Platform Boundaries

What this is (and what it isn't).

This is a high-assurance research workspace.

The Nora Foundation platform provides advanced computational tools to analyze, synthesize, and interrogate legal information. It is designed to help advocates, researchers, and pro se litigants map out complex civil rights issues faster than previously possible.

Through our donation-as-access model, supporters directly fund the compute capacity required to run these models, while simultaneously subsidizing free access for approved grant recipients.

This is NOT a law firm.

The Nora Foundation is a nonprofit organization. We are not a law firm, and we do not provide legal advice. Using this platform does not create an attorney-client relationship.

Nothing produced by the research workspace—including Deep Analysis reports or Adversarial Reviews—should be submitted to a court or used as the sole basis for legal action without independent verification and consultation with a qualified attorney in your jurisdiction.

These are LLMs, not oracles.

Large Language Models (LLMs) are probabilistic engines. While we have engineered the Deep Analysis pipeline to be as adversarial and self-correcting as possible, it is still software.

It can hallucinate. It can miss nuance. It can be wrong.

The platform provides a "Heuristic Confidence" score and explicit "Critical Gaps" warnings to help you assess the reliability of a given output. These are transparency mechanisms exposing the model's internal state, not independent guarantees of factual accuracy. You must read the primary sources cited in the evidence blocks.

Privacy and your data.

If you upload documents or enter sensitive queries, that data is processed securely to generate your result. We do not use your private research data or uploaded case files to train foundation models.

By default, your research is private to your account. It is only visible to the public if you explicitly click "Share" to list it in the Community Research gallery.

Ready to explore?

See how the platform handles real questions in the public gallery.

View Community Research
Support the work →