Account

Sign in to access your account and subscription

Documentation and Other Effective Ways to Avoid Liability for Discrimination

As Title VII of the Civil Rights Act of 1964 (the primary federal discrimination law) celebrates its 40th anniversary, the method of proving a discrimination claim has greatly evolved. Virtually gone are the "smoking gun" statements using the "n-word," advertisements for applicants of a certain sex, or statements that individuals over a certain age aren't qualified to apply for a particular job. Although the world hasn't reached an era of perfection, blatant discriminatory expressions or policies are comparatively infrequent in modern discrimination litigation.

8 minute read August 31, 2004 at 11:02 AM
By
Steven E. Bers
Documentation and Other Effective Ways to Avoid Liability for Discrimination

As Title VII of the Civil Rights Act of 1964 (the primary federal discrimination law) celebrates its 40th anniversary, the method of proving a discrimination claim has greatly evolved.

This premium content is locked for LawJournalNewsletters subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN LawJournalNewsletters

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

AI claims are getting more scrutiny and regulators are looking more closely at whether organizations can substantiate what they say their AI does, while courts are beginning to address what happens when AI-generated search summaries get information wrong.

November 01, 2026

This is the second in a two-part series on AI-driven crises. Part 1 examined communications during an incident while the facts are still developing. Part 2 addresses crisis plans, governance and tabletop exercises before an agent acts on behalf of the business.

November 01, 2026