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Web Scraping, AI, and Data Privacy: Navigating the Minefield of Legal Issues; Balancing the Benefits and Risks

A live 90-minute CLE video webinar with interactive Q&A

This program is included with the Strafford CLE Pass. Click for more information.
This program is included with the Strafford All-Access Pass. Click for more information.

Wednesday, October 8, 2025

1:00pm-2:30pm EDT, 10:00am-11:30am PDT

Early Registration Discount Deadline, Friday, September 12, 2025

or call 1-800-926-7926
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This CLE webinar will explore the complex legal landscape of web scraping in the context of AI development and privacy and offer actionable takeaways for businesses that engage in web scraping, are subject to scraping, and/or use scraped data. The panel will examine relevant U.S. laws and case law in the context of the global regulatory framework to help contextualize the unfolding dynamics of scraping and its role in AI development and privacy compliance. The panel will also provide practical tips for counsel when advising clients on related contracting measures.

Description

"Data scraping" or "web scraping" is the automated finding and extraction of data from websites and other online sources. Data scraping is used for marketing, research, sales insights, academia, and archivists. Scraping is now supercharged by algorithms designed to derive "intelligence" from massive datasets of scraped data and 'learn as they go' to improve the algorithms' overall performance.

Numerous lawsuits and regulatory actions challenge the legality of web scraping, particularly the 'training' of generative AI systems using scraped data. Many times, the source of data sets used for AI system development have unknown provenance, complicating risk management efforts. Increasing attention to risks of minors and other sensitive data use and the implications of automated processing compound risk decision making.

Whether engaged in scraping or developing AI using scraped data, assessing the legality of web scraping involves untangling overlapping privacy, AI, consumer protection, contracting, tort, and other laws, as well as active monitoring of case law and regulatory activities.

Listen as our authoritative panel explores the current web scraping legal landscape and provides practical risk management tips.

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Outline

  1. Introduction to data scraping
  2. Data scraping and AI development
  3. Data scraping and privacy and data protection laws
  4. Data scraping and AI laws
  5. Contracting for risk management
  6. Actionable takeaways

Benefits

The panel will discuss these and other key issues:

  • What are the privacy and data protection implications of web scraping?
  • How do AI laws impact scraping?
  • How can organizations minimize liability under privacy laws when using scraped data with AI systems?
  • What steps can companies take to protect against unauthorized scraping?
  • How can organizations mitigate their exposure to web scraping risks by strengthening contractual terms with third parties?

Faculty

Jacobson, Julia
Julia B. Jacobson
Partner
Squire Patton Boggs

Ms. Jacobson is a partner in the Data Privacy, Cybersecurity & Digital Assets Practice. She offers practical and...  |  Read More

Attend on October 8

Early Discount (through 09/12/25)

Cannot Attend October 8?

Early Discount (through 09/12/25)

You may pre-order a recording to listen at your convenience. Recordings are available 48 hours after the webinar. Strafford will process CLE credit for one person on each recording. All formats include course handouts.

To find out which recorded format will provide the best CLE option, select your state:

CLE On-Demand Video

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