Harper Litigation Consulting and Research : 214-244-4608

Does Your Case Involve Commercial Reasonableness?

With 30+ years of Fortune 500 experience, we are experts at assessing commercial reasonableness

Ms. Harper's 30+ years as a Fortune 100 senior executive makes the difference in determining commercial reasonableness. If your case involves determining whether your client or the opposition operated using commercial reasonableness in business strategy, marketing, advertising, and more, contact Ms. Harper who is routinely retained to opine in these types of cases.

Ms. Harper can opine on the following:

  • Did the company perform in the usual manner in the market?
  • Did the company conform to reasonable practices?
  • Did the company act in good faith and fair dealing?

Some examples of cases that have relied on Ms. Harper's commercial reasonableness expertise and experience include:

  • The launch of a international brand through a U.S. retailer
  • The expansion of a retailer into multiple territories
  • The integration of a brand into a corporate portfolio

Rhonda Harper, Expert Witness

Rhonda HarperRetained by 100+ law firms since 2005, Ms. Harper is courtroom proven. She has been engaged to provide 65+ surveys, 80+ reports, 30+ rebuttals, 45+ depositions, and serve in 20+ trials. She has provided services to both Plaintiffs (60%) and Defendants (40%) across trademark and trade dress, packaging, merchandising, defamation, licensing, breach of contract, advertising, and commercial reasonableness. She has provided services in virtually every Circuit as well as JAMS and TTAB.

Ms. Harper's 30+ year career includes serving as a Fortune 100 Chief Marketing Officer. Having authored two books, she is a former Adjunct MBA Marketing Professor.

Ms. Harper is routinely retained to formulate expert surveys, conduct rebuttal critiques, or construct rebuttal surveys to show the potential difference in results with properly designed and executed surveys. She has extensive experience and a deep understanding of survey design, sampling, question construction, data analysis, and methodological pitfalls that introduce bias or systematic error.

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