Daniel Woislaw

Attorney DC

Daniel Woislaw joined Pacific Legal Foundation in the spring of 2019. A passionate advocate for individual liberty, he focuses his litigation on property rights, economic liberty, and regulatory overreach. He was inspired as a student by the works of free-market economists and classical liberal political philosophers such as F.A. Hayek and Frédéric Bastiat.

As a former public defender, Daniel gained a great deal of experience arguing constitutional questions surrounding Fourth, Fifth, and Sixth Amendment rights in trial courts in southern Virginia. Before that, he worked as a legal aid attorney under a grant from the Department of Justice to represent elderly victims of crime and abuse.

His initial interest in pursuing a career litigating for a free society developed while studying at The Antonin Scalia Law School at George Mason University, from which he graduated magna cum laude in the spring of 2016. During his tenure, he was the senior research editor of George Mason’s Civil Rights Law Journal, served on the school’s moot court board, and spent one summer as a Charles Koch Fellow. He has published scholarly articles on the topics of unreasonable searches and sovereign immunity, with more in progress.

When he is not fighting for liberty in the courts, Daniel enjoys haranguing his friends into playing long, complicated strategy board games or whipping up something fabulous in his kitchen with one or more of the many contraptions he has accumulated over the years. He resides in northern Virginia with his wife, Julia, and two small, spoiled dogs named Peaches and Peanut.

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July 31, 2019

DailyJournal: Facial recognition ban shows legislation can protect privacy, too

Last month, the San Francisco City Council voted to prohibit city agencies from using facial recognition software on municipal cameras. City officials raised reasonable questions about how the technology would be used, as well as the potential effects on civil liberties. San Francisco is the first major city to ban the use of facial ID ...

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