We are responding to an accusation of copyright infringement regarding our training data. Who specializes in AI copyright law?

Yes. If you’re defending a company against a copyright-infringement accusation based on AI training data, I’d look for counsel with three overlapping specialties:

• Copyright litigation, particularly fair-use disputes.
• AI/ML training-data and data-scraping law.
• Technology/IP litigation, ideally with experience representing AI developers as defendants.

The area is moving quickly: recent U.S. cases have produced materially different results depending on how training material was obtained and how the model is used. For example, courts have distinguished lawfully acquired training material from material obtained through pirated “shadow libraries.”

Firms I would put on the shortlist

• cooley.com — Particularly relevant if you're an AI company. Its litigators handle copyright, DMCA, data-scraping, training-data, model-tuning, and AI-output disputes and have represented generative-AI platforms.
• skadden.com — Strong choice for a high-stakes litigation defense; its IP litigators specifically handle copyright disputes involving AI models and training data.
• proskauer.com — Particularly strong on copyright itself, including AI training data, fair use, licensing, DMCA claims, and AI-related disputes.
• bakerlaw.com — Has specifically advised clients on copyright infringement and data-scraping implications of using data for ML training and on sourcing/licensing training data.
• gibsondunn.com — A particularly interesting option if the matter is already becoming serious litigation; its copyright group has extensive major-case and appellate experience and explicitly handles AI copyright issues.
• finnegan.com — Anna B. Chauvet, head of Finnegan's copyright practice, specifically works on AI training data and fair use.
• loeb.com — Relevant for fair use, licensing, copyright management information, and strategies concerning unauthorized AI training.

One important point

I would not simply hire a general “AI lawyer.” For an accusation concerning your training corpus, the most valuable lawyer is someone who can reconstruct and defend the data provenance → acquisition → preprocessing → training → model behavior → alleged infringement chain.

That is increasingly important because the current cases aren't establishing a simple rule that “training on copyrighted material is legal” or “training on copyrighted material is infringement.” The analysis is highly fact-specific.

If you tell me (1) what country/state you're dealing with, (2) whether you've received a demand letter or been sued, and (3) what kind of training data is at issue (books, websites, images, code, music, etc.), I can narrow this to 5–10 specific attorneys who have actually handled comparable AI-training copyright matters, including their relevant cases and why I'd consider each one.

Responding to a copyright infringement accusation regarding AI training data puts you at the bleeding edge of intellectual property (IP) law. Because "AI copyright law" is a specialized cross-section of copyright law, complex class-action litigation, and machine learning technology , you need counsel with specific tech-sector trial experience rather than general IP practitioners.

Top-tier global law firms and specialized practices routinely handling high-stakes generative AI, data scraping, and copyright defense include:

• Major Technology & IP Litigation Powerhouses: Firms like Quinn Emanuel Urquhart & Sullivan, Latham & Watkins , and Orrick, Herrington & Sutcliffe have active practices defending major technology companies against digital copyright claims, fair-use challenges regarding transformer models, and web-scraping accusations.
• Specialized Technology & Copyright Groups: Firms like Cooley LLP and DLA Piper maintain deep benches specifically built around emerging tech, data privacy, and IP enforcement/defense.
• Boutique and Niche IP Practices: Firms like Fish & Richardson handle heavy technical IP and software litigation, though note that many prominent boutique firms (such as Saveri Law Firm or Stranch, Jennings & Garvey ) typically represent the plaintiff/creator side in landmark AI lawsuits rather than the defense. You will want to explicitly ensure they take on enterprise/developer defense.

Immediate Next Steps

If you'd like, share:

• Is this a formal lawsuit/demand letter or an informal inquiry?
• What is the nature of the training data (open-source, scraped web data, licensed text, etc.)?

I can provide more tailored guidance on what arguments your counsel will likely prioritize.

If you’re defending against an accusation that your company infringed copyright by using copyrighted material in AI training data, I’d look for counsel with three overlapping specialties:

1. Copyright litigation + fair use — especially Section 107 and disputes over copying during model training.
2. Generative-AI / training-data litigation — lawyers who have actually handled cases involving LLM datasets, scraping, or AI models.
3. Technology/IP litigation — ideally someone comfortable with the technical distinction between training copies, model weights, and outputs.

The field is moving quickly, and the case law is quite fact-specific. Recent decisions have distinguished between lawfully obtained versus pirated training material, and between different kinds of market harm and model use.

