FairPlay Law Takes On GenAI Licensing for Film and TV Rights

A new legal business is betting that generative AI will create a major licensing market for film and television content rather than a simple choice between unrestricted training and total prohibition.

Reuters reported on September 17 that FairPlay Law has launched to help entertainment rights holders negotiate licensing arrangements with generative-AI companies. The firm was founded by lawyers with experience in entertainment and technology transactions.

The launch reflects a broader shift in the AI copyright debate. Rights holders are increasingly exploring whether valuable archives can become licensable assets for model training and AI-generated media, provided contracts define payment, permitted uses and protections.

Why film and television rights are complicated

A movie or television program can contain many layers of intellectual property. The underlying script, music, performances, characters, footage and trademarks may involve different owners and contractual rights.

That makes licensing content for AI more complicated than buying access to a simple dataset. A studio may control some rights while actors, writers, musicians or other participants retain contractual protections over specific uses.

Generative AI adds new questions because models can learn stylistic and visual patterns and then produce new material that may resemble existing works.

Licensing could create a middle path

The public debate around AI training often sounds binary: either companies can train on copyrighted material without permission, or they must avoid it entirely.

Commercial licensing offers another possibility. Rights holders can authorize specific uses in exchange for payment and contractual controls.

This is familiar territory in entertainment. Music, characters, footage and formats are routinely licensed for defined territories, durations and media. AI simply introduces new categories that contracts need to describe.

What an AI licensing agreement might address

A sophisticated agreement can specify whether content may be used for model training, fine-tuning, retrieval or generation. It can define whether outputs may reproduce characters or recognizable scenes and whether generated content can be sold commercially.

Contracts can also address security, deletion, audit rights and what happens when the agreement ends.

Compensation models may vary. Rights holders could receive upfront fees, recurring payments, usage-based royalties or combinations of those structures. The appropriate model depends on the value of the library and how the AI company plans to use it.

Why clean licensed data can be valuable to AI companies

AI developers need large, high-quality datasets. Material with clear legal rights can reduce uncertainty compared with data gathered from the open internet.

Licensed film and television archives can also contain professionally produced dialogue, imagery and storytelling structures that may be valuable for specialized models.

The trade-off is cost. Paying for data increases development expenses, especially if multiple rights holders must be compensated. AI companies will have to decide when the quality and legal certainty of licensed content justify the price.

Rights holders need to understand what they are selling

An AI license can have consequences beyond the initial payment. If a studio allows a model to generate content resembling its archive, that capability could eventually compete with the original library or alter the value of future licensing deals.

Rights holders therefore need to think about exclusivity, output restrictions and market substitution. A large upfront payment may be less attractive if the agreement grants extremely broad rights indefinitely.

Earnyx has covered a related issue in the copyright dispute over AI coding data. The entertainment industry faces different facts, but the underlying economic question is similar: who captures value when copyrighted material contributes to an AI system?

Actors and creators add another layer

Film and television contain identifiable human performances. Digital replicas of faces and voices have already become an important issue in entertainment labor negotiations.

A content owner may possess rights in a film without necessarily having unlimited authority to create new AI-generated performances from an actor’s likeness. Contracts, union agreements and state laws can impose additional requirements.

That means entertainment AI licensing cannot focus only on copyright ownership. Personality, publicity and contractual rights may also matter.

Why specialized legal firms are emerging

New markets often create demand for specialized intermediaries. Entertainment lawyers understand rights chains and talent agreements, while technology lawyers understand software licensing, data and AI systems.

Generative AI sits directly between those disciplines. A firm focused on the intersection can help rights holders identify what they control and structure agreements that technology companies can actually implement.

The existence of specialized firms also suggests that AI licensing is becoming a recurring commercial activity rather than an occasional experimental transaction.

What smaller creators should learn from the trend

Independent filmmakers, photographers, writers and other creators may not negotiate deals on the scale of major studios, but the same principles apply.

Creators should understand the rights they grant when uploading material to platforms or signing distribution agreements. AI clauses may become increasingly common, and broad language can cover uses that were not commercially significant when older contracts were drafted.

Maintaining records of ownership and contributor agreements can also make a creative library easier to license later.

The market still lacks standard terms

AI licensing is young, and pricing is not standardized. Different datasets have different scarcity, quality and legal complexity.

Some rights holders may prefer nonexclusive licenses to multiple AI companies, while others may charge a premium for exclusivity. Some may allow training but prohibit generation of recognizable characters. Others may license a narrow archive for a specific model.

Over time, repeated transactions could produce more common contract structures and benchmarks.

The bigger picture

FairPlay Law’s launch is a small event compared with the enormous investments being made in AI infrastructure, but it points to an important economic transition.

AI companies are moving from a period of rapidly gathering data toward a world in which provenance, licensing and contractual rights matter more. At the same time, media companies are looking for ways to monetize archives without surrendering control.

If licensing markets develop successfully, copyrighted content could become a formal input into AI production much like music rights are an input into film and advertising. The central challenge will be setting terms that reward rights holders while still allowing useful models to be built.