RightsDocketRightsDocket

SAMPLE RIGHTS RECEIPT — See how RightsDocket turns an AI-assisted track into an HTML Rights Receipt, Signed Metadata, and a verification link for creators, managers, lawyers, labels, or distributors to review.

What you get in this sample

Rights Receipt

A plain-English summary of the track, AI involvement, human contribution, and review posture.

Review notes

The issues RightsDocket found: provider rules, release path, human contribution, and evidence gaps.

Signed Metadata

The supporting hashes, timestamps, file details, contribution notes, and verification materials that make the record reviewable.

Paid records include an HTML artifact, signed metadata, and a verification link.

RightsDocketRightsDocket/ HTML Rights Receipt · Signed Metadata
What a structured record surfaces that ad-hoc filing would miss
On this sample track, the record flagged:
  • 2 AI-generated elements that would otherwise read as human-authored
  • 2 contributor roles without documented scope
  • • No clear explanation of human vs. AI-assisted material
Reviewers, labels, and the Copyright Office can't resolve these on their own — RightsDocket captures them up front so the record stands up under inspection.
01

Work Identification

60%
Review Readiness
3/5
dimensions complete
Review needed

Morning Coffee — Jingle

Musical Work (Jingle) · Abhishek BasuRD-2026-SAMPLE
File AnalysisAuto-detected from uploaded file
Title
Morning Coffee
Format
WAV (PCM 24-bit, 48kHz)
Duration
2:47
Artist
Abhishek Basu
Vocals
Detected
SHA-256 8f434346648f6b96df89dda901c5176b10a6d839…
02

Readiness Checklist

Contributor Documentation
2 contributors documented with roles and split percentages totaling 100%.
Complete
AI Tool Disclosure
Suno AI identified as generation tool. Usage scope: full instrumental and vocal generation from author-supplied lyrics.
Complete
Human Contribution Specificity
Lyrics (original composition and editorial revision), selection and arrangement of AI-generated outputs across multiple generation cycles.
Complete
Separability of Human vs. AI Elements
Lyrics are clearly separable. Selection/arrangement argument depends on documenting the iterative generation process — how many outputs were evaluated and what criteria drove selection.
Completing this strengthens the claim's defensibility under the USCO's 'perceptible and separable' test.
Review
Evidence Attachments
Audio file hash captured. Lyric drafts and Suno generation history not yet attached.
Adding source files creates a multi-point evidence trail that strengthens the claim if challenged.
Partial
03

Contributor Map

NameRoleSplitType
Abhishek BasuLyricist, Creative Director100%human
Suno AIMusic Generation (instrumental, vocals, production)ai
04

AI Disclosure

Suno AI
Music Generation (instrumental, vocals, production)
AI Tool
Disclosure StatusComplete

Suno AI identified as generation tool. Usage scope: full instrumental and vocal generation from author-supplied lyrics.

05

Creative Decision Log

Timestamped evidence trail documenting human creative decisions for the review record.

Mar 10, 2026Abhishek Basu
Original lyrics drafted
Text file, 3 verses + chorus
SHA-256: 82a1f3…e91d
Mar 12, 2026Suno AI
First generation cycle in Suno
Lyrics pasted, 5 variations generated
Mar 12, 2026Abhishek Basu
Lyrics revised based on musical output
Adjusted chorus phrasing for melodic fit
SHA-256: c44b21…0f7a
Mar 14, 2026Abhishek Basu
Second generation cycle — refined output selected
8 variations evaluated, version 6 selected for final
SHA-256: 19dc88…3b2e
Mar 14, 2026Suno AI
Final audio exported from Suno
WAV export, 24-bit 48kHz
06

Deterministic Claim Language Mapping

eCO Field: Author Created
Lyrics: original composition and editorial revision by Abhishek Basu. Selection and arrangement: the author evaluated multiple AI-generated musical outputs, selected preferred versions, and directed iterative refinement of lyrical and compositional elements across multiple generation cycles.
Why this language?

This language maps documented contributor roles to USCO-recognized categories: literary authorship (lyrics) and creative selection/arrangement. The iterative generation process establishes human creative control beyond mere prompting.

USCO Registration Guidance, 88 Fed. Reg. 16,190 (Mar. 16, 2023)

eCO Field: New Material Included
Lyrics: original composition and editorial revision by Abhishek Basu. Selection and arrangement: the author evaluated multiple AI-generated musical outputs, selected preferred versions, and directed iterative refinement of lyrical and compositional elements across multiple generation cycles.
Why this language?

