# ChainOfFact Use Cases

ChainOfFact is used wherever AI or automated systems must later be examined under scrutiny.

## Use Cases

### Legal Discovery
Litigation involving AI-assisted decisions, disputes over what an AI system produced, and challenges to log integrity. ChainOfFact preserves evidence for legal proceedings. It does not provide legal advice, legal opinions, or expert testimony.
See: https://chainoffact.com/use/legal-discovery

### Regulatory Audits
Preservation and verification of evidence for audits conducted by regulators. ChainOfFact does not conduct audits, certify compliance, or determine regulatory sufficiency.
See: https://chainoffact.com/use/regulatory-audits

### Post-Incident Review
AI-related failures or harm, unexpected system behavior, and internal investigations.
See: https://chainoffact.com/use/post-incident

### Forensic Reconstruction
Reconstruction of historical AI behavior, long-running disputes, and multi-party verification. ChainOfFact preserves evidence for legal proceedings. It does not provide legal advice, legal opinions, or expert testimony.
See: https://chainoffact.com/use/forensic-reconstruction

### HR & Workplace AI
AI-assisted hiring, evaluation, or termination decisions and employment disputes involving automation.
See: https://chainoffact.com/use/hr-ai

## What All Use Cases Share

Across all scenarios, ChainOfFact provides:
- Append-only recording
- Cryptographic verification
- Explicit uncertainty
- Long-term evidentiary durability

Across all scenarios, ChainOfFact refuses to:
- Interpret outcomes
- Assign intent
- Replace institutional judgment

## The Only Promise

ChainOfFact is not a product that tells you what happened.

It is infrastructure that ensures whatever happened can still be proven later — even when incentives, narratives, and memories have changed.

That is its only promise.

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Canonical URL: https://chainoffact.com/use