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SAMPLE REPORT — Preview the full claim preparation that RightsDocket generates for every provenance pack.

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Without this report, filing risk is Elevated — unresolved issues can trigger examiner correspondence, adding $350+ and months of delay.
  • 2 undisclosed AI-generated elements
  • 3 undocumented contributor roles
  • • No separability argument for human vs. AI authorship

Filing fees ($65) are non-refundable; first appeal adds $350.

01

Work Identification

60%
Claim Readiness
3/5
dimensions complete

Morning Coffee — Jingle

Musical Work (Jingle) · Abhishek BasuRD-2026-SAMPLE
Contributor DocumentationComplete
AI Tool DisclosureComplete
Human Contribution SpecificityComplete
Separability of Human vs. AI ElementsReview
Evidence AttachmentsPartial
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

Contributor Map

NameRoleSplitType
Abhishek BasuLyricist, Creative Director100%human
Suno AIMusic Generation (instrumental, vocals, production)ai
03

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.

04

Creative Decision Log

Timestamped evidence trail documenting every human creative decision — the backbone of a defensible claim.

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
05

USCO Form-Field 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 (Feb. 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 (Jul. 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

06

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 report is generated, here's exactly how you'll use it to file — no guesswork, no missed fields.

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.
Verification Link

In a live report, anyone with this link can verify the claim without accessing your account.

www.rightsdocket.com/verify/RD-2026-SAMPLE
Document hasha4f8e2c1d09b3f714c8899e2…7e3f
Ed25519 signatureed25519:9c2a18bf…d041

This report was generated by RightsDocket's USCO Claim Preparation Engine using deterministic taxonomy mapping. It does not constitute legal advice. 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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