The USCO requires New Material Included to match Author Created. This field confirms what you are adding as new human-authored material — distinct from the AI-generated content you excluded above, which remains unclaimed under this filing.

USCO Registration Guidance, 88 Fed. Reg. 16,190 (Mar. 16, 2023)

eCO Field: Material Excluded → Other
Musical composition (melody, harmony, chord progressions), instrumentation, arrangement, vocal performance, and vocal synthesis — all generated by Suno, an AI music generation platform, from author-supplied lyric inputs and iterative directional prompts.
Why this language?

The USCO requires disclosure of AI-generated material. All sonic elements generated by Suno are excluded because the AI system — not the human author — determined their specific expression.

USCO Registration Guidance — 'Material Excluded'; Part 2 Report (Jan. 2025)

eCO Field: Note to Copyright Office
This work was created using Suno (suno.com), an AI music generation platform. The author supplied original lyrics and iteratively refined them across multiple generation cycles, evaluating AI outputs and selecting preferred versions based on artistic judgment. The author claims copyright in the original and revised lyrics and in the selection and arrangement of AI-generated musical elements. No claim is made in the AI-generated musical, vocal, or instrumental elements.
Why this language?

This Note preempts common examiner questions by delineating human vs. AI contributions and establishing that the claimed elements reflect original creative expression under the Feist standard.

USCO Registration Guidance — supplemental explanation field

Behind the filing fields.

The USCO Limitation of Claim screen has 3 text fields and 2 checkboxes. RightsDocket maps each result through 4 Proof Pillars and deterministic rights logic — every branch tested against the 2023 USCO Registration Guidance, the 2025 Part 2 Report, and examiner correspondence patterns from Zarya of the Dawn and subsequent cases.

Paid exports package this reasoning into a reviewable record, not a generic fillable PDF.

07

Risk Flags & Filing Guidance

Selection/arrangement argument needs documentation of iterative processMedium

The USCO may ask how the author's selection of AI outputs constitutes sufficient creative expression. Document the number of outputs evaluated, the criteria used for selection, and any modifications made between generation cycles.

See Zarya of the Dawn (Reg. # VAu001480196) — USCO limited registration to selection/arrangement that was 'sufficiently creative.'

No ISRC identifier in file metadataLow

If this work will be commercially distributed, adding an ISRC strengthens the link between the claim and the distributed recording.

Best practice for works intended for commercial distribution.

Once your pack is generated, here's how it can support filing — review the fields carefully before submission.

Standard Application ($65 filing fee)
AI-assisted works require the Standard Application to access Limitation of Claim fields. The $45 Single Application cannot be used.
  1. 1Log in to the eCO system at copyright.gov
  2. 2Select 'Register a New Claim' → 'Standard Application'
  3. 3In 'Author Created,' paste the text from Section 02 above
  4. 4In 'Limitation of Claim → Other,' paste the Material Excluded text
  5. 5In 'Note to Copyright Office,' paste the supplemental Note
  6. 6Upload your deposit copy (the audio file)
  7. 7Pay the $65 filing fee and submit
Expected timeline: ~2 months (electronic) to 3.7+ months if examiner requests additional information.
If correspondence: If the Copyright Office sends correspondence, refer to this report's Creative Decision Log and Risk Flags to draft your response.
Sample Verification Link

This sample record is not a live filing. In a live record, anyone with this link can verify the RightsDocket record without accessing your account.

www.rightsdocket.com/verify/RD-2026-SAMPLE
Verify sample receipt
Evidence Package Integrity
Supported Signed AssetSigned WAV asset with embedded C2PA manifest
ASLE Decomposition3 human-confirmed layers · 2 AI-generated layers
RFC 3161 TimestampTSA: timestamp.digicert.com · Mar 14 2026 14:32:07 UTC
Document Hasha4f8e2c1d09b3f714c8899e2…7e3f
Ed25519 Signatureed25519:9c2a18bf…d041

In this sample, the supported WAV asset carries the embedded C2PA manifest. The Rights Receipt and review context live in the structured evidence record, not in the C2PA manifest.

This sample record was generated by RightsDocket's deterministic evidence, review, and verification workflow. It does not constitute a legal opinion. Registration decisions are made by the U.S. Copyright Office. The claim language in this report is rule-mapped from user inputs — it is not generated by a large language model.

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