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RightsDocket is the Human Authorship Evidence Platform for AI-Assisted Audio. RightsDocket helps creators document human contribution, AI-tool usage, release-path context, and proof posture in a review-ready record. The workflow captures file hashes, metadata, contributor mapping, AI tool disclosures, and supporting evidence into an exportable record for review.

No. The workflow walks you through each step in plain language. You describe what you made, who contributed, what tools you used, and what evidence exists. RightsDocket turns those facts into deterministic review notes and a recommended product path.

MP3, WAV, AIFF, FLAC, M4A, and OGG. Our analyzer supports all standard audio formats. C2PA audio signing is on our roadmap. When available, MP3, WAV, and M4A will support embedded signing. FLAC and OGG will use sidecar manifests only.

You can complete the first review without uploading audio. Files are only uploaded if you choose to attach evidence to a claim.

It's a unique cryptographic fingerprint of your file. Even changing a single byte produces a completely different hash. This provides cryptographic evidence that a specific file hash existed at a specific time — which is foundational evidence for copyright claims.

Those platforms timestamp your upload but don't capture provenance: who contributed what, which AI tools were used, or structured claim language. RightsDocket builds the evidentiary record that matters when authorship needs review.

If the Free Rights Review points you to Rights Receipt, you can document the existing track with an HTML Rights Receipt, Signed Metadata, and a verification link. The HTML artifact includes human contribution, AI-tool, release-path, and evidence gap notes, and can be printed or saved as PDF through your browser.

We generate structured provenance records that map directly to USCO filing requirements. Each record includes: work identification, authorship attestation, contributor roles with percentage splits, and AI tool disclosures per the Copyright Office's March 16, 2023 guidance. RightsDocket records can include RFC 3161 timestamping.

A RightsDocket record can combine multiple evidence types: cryptographic file hashing (SHA-256), embedded audio metadata extraction (ID3/Vorbis), structured contributor attestations, AI tool usage disclosures, and RFC 3161 timestamping where applicable. Together, these create a layered evidence package that supports review but does not replace formal copyright registration.

Yes. Each project is isolated to a single client, and you can create as many projects as you need. The Human Proof Pack ($129) is for higher-stakes tracks where pre-creation evidence timing matters — one track, timestamped before the AI step where applicable, with stronger evidence support.

No. RightsDocket is an evidence-gathering and documentation tool. It produces structured records that support legal strategy but does not provide legal advice. We recommend using RightsDocket records as part of a comprehensive IP protection strategy led by qualified counsel.

RightsDocket records are designed with EU AI Act Article 50 transparency requirements in mind. The AI disclosure section captures the information needed to demonstrate compliance with emerging provenance mandates.

Features marked as 'on our roadmap' are planned but not yet available. We'll update this page as they ship. Core features — audio analysis, contributor mapping, AI disclosure, HTML Rights Receipt generation, Signed Metadata, and verification links — are live today.

Yes. Each release gets its own isolated project with full contributor mapping and AI disclosure. For higher-stakes tracks, the Human Proof Pack ($129) captures pre-creation evidence before AI generation. One track per pack, no expiration.

RightsDocket works alongside your existing DAW, distribution, and rights management tools. Creators complete the review workflow after their final mix or start a Human Proof Pack before creation, generating a record that can travel with release metadata.

The contributor mapping step supports unlimited contributors with role assignments (songwriter, producer, vocalist, engineer, etc.) and percentage splits. This is designed for the reality of modern music production where tracks often have 5–15 contributors.

API access for bulk operations is planned for Phase 2. Contact support@rightsdocket.com if you have catalog-scale needs — we're working with early teams to shape the API.