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Universal Music Group Files Multiple AI Patents for Copyright-Controlled Music Derivatives

Universal Music Group has developed a series of patents through its partnership with Liquidax Capital, focusing on AI-generated music derivatives with built-in copyright controls. The portfolio includes systems for approval processes, distribution restrictions, and merchandise applications. Industry debates continue over walled garden models versus open access for AI music tools.

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2 sources·Apr 22, 7:46 PM(13 days ago)·5m read
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Universal Music Group has built a patent portfolio around AI infrastructure for music derivatives through a partnership with Liquidax Capital, aiming to enforce copyright compliance and content owner control in AI-generated works. The company announced the strategic partnership with Liquidax, led by CEO Daniel Drolet, in July 2025 to accelerate development and licensing of music-related AI patents.

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Music IP Holdings, Inc.

(MIH) was formed to license the technology globally, with UMG filing 15 patents across fields including musical collaboration, multimedia content creation, AI threat protection, and rights management. By November 2025, MIH opened a headquarters on Nashville’s Music Row, with Daniel Drolet serving as Chairman and CEO.

In a November 2025 press release, MIH stated it held more than 60 protected innovations with numerous additional technology families and portfolios under development.

A patent titled ‘AI-GENERATED MUSIC DERIVATIVE WORKS’ was filed on October 24, 2024, and granted on June 3, 2025, originally listing Daniel Drolet as the sole inventor. A subsequent expanded continuation, assigned to MIH and currently pending, was filed in August 2025 and adds Chris Horton, Jeremy Uzan, and Sion Elliott as co-inventors alongside Drolet.

Chris Horton is EVP, Strategic Technology at UMG; Jeremy Uzan is Director, AI and Advanced Technology at UMG; and Sion Elliott is Director, Global New Business Strategy at Universal Production Music.

The abstract in the updated continuation filing describes a system and method for creating AI-generated derivative works from predetermined content with copyright compliance and content owner control. The system receives predetermined content and a user-requested transformation theme, then employs generative artificial intelligence to create a derivative work.

The system may enable scalable rights management for AI-generated content across music, video, text, and other media formats.

Another patent, ‘MULTI-STAGE APPROVAL AND CONTROLLED DISTRIBUTION OF AI-GENERATED DERIVATIVE CONTENT,’ was filed on May 2, 2025, and granted on September 23, 2025, naming Chris Horton, Jeremy Uzan, Sion Elliott, and Daniel Drolet as inventors. It describes a method combining a machine-learning approach with predefined rule sets established by content owners that specify permissible and impermissible transformations for specific content.

The patent includes a two-stage approval process: one check before the AI generates anything, another on the finished output.

It refers to pre-generation preference data and post-generation preference data associated with a content authority, defined as any entity having legitimate control, decision-making power, or governance rights over digital or creative content and its permissible transformations, including a natural person such as an artist, creator, or designated individual, as well as legal entities and rights management organizations.

The filing provides an example where if an artist is vegetarian and does not want their voice or style used in songs about meat consumption, this preference can be captured by their label ahead of time and provided to the content derivation platform.

It also describes a feature allowing users to replace lead vocals in an existing recording with the voice of another artist who has consented to such transformations.

The selection action may trigger the attribution and remuneration system, ensuring appropriate compensation to both original and substitute artists. The patent sets out distribution controls that prevent unauthorized use of derivatives on third-party platforms, with partner platforms including streaming services, social networks, and distribution aggregators contractually required to scan incoming content for markers and take automated enforcement action based on encoded rules.

The filing describes context-restricted playback, where transformed works are only accessible within the approved media environment.

It also outlines automated revenue distribution via a smart contract that allocates revenue from each authorized distribution of the derivative work to stakeholders identified in the usage registry, triggered each time the digital identifier is verified during a streaming session.

A third patent, ‘AI-GENERATED DERIVATIVE CONTENT SCALING FOR MERCHANDISE,’ was filed on October 3, 2025, and is pending, naming Horton and Uzan as inventors. It applies to AI-generated album artwork derivatives, apparel designs, posters, and virtual goods, all under the same governance framework as the audio filings.

The fan-facing side of the system is designed around a five-step journey on a mobile app, with the backend pulling from a library of artist reference materials including artist logos, artist fonts, lyrics and text, album art, and tour visuals. The fan’s request passes through two AI components: a knowledge agent that checks it against the rightsholder’s brand guidelines and an action agent that runs the generative AI and produces the design.

