docimprint

Legal & compliance workflows

How do law firms preserve document evidence with DocImprint?

Agents POST matter PDFs or URLs with store=true to create evidence bundles with manifest SHA-256, artifact hashes, and chain-of-custody logs. Bundles support legal hold, offline verify, and optional Base L2 notarization.

Can compliance agents verify claims against source documents?

Claim-check mode evaluates statements as supported, contradicted, or not_found with quoted passages and chunk_id citations. Each supported claim is verifiable via Merkle proof without trusting the extraction server.

What is legal hold on an evidence bundle?

PUT /v1/extract/{id}/hold blocks retention garbage collection and deletion (HTTP 409 on delete attempts) until hold is released — preserving evidence during active litigation or regulatory review.

Typical agent narrative

  1. Bootstrap — discover API via agent card and OpenAPI
  2. Capture evidence — full verifiable bundle from matter URL or PDF
  3. Verify claims — claim-check mode on captured or new sources
  4. Deposition Q&A — cited answers with chunk_id references
  5. Integrity — GET verify, citation proof, download ZIP
  6. Chain of custody — provenance logs, handoffs, version history
  7. Legal hold — block delete during litigation; release when cleared
  8. Notarize — optional Base L2 anchor for long-term proof
  9. Matter corpus — index bundles; search and cross-document ask

For x402 autonomous agents, use staging with mock payments or production with API keys when crypto micropayments are not appropriate for the firm.

Disclaimers — Suitable for technical evaluation; regulated production requires legal review of audit logs, retention policies, and your jurisdiction's evidence rules. AI-extracted content may contain errors and should not be relied upon as legal advice without independent verification by a qualified attorney. Handoffs are application-layer audit records, not cryptographically signed transfers of custody. DocImprint's notarization anchors a cryptographic hash on the Base blockchain; it is not equivalent to a notarial act performed by a licensed notary public and does not carry the legal weight of official notarization under applicable law. Very long or multi-page PDFs may be truncated for AI context; table extraction fidelity varies by document layout.

Evaluation metrics (labeled examples)

Example scenario: A matter corpus of 40 contract PDFs indexed into one collection. Cross-document Q&A returns answers with chunk_id citations verifiable via Merkle proof in <1ms each. Legal hold blocks delete (HTTP 409); bundle ZIP export includes full chain-of-custody log.

Illustrative workflow metrics — not customer testimonials. Regulated production requires legal review.

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