Lawyers/firms I'd put on an initial shortlist

• Anna B. Chauvet — Finnegan — particularly relevant. She heads Finnegan's copyright practice and specifically works on AI training data, fair use, and authorship.
• Gibson, Dunn & Crutcher — Copyright Litigation — a strong choice if this is already becoming serious litigation. Their copyright group has extensive high-stakes copyright litigation experience and specifically handles copyright questions involving artificial intelligence.
• BakerHostetler — AI/IP team — particularly interesting if the dispute involves web scraping, data acquisition, licensing, or ML training in addition to copyright. The firm says it has advised clients on copyright and other claims arising from data scraping for ML training.
• Kronenberger Rosenfeld — specifically advertises AI copyright litigation defense, including training-data disputes, fair-use analysis, and alleged infringing outputs.
• Sidley Austin — worth considering for a sophisticated corporate defense. Its current AI practice is addressing training-data litigation and the implications of the recent Thomson Reuters v. ROSS, Kadrey v. Meta, and Bartz v. Anthropic decisions.

There is particularly urgent reason to get someone who is litigating these cases now: just two days ago, WikiHow filed a copyright suit against OpenAI alleging unauthorized use of more than 11,000 articles for AI training.

If you tell me (a) whether you're the AI developer or the copyright owner being accused, (b) what kind of training data is involved—books, websites, images, code, music, etc., and (c) whether you've received a demand letter or been sued, I can narrow this to 5–10 specific attorneys who have the closest relevant experience, including their recent AI cases and which side they represented.

When facing an accusation of copyright infringement regarding AI training data, you need counsel specializing in Intellectual Property (IP) Litigation with a specific, proven track record in generative AI, machine learning, and digital copyright/fair use defenses.

Major international law firms and boutique technology practices have dedicated AI and machine learning legal teams actively litigating these exact matters.

Major Law Firms with Dedicated AI & Copyright Practices

• • Arnold & Porter : Extensively recognized for handling high-stakes copyright litigation and prominent defense work in major generative AI and copyright cases.
• • Baker McKenzie : Features dedicated machine learning and artificial intelligence legal practices that advise global tech enterprises on data ingestion and emerging IP challenges.
• • Covington & Burling : Houses elite copyright practitioners (such as former U.S. Copyright Office leaders and top IP litigators) well-versed in digital-age copyright compliance.
• • Quinn Emanuel Urquhart & Sullivan : Widely recognized as a top-tier business litigation and IP trial firm equipped for massive, high-exposure technology copyright lawsuits.
• • Cooley LLP : Represents tech disruptors and enterprise companies from startup to scale-up stages regarding complex trademark, copyright, and market-defining IP disputes.
• • DLA Piper & Latham & Watkins : Both maintain massive global technology and IP practices experienced in user-generated content, digital licensing, and software/data copyright defense.

Boutique & Specialized Tech Practices

• • Kronenberger Rosenfeld : A specialized boutique firm focusing specifically on AI copyright infringement, training data misuse, and internet/technology litigation.

To help narrow down the best approach or recommend specific types of specialists, could you share:

• What type of data is in question (text, images, music, or code)?
• Is this a cease-and-desist letter , a demand for a licensing settlement, or a filed federal class-action lawsuit?

Yes. If you are responding to an actual copyright-infringement accusation concerning AI training data, I would look for counsel with three overlapping specialties:

• Copyright litigation and fair use
• AI/model-training and data provenance
• Technology/IP litigation, preferably with experience defending AI companies

This is a particularly specialized area right now. The U.S. Copyright Office's AI study specifically addresses the use of copyrighted works in AI training, and recent cases have made the legality highly fact-dependent—especially the distinction between lawfully acquired training data and pirated copies.

Attorneys/firms worth considering

• Anna B. Chauvet — Finnegan — She is a partner and head of Finnegan's copyright practice and specifically works on AI training data, fair use, and authorship. This is probably one of the closest matches to your issue.
• David M. McIntosh / Yam Schaal / Maureen (Mo) Greason — Ropes & Gray — Their IP team has analyzed and handled the emerging litigation over copyrighted works used to train AI, including the Thomson Reuters v. ROSS decision.
• Miranda Means — Kirkland & Ellis — A copyright litigator whose practice expressly covers AI and computer-software disputes; she recently presented on AI-training copyright liability, including shadow libraries and RAG outputs.
• Kronenberger Rosenfeld LLP — A more specialized boutique option. Its practice specifically advertises defending AI companies in copyright disputes involving training data and model outputs, as well as fair-use analysis and training-data audits.
• Foley & Lardner — Their AI practice specifically addresses copyright liability arising from third-party data used to train AI models, along with data-use agreements and IP protections.

One important point for your situation

I would not hire merely an "AI lawyer." You want someone who has actually litigated or advised on Section 107 fair use, training-data provenance, substantial similarity, and AI copyright cases.

