RightsDocketRightsDocket

Product

One free diagnostic. Two paid evidence products.

RightsDocket is the Human Authorship Evidence Platform for AI-Assisted Audio. RightsDocket helps creators document human contribution, AI-tool usage, release-path context, and evidence posture in a review-ready record. Start with the Free Rights Review; RightsDocket shows what is documented, what is missing, and whether your situation points to a Rights Receipt or Human Proof Pack.

Free Rights Review

The diagnostic entry point. RightsDocket reviews what you made, how AI was used, what evidence exists, and what you want to do with the track.

Rights Receipt

The paid product for documenting an existing AI-assisted track with an HTML Rights Receipt, signed metadata, and verification link built from evidence you already have.

Human Proof Pack

The paid product for stronger evidence before or during creation, including source-material capture, timestamping, and lock state where applicable.

How it works

From review to the right evidence package.

The workflow uses deterministic review logic, not LLM-generated claim language. The same project facts drive the review notes and the recommended product path.

1

Start with the Free Rights Review

Tell RightsDocket what you made, which AI tools were used, what evidence exists, and what you want to do with the track.

2

Find what is documented and missing

RightsDocket maps human contribution, tool and provider context, release path, and evidence support with deterministic review logic.

3

Get the prescribed product path

Existing tracks resolve toward a Rights Receipt. Tracks that need stronger pre-creation or contemporaneous evidence resolve toward a Human Proof Pack.

4

Generate the evidence package

The paid product packages the evidence you provide into an HTML Rights Receipt or HTML Human Proof Pack with signed metadata and verification handling where applicable.

Rights Receipt

For existing AI-assisted tracks.

Document an existing AI-assisted track with a structured provenance package built from the evidence you already have.

  • HTML Rights Receipt
  • Signed Metadata
  • verification link
  • human contribution summary
  • AI-tool and provider notes
  • release-path notes
  • evidence gap notes
  • Print / Save as PDF
  • timestamping/signing where applicable

Human Proof Pack

For stronger evidence before or during creation.

Capture stronger evidence before or during creation, then generate a provenance package for higher-stakes review.

Includes everything in the Rights Receipt path, plus:

  • pre-creation source-material capture
  • lyric/source-material timestamping before downstream AI generation
  • lock state / creation-time record
  • stronger provenance posture when conditions are met
  • Human Source Evidence Manifest for higher-stakes review

Why trust it

Built to be reviewable, not mystical.

RightsDocket is not a chatbot improvising legal-sounding copy. It uses structured review logic to produce consistent, reviewable outputs from the facts the user provides.

What that means for you

  • Creates a cleaner evidence record before review or filing preparation
  • Standardizes review notes across projects
  • Surfaces evidence gaps early
  • Creates a cleaner internal record for labels, counsel, and collaborators

What it does not do

  • It does not file with the Copyright Office for you.
  • It does not turn weak facts into strong evidence.
  • It does not replace legal judgment in edge cases.
  • It does make the record cleaner, more consistent, and easier to review.

Start with the diagnostic.

The Free Rights Review shows what is documented, what is missing, and which paid product fits the track.