Dealing with leave laws and compliance is confusing at best; dealing with multiple leave laws at once is that much more difficult. Adding to the complexity are new decisions from the case and federal regulations that mandate employers to consider multiple types of leave or accommodation when an employee requests accommodation. This program will separate the laws, discuss the necessities of each and then, in a simple, accessible way, provide a toolbox of practical tools to enable human resources to sort out how each law works with every other relevant leave law.
WHY SHOULD YOU ATTEND?
Maintaining compliance with the leave laws is extremely complicated in this day and age; maintaining compliance with multiple laws at once is exponentially more difficult. Any who is fairly new to human resources should attend this program to learn all about how these laws can be dealt with effectively and correctly.
AREA COVERED
We will cover the following:
- FMLA
- ADA
- USERRA
- Workers Compensation
- Unemployment Compensation
- HIPAA
- Relevant caselaw on these laws
LEARNING OBJECTIVES
This program will discuss each of the health-related leave laws:
This program will also cross reference and explain the relationships between each of these laws and how they interact with each other so that compliance is maintained.
WHO WILL BENEFIT?
- Human Resources
Maintaining compliance with the leave laws is extremely complicated in this day and age; maintaining compliance with multiple laws at once is exponentially more difficult. Any who is fairly new to human resources should attend this program to learn all about how these laws can be dealt with effectively and correctly.
We will cover the following:
- FMLA
- ADA
- USERRA
- Workers Compensation
- Unemployment Compensation
- HIPAA
- Relevant caselaw on these laws
This program will discuss each of the health-related leave laws:
This program will also cross reference and explain the relationships between each of these laws and how they interact with each other so that compliance is maintained.
- Human Resources
Speaker Profile

Deirdre Kamber Todd, Esq., is a partner with The Kamber Law Group, P.C., a next-generation law firm located in Allentown, Pennsylvania. With fifteen years of experience, Deirdre focuses her practice on labor and employment law, social media and technology law, HIPAA, and business law. Specific areas of her employment law practice include discrimination, wage and hour, restrictive covenants, business contracts, unemployment compensation, LGBT issues, labor disputes, FMLA, military leave, social media litigation, information privacy and technology, agency compliance, and medical record privacy. Her clients include companies, non-profits, governmental entities, and individuals. Her work includes consultative and legal services, from outsourced HR …
Upcoming Webinars


50+ new Excel features so far this decade

Mindful Communication:The Key to Meaningful Conversations i…

FMLA Compliance in 2025: A Comprehensive Guide & Strategies…


Excel - 10 Key Worksheet Functions to Skyrocket Your Produc…

Managing Toxic Employees: Strategies For Leaders To Effecti…

Hiring and Retaining Employees in this Crazy Economy

Harassment, Bullying, Gossip, Confrontational and Disruptiv…

Project Management for administrative professionals


Excel Power Skills: Master Functions, Formulas, and Macros …

Outlook - Master your Mailbox - Inbox Hero Inbox Zero


Copilot and HR: An Introduction for HR Professionals


California Meal and Rest Breaks: What You Don't Know Can Co…

Bootcamp for New Managers and Supervisors: Develop These Es…

Policy Pops: Navigating DEI in the 2025 Workplace: Strategi…

Emotional Intelligence: Mastering the Emotions of Great Lea…


How To Conduct An Internal Harassment And Bullying Investig…

How to Manage the Legal Landmine of the FMLA, ADA and Worke…

The Importance of the first 5 seconds when presenting

Managing Difficult Employee Conversations

Female to Female Hostility @Workplace: All you Need to Know

How to Write Effective Audit Observations: The Principles f…


FDA Proposes Framework to Advance Credibility of AI Models