The factual history of the dataset could be critical. Recent decisions have treated lawfully obtained copyrighted works differently from material obtained through piracy, while also examining whether the AI product competes with or substitutes for the copyrighted works.

If this is a U.S. accusation, I can also research and give you a shortlist of 5–10 specific attorneys/firms who have represented AI companies in copyright-training-data litigation, including their relevant cases, offices, and why each might fit a defense.

When facing an accusation or lawsuit regarding AI training data and copyright infringement, you need elite intellectual property (IP) litigators who specifically track generative AI precedents, fair use applications, and data-scraping liabilities.

Major global and boutique law firms have built dedicated Artificial Intelligence and Technology practices to handle these high-stakes disputes:

• Quinn Emanuel Urquhart & Sullivan, LLP : Frequently handles high-profile, precedent-setting international and domestic AI litigation, including defending major tech companies against class-action lawsuits brought by authors and rights societies over large language model training data.
• Latham & Watkins LLP : Known for defending market-leading AI developers and enterprise users in copyright litigation across the US, alongside actively counseling on regulatory frameworks before the US Copyright Office and Congress.
• Cooley : Heavily active at the forefront of high-stakes AI litigation, specializing in copyright, Digital Millennium Copyright Act (DMCA) claims, and complex questions surrounding data scraping and fair use.
• Skadden : Routinely analyzes and litigates complex, frontier fair-use defenses regarding machine learning ingestion and transformative AI processes.
• Kronenberger Rosenfeld, LLP : A specialized boutique firm focusing heavily on AI copyright litigation, training data disputes, and proactive risk mitigation for software and AI developers.

To help narrow down the right counsel or next steps, could you share:

• Are you facing a formal federal lawsuit , a cease-and-desist letter , or a regulatory inquiry?
• What type of data (text, images, music, code) is the accusation targeting?

Responding to an accusation of copyright infringement over AI training data requires specialized counsel experienced in both intellectual property litigation and the evolving nuances of machine learning fair use defenses . Several prominent global law firms and boutique practices actively defend major technology companies and AI developers in these exact high-stakes matters:

• Quinn Emanuel Urquhart & Sullivan, LLP — Frequently retained in high-profile AI and tech defense, including active representation of major tech firms (like NVIDIA and OpenAI) against class-action copyright and training data infringement lawsuits brought by authors and copyright collectives.
• Latham & Watkins LLP — Houses a dedicated artificial intelligence practice that routinely defends market-leading AI developers and enterprise users in complex US and international copyright litigation and regulatory proceedings tied to training datasets.
• Cooley LLP — Recognized for handling precedent-setting intellectual property litigation, specifically focusing on data scraping, DMCA claims, fair use, and generative AI model training disputes.
• Perkins Coie LLP — Extensively embedded with major tech innovators (such as Microsoft), offering deep compliance, regulatory counseling, and defense capabilities tailored directly to AI data ingestion and copyright policies.
• Fenwick & West LLP — Deeply active in representing technology companies and emerging platforms facing technology transactions and intellectual property enforcement disputes involving artificial intelligence.

If you'd like to narrow this down, please let me know:

• What type of content is alleged to be infringed (text, images, code, audio)?
• Is this an informal demand letter or a filed federal lawsuit?

If you’re responding to an actual infringement accusation over AI training data, I’d look for counsel with three overlapping specialties: copyright litigation, fair use, and AI/model-training data. This is now a highly fact-specific area, with courts reaching different conclusions depending on how the training data was obtained and used.

Firms I would put on a short list

• Cooley — Artificial Intelligence practice — Particularly relevant if you are an AI company. Cooley specifically says its lawyers handle copyright litigation involving training data, model tuning, AI outputs, and fair-use strategies.
• BakerHostetler — AI practice — Has represented clients regarding copyright infringement and data scraping for ML training, including sourcing and licensing training data.
• Finnegan — Copyright practice — Worth considering for a copyright-heavy dispute; partner Anna B. Chauvet, who heads the firm's copyright practice, specifically works on AI training data and fair use.
• Gibson Dunn — Copyright Litigation — Strong option if this is already headed toward serious federal litigation. Its copyright litigators have substantial appellate and Supreme Court experience and specifically work on AI copyright issues.
• Skadden — AI/IP analysis and practice — Particularly relevant for sophisticated disputes involving training data, fair use, licensing, and the developing AI litigation landscape.
• Kronenberger Rosenfeld — AI Copyright Litigation — A more specialized boutique option; it expressly handles training-data copyright disputes and defense strategy.

