FASHION VERTICAL

Fashion sits across several rights systems at once — design rights, trade marks and trade dress, and copyright in prints and patterns — alongside the likeness rights of the models who present it. Unlike most creative work, a fashion product can engage design rights, trade marks and trade dress, and copyright in surface designs simultaneously — different regimes with different tests and terms. Generative AI introduces AI-generated designs (raising authorship and derivation questions), digital and virtual garments, and tools that can rapidly imitate a house’s distinctive style — sharpening long-standing concerns about copying and brand dilution.

NILP covers the models. Third-party-marks handling covers engagement with brands and trade marks. Source-material records designs that draw on prior work, and output-provenance distinguishes AI-generated from human design. Output-licence and the CDR carry use and lineage. Missing is structure for design rights and for digital-garment assets.

1 — Design-right declaration (QUEUED): a machine-readable position on registered and unregistered design rights in a garment or pattern. 2 — Model-consent & usage scope (QUEUED): the model’s consent and its boundaries, including AI and virtual use. 3 — Virtual / digital-garment rights (QUEUED): rights structure for digital-only and virtual try-on assets. 4 — Brand / trade-mark engagement (QUEUED): declaring where deployment engages third-party marks or trade dress.

Legal references on this page are to well-established general doctrines only — no specific statutes, section numbers, dates, or figures are asserted. Qualified counsel should review before any of this is treated as authoritative. The field families listed above are not yet specified.

NILP Architecture for model likeness. Source Material Architecture (v3.34) for derivation. CIP-Third-Party-Marks (v3.33) and CIP-Trade-Dress (v3.35) for brand engagement. cip.md Generator for operator declarations.