Analyze legal documents locally with private AI reports

Runs your legal documents through a locally hosted AI to produce clean summary reports, without sending data offsite.

How the work actually flows

A straight line.

Pattern: Sequence (1) ยท Transient Trigger (23)

flowchart TD trig>"file dropped in folder"]:::trig s0["extract text from document"]:::task s1["AI analyzes and summarizes"]:::svc s2["generate HTML report"]:::task s3[("save report locally")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"private summary report saved"/]:::out pay{{"confidential review without cloud risk"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsDocument Processing & OCRReporting & Analytics
Connects
Ollama
Featured in

The problem it solves

Sensitive legal documents can't go through cloud AI tools without raising data privacy concerns. Reviewing and summarizing them by hand is slow, especially when you're working through a large batch of files.

Who it fits

Law firms, compliance teams, and organizations that must keep sensitive documents off the cloud.

How it works

  1. You drop a document, such as a PDF or Word file, into a watched folder
  2. The system extracts the text content from the file
  3. A locally run AI model analyzes and summarizes the document
  4. It generates a structured HTML report from the analysis
  5. The report is saved locally, with your original document never leaving your system
What you get

Reports ready to guide your next legal review

You get a clear, structured summary report of every legal document you review, generated without any data ever leaving your system.

What you get

A structured HTML summary report for each document, stored entirely on your own systems.

What you need

A self-hosted automation server and a locally running Ollama AI server with a model installed.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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