Course Description

Who would want to do this job for 20 or 30 years? That seems to be the question. But we may be asking the wrong question. Instead, why should we assume that the vast majority of our new recruits will stay beyond 5 or 10 years? And if we grapple with this question, we can look at a more sustainable model for recruiting qualified applicants, knowing that many—or even most—of those officers will not remain in the profession for 20 years or more.

But how would this possibly work? How can we afford to function with this kind of built-in turnover? What would this look like? Fortunately, we have an existing model to which we can look for guidance: the United States Military.

In this two hour webinar, Attorney Matt Dolan will discuss the potential benefits to law enforcement agencies of pivoting to a model more closely resembling the military model with an emphasis of continuous recruiting and acceptable rates of officer turnover.


Director, Dolan Consulting Group

| Attorney Matt Dolan

Matt Dolan is a licensed attorney in the State of Illinois, who specializes in training and advising public safety agencies in matters of labor and employment law. His practice experience focuses on employment discrimination claims brought under federal law, including Title VII of the Civil Rights Act of 1964 ("Title VII"), the Americans with Disabilities Act ("ADA"), and the Age Discrimination in Employment Act ("ADEA"). He received his Bachelor's Degree in Political Science from DePaul University and his J.D. from Loyola University Chicago School of Law.

Matt serves as a public safety instructor with Dolan Consulting Group. He has trained and advised thousands of public safety professionals throughout the United States in matters of legal liability related to personnel management.

Course curriculum

  • 1

    Before You Start

    • Consent Questions

  • 2


    • The Military Model for Recruiting and Retention in Law Enforcement | Hour 1

    • The Military Model for Recruiting and Retention in Law Enforcement | Hour 2