The design then goes through an approval check: if it fails, it’s rejected; if it passes, it moves on to fulfillment.

Physical merchandise is routed to a print agent that feeds a print-on-demand partner and a shop agent that lists the product on an e-commerce storefront, while virtual merchandise takes a separate path to a 3D rendering engine and metaverse platforms.

Both tracks feed into a contract that distributes revenue to stakeholders. The platform operates in real time during live events, with concert-synchronized merchandise generation pulling in data about the song being played, stage visuals, lighting, crowd engagement, and venue location to produce context-specific items.

Fan co-creation interfaces check each modification against brand rules in real time, and authentication combines physical elements like holographic tags or QR codes with embedded digital identifiers. MIH claims more than 60 protected innovations, suggesting the portfolio extends beyond the derivative works family into other fields including musical collaboration, music and health, and AI threat protection.

On April 8, 2026, at the HumanX conference, Michael Nash, UMG’s EVP and Chief Digital Officer, referenced UMG’s AI patent activity.

' On UMG’s Q2 2025 earnings call in July 2025, Chairman and CEO Sir Lucian Grainge noted that the technology underpinning Sound Therapy is not the only tech built in-house using AI. ' The music industry is debating how AI-generated derivatives of existing music should be created, licensed, and monetized. Universal Music Group has championed a walled garden model for AI derivatives.

Universal Music Group settled with Udio in October 2025, where AI-generated music cannot be downloaded or distributed outside the platform on which it was created. Michael Nash argued that without restrictions, AI derivatives risk allowing users to effectively use artists’ content and their brand to create derivatives where you’re going to compete with the artist on other platforms.

UMG and Sony Music are pursuing litigation against Suno.

Paul Sinclair, Chief Music Officer at Suno, advocated for open studios, not walled gardens. Warner Music Group struck a deal with Suno in November 2025 that preserved users’ ability to download their creations. In February 2026, Spotify Co-CEO Gustav Söderström said the streaming giant’s technology to let fans make AI-generated remixes and covers was ready, but that the absence of a rights framework was holding things up.

Key Facts

UMG Patent Portfolio Expansion
UMG filed 15 patents with Liquidax across multiple AI fields, leading to over 60 innovations by MIH.
AI Derivative Works System
Patents describe systems for AI-generated music with multi-stage approvals, distribution controls, and automated revenue sharing.
Merchandise Application
Pending patent extends framework to AI-generated merchandise with real-time event synchronization and fan co-creation.
Industry Debate
UMG champions walled garden model, settling with Udio and litigating Suno, while Warner deals allow downloads.
Recent Statements
Nash and Grainge highlighted AI innovations in health, marketing, and rights management since 2020.

Story Timeline

6 events
  1. 2026-04-08

    Michael Nash referenced UMG’s AI patent activity at the HumanX conference.

    1 sourceunattributed
  2. 2026-02

    Spotify Co-CEO Gustav Söderström said Spotify’s AI remix technology was ready but held up by rights framework absence.

    1 sourceGustav Söderström
  3. 2025-11

    MIH opened headquarters on Nashville’s Music Row and claimed over 60 protected innovations.

    1 sourceunattributed
  4. 2025-10-03

    Patent ‘AI-GENERATED DERIVATIVE CONTENT SCALING FOR MERCHANDISE’ filed.

    1 sourceunattributed
  5. 2025-09-23

    Patent ‘MULTI-STAGE APPROVAL AND CONTROLLED DISTRIBUTION OF AI-GENERATED DERIVATIVE CONTENT’ granted.

    1 sourceunattributed
  6. 2025-07

    UMG announced partnership with Liquidax Capital.

    1 sourceUniversal Music Group

Potential Impact

  1. 01

    Potential standardization of AI rights management in music industry, reducing infringement risks.

  2. 02

    Expansion of revenue streams for artists through controlled AI derivatives and merchandise.

  3. 03

    Increased litigation or partnerships between labels and AI platforms like Suno and Spotify.

  4. 04

    Acceleration of AI tool adoption in streaming services once rights frameworks are established.

  5. 05

    Influence on global music licensing frameworks, favoring content owner controls.

Transparency Panel

Sources cross-referenced2
Framing risk28/100 (low)
Confidence score65%
Synthesized bySubstrate AI
Word count1,103 words
PublishedApr 22, 2026, 7:46 PM
Bias signals removed3 across 3 outlets
Signal Breakdown
Loaded 1Framing 1Speculative 1

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