Copyright vs. Terms of Service: Two Different Fights

Violating a website's Terms of Service and violating copyright are different legal problems. Understanding the distinction is critical for data work. Fair use in training The argument AI companies make is that training is transformative fair use.

28 min · Reviewed 2026

Two Totally Different Legal Worlds

You scrape a website that says no scraping in its ToS. Have you broken the law? The honest answer is: probably not, but it depends. Have you also violated copyright? That is a completely separate question with its own answer.

Terms of service: contract law

Terms of Service are contracts. If you violate them, the platform can sue you for breach of contract. But the damages are usually small unless the platform can show real financial harm. In HiQ Labs v. LinkedIn (2022), the US Ninth Circuit held that scraping public LinkedIn profiles did not violate the Computer Fraud and Abuse Act, even though it broke LinkedIn's ToS.

Copyright: statutory law

Copyright is a federal statute in the US (Title 17). Infringement can mean statutory damages up to $150,000 per work. When OpenAI or Meta train on copyrighted books or articles, they are either relying on fair use or accepting litigation risk. No amount of ToS consent can fix a copyright violation if you never had the right to train in the first place.

Aspect	ToS violation	Copyright infringement
Law type	Contract	Federal statute
Who sues	Platform	Copyright holder
Damages	Usually modest	Up to $150k per work
Criminal?	No	Yes, in extreme cases
Geography	Where contract applies	Where work is protected

The CFAA wrinkle

Fair use in training

The argument AI companies make is that training is transformative fair use. The model learns patterns, not verbatim text. Critics reply that models can regurgitate training data verbatim, undermining the transformative argument. Current lawsuits (NYT v. OpenAI, Bartz v. Anthropic, Authors Guild v. Meta) will clarify this over the next few years.

The big idea: ToS and copyright are separate legal risks. A dataset can be ToS-clean and copyright-dirty, or vice versa. Serious practitioners check both, not just one.

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-data-copyright-vs-tos

What is the core idea behind "Copyright vs. Terms of Service: Two Different Fights"?
1. Violating a website's Terms of Service and violating copyright are different legal problems. Understanding the distinction is critical for data work. Fair use in training The argument AI companies make is that training is transformative fair use.
2. Report inter-annotator agreement
3. Push notebook to GitHub or Kaggle
4. Creating a dataset from scratch teaches you more than using someone else's.
Which term best describes a foundational idea in "Copyright vs. Terms of Service: Two Different Fights"?
1. copyright
2. terms of service
3. CFAA
4. fair use
A learner studying Copyright vs. Terms of Service: Two Different Fights would need to understand which concept?
1. terms of service
2. CFAA
3. copyright
4. fair use
Which of these is directly relevant to Copyright vs. Terms of Service: Two Different Fights?
1. terms of service
2. copyright
3. fair use
4. CFAA
What is the key insight about "Breaking through a login wall" in the context of Copyright vs. Terms of Service: Two Different Fights?
1. If you scrape a site you can only access by logging in, and you violate its ToS, the US Computer Fraud and Abuse Act (CF…
2. Report inter-annotator agreement
3. Push notebook to GitHub or Kaggle
4. Creating a dataset from scratch teaches you more than using someone else's.
What is the key insight about "A safer middle ground" in the context of Copyright vs. Terms of Service: Two Different Fights?
1. Report inter-annotator agreement
2. Licensed data deals are growing. OpenAI signed deals with News Corp, FT, Reddit, and Shutterstock.
3. Push notebook to GitHub or Kaggle
4. Creating a dataset from scratch teaches you more than using someone else's.
What is the recommended tip about "Ground your practice in fundamentals" in the context of Copyright vs. Terms of Service: Two Different Fights?
1. Report inter-annotator agreement
2. Push notebook to GitHub or Kaggle
3. Every AI capability has an underlying mechanism. Understanding that mechanism tells you where it'll fail — which is more…
4. Creating a dataset from scratch teaches you more than using someone else's.
Which statement accurately describes an aspect of Copyright vs. Terms of Service: Two Different Fights?
1. Report inter-annotator agreement
2. Push notebook to GitHub or Kaggle
3. Creating a dataset from scratch teaches you more than using someone else's.
4. You scrape a website that says no scraping in its ToS. Have you broken the law? The honest answer is: probably not, but it depends.
What does working with Copyright vs. Terms of Service: Two Different Fights typically involve?
1. Terms of Service are contracts. If you violate them, the platform can sue you for breach of contract.
2. Report inter-annotator agreement
3. Push notebook to GitHub or Kaggle
4. Creating a dataset from scratch teaches you more than using someone else's.
Which of the following is true about Copyright vs. Terms of Service: Two Different Fights?
1. Report inter-annotator agreement
2. Copyright is a federal statute in the US (Title 17). Infringement can mean statutory damages up to $150,000 per work.
3. Push notebook to GitHub or Kaggle
4. Creating a dataset from scratch teaches you more than using someone else's.
Which best describes the scope of "Copyright vs. Terms of Service: Two Different Fights"?
1. It is unrelated to foundations workflows
2. It applies only to the opposite beginner tier
3. It focuses on Violating a website's Terms of Service and violating copyright are different legal problems. Underst
4. It was deprecated in 2024 and no longer relevant
Which section heading best belongs in a lesson about Copyright vs. Terms of Service: Two Different Fights?
1. Report inter-annotator agreement
2. Push notebook to GitHub or Kaggle
3. Creating a dataset from scratch teaches you more than using someone else's.
4. Terms of service: contract law
Which section heading best belongs in a lesson about Copyright vs. Terms of Service: Two Different Fights?
1. Copyright: statutory law
2. Report inter-annotator agreement
3. Push notebook to GitHub or Kaggle
4. Creating a dataset from scratch teaches you more than using someone else's.
Which section heading best belongs in a lesson about Copyright vs. Terms of Service: Two Different Fights?
1. Report inter-annotator agreement
2. The CFAA wrinkle
3. Push notebook to GitHub or Kaggle
4. Creating a dataset from scratch teaches you more than using someone else's.
Which section heading best belongs in a lesson about Copyright vs. Terms of Service: Two Different Fights?
1. Report inter-annotator agreement
2. Push notebook to GitHub or Kaggle
3. Fair use in training
4. Creating a dataset from scratch teaches you more than using someone else's.

← Back to interactive lesson

Tendril · Creators · AI Foundations