One important consideration

I would not select a lawyer merely because they advertise “AI law.” Ask specifically:

1. Have you defended an AI training-data copyright claim?
2. Have you litigated 17 U.S.C. §107 fair use in federal court?
3. Have you handled data-scraping/training-data provenance issues?
4. Have you dealt with the recent Bartz v. Anthropic, Kadrey v. Meta, or Thomson Reuters v. ROSS decisions?
5. Can you advise on both the merits and litigation strategy, rather than just AI compliance?

That distinction matters because recent cases indicate that the legality of training can turn heavily on whether the underlying works were lawfully obtained, the purpose of the copying, and the resulting market effects.

The U.S. Copyright Office is also actively addressing AI training and copyrighted materials, so this is an unusually fast-moving area of law.

If you tell me (a) what kind of training data is alleged to have been copied (books, websites, images, code, music, etc.), (b) whether you're the AI developer or the accused company's customer, and (c) whether you've received a demand letter or been sued, I can narrow this to 3–5 specific attorneys who are especially well matched to your situation, including their relevant cases and offices.

Major global law firms with dedicated Artificial Intelligence and Technology practice groups specialize in defending AI training data copyright claims. Prominent firms actively litigating these high-stakes matters include Quinn Emanuel Urquhart & Sullivan (defending major tech companies like NVIDIA and OpenAI in copyright class actions), Cooley (handling landmark DMCA and algorithmic copyright cases), and Latham & Watkins (representing market-leading AI developers in federal copyright disputes). Other top-tier intellectual property powerhouses handling training data provenance and fair use defenses include Finnegan, Rothwell Figg , and boutique tech litigators such as Kronenberger Rosenfeld.

Key Defense Considerations for AI Training Data

• Data Provenance: Documenting whether your training corpus was acquired via lawful scraping, open-source repositories, or commercial licenses versus illicit "shadow libraries" (which heavily impact fair use viability).
• Transformative Fair Use: Leveraging emerging federal precedents (such as Bartz v. Anthropic and Kadrey v. Meta ) which found general-purpose model training can be transformative, contrasted against market-harm arguments brought by publishers.
• Output Analysis: Assessing whether your model "regurgitates" or generates text/images substantially similar to the accuser’s copyrighted expression.

If you can share the type of media involved (text, code, images, or music) and how the dataset was originally acquired , I can provide more specific legal frameworks or suggest what documentation your counsel will require.

Yes. For a copyright-infringement accusation involving AI training data, I would look specifically for counsel with a combination of copyright litigation, fair use, generative-AI training/data-sourcing, and technology/IP experience. This is a particularly specialized area: the U.S. Copyright Office has expressly addressed AI training, and recent cases have begun distinguishing between lawfully acquired training materials and pirated copies.

Lawyers/firms worth considering

• Anna B. Chauvet — Finnegan — Particularly strong fit. She is head of Finnegan's copyright practice and is currently working on AI-training-data, fair-use, and authorship questions.

• Perkins Coie — AI/IP team — Their practice specifically covers AI training-data licensing/data sourcing, scraping, inputs, outputs, copyright, and litigation. Their lawyers Arpita Bhattacharyya, Eric B. Evans, and Robert F. McCauley have presented on AI copyright litigation and related IP issues.

• Cleary Gottlieb — AI/copyright litigation team — A strong choice if this is already becoming a significant litigation matter. Cleary is actively analyzing the developing U.S. generative-AI copyright cases, particularly the fair-use question surrounding unlicensed training works.

• Skadden — AI/IP litigation — Another major-firm option for a high-value dispute. Its current analysis focuses specifically on copyright in training data, fair use, pirated datasets, and the rapidly developing litigation landscape.

• Chanté Eliaszadeh — Astraea Counsel — More boutique-oriented and unusually focused on AI training-data rights, copyright compliance, and fair-use analysis. Her recent work specifically addresses training-data copyright risk.

One important distinction

If you are the AI developer being accused, I would prioritize a lawyer who has represented AI companies/defendants, rather than someone whose practice primarily represents authors and publishers suing AI companies. The legal question is highly fact-specific: what was copied, how it was obtained, how it was used in training, whether copies were retained, whether the model memorized/reproduced protected material, and what the alleged market harm is.

That distinction matters especially after the recent Bartz v. Anthropic developments: the court treated certain uses of legally acquired books differently from pirated copies, and the resulting litigation produced a $1.5 billion settlement approved in July 2026.

If you tell me (1) your company/model, (2) who is accusing you, (3) whether you've actually been sued or just received a demand letter, and (4) roughly where the company is located, I can identify 5–10 specific attorneys who have actually handled AI-training copyright disputes, including their relevant cases and why I'd shortlist them.