Industries · Legal

A defensible record of what the AI produced.

Legal teams use AI for discovery, contract review, and research. It's work where the integrity of the process can itself become an issue. AskLedger preserves a signed, tamper-evident record of exactly what an AI system produced, so the process is defensible if it's ever questioned.

The stakes

When AI touches evidence, the process has to be provable.

In litigation and regulated legal work, how a result was produced can matter as much as the result. If an AI system assisted in review or discovery, being able to show precisely what it did, reproducibly and without tampering, protects the integrity of the work product.

The same receipt AskLedger signs to prove your AI savings seals each AI output as a verifiable receipt, giving legal teams a chain of evidence for their own AI-assisted process.

Use cases

See it end to end.

DiscoveryAn AI-assisted document review is challenged

Workflow

AI classifies documentsrelevance / privilege calls at scale

Receipts seal each callinput hash, output & model version recorded

Opposing counsel challenges the processquestions the AI-assisted methodology

Process shown to be soundeach call verifiable and reproducible

The moment it matters
The reliability of the AI-assisted review is put in issue before the court.
Without proof
There's no verifiable account of what the tool did; the methodology is vulnerable to attack.
What the receipt proves
A tamper-evident record of each classification, defensible, reproducible, and independently checkable.

Regulatory & professional pressure

Aligned to duties of competence and candour.

Professional responsibility: duties around the reliability and supervision of AI tools.
Evidentiary standards: defensibility and reproducibility of AI-assisted process.
Client & data confidentiality: receipts store hashes, not privileged content.

See full regulatory coverage →

Keep your AI-assisted process defensible.

Talk to us about evidencing discovery, review, and advisory workflows.

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