Questions

Is it safe to analyze confidential deal documents with AI?

With inCamera, yes. Deal documents are processed locally on your machine and sent directly to Vertex AI Enterprise under Zero Data Retention. The existence of the deal, the parties involved, and the terms never sit in a third-party database. Traditional legal AI platforms store your documents on their servers—creating another attack surface for material non-public information.

What if the AI company I use for due diligence is subpoenaed?

With inCamera, we have nothing to produce. Your term sheets, vendor agreements, and AI-generated analysis exist only on your local machine. We can confirm you have an account and provide billing amounts—we cannot produce deal documents because we physically do not have them.

Can using AI for contract review create insider trading risk?

With traditional AI platforms, there's a theoretical risk: if deal documents containing MNPI sit in a third-party database, that database represents an exposure point. With inCamera, documents never leave your device except as ephemeral, encrypted queries. There's no database of deal information to compromise.

Ready to analyze deal documents securely?

Join the verified community of attorneys using AI without the liability.

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