Preparing Criminal Waivers of Inadmissibility

Aug. 10, 2022 | 2-3:30 p.m. ET | CA MCLE: 1.5 

U.S. immigration law provides for waivers of inadmissibility for certain types of criminal convictions. However, the law regarding who qualifies for such waivers is complex and the preparation of such cases can be challenging. This webinar will specifically focus on waivers available under sections 212(h) and 209(c) of the Immigration and Nationality Act. Presenters will discuss the eligibility requirements, when an aggravated felony conviction bars a 212(h) waiver, how to establish eligibility for a marijuana waiver under section 212(h), and the heightened standard under both 212(h) and 209(c) for those convicted of “violent or dangerous” crimes. The session will also cover strategies and practical tips on preparing compelling waiver applications.     

The webinar recording will not be provided so be sure to join us live.

NOTE: This webinar takes place in Eastern Time. Certificates of attendance are only issued if you attend live webinars. 
 

Additional Information

CLE for Attorney Participants

CLINIC is authorized by the State Bar of California to provide minimum continuing legal education (MCLE) training. If you are a California attorney, you are eligible to claim 1.5 hours of MCLE credits for each live webinar you attend in our e-learning immigration law courses. To receive MCLE credit, please provide your state bar number when you register for each live webinar. If you are an attorney licensed in another state, please check with your state bar to determine whether this training qualifies for MCLE credit.

 

Type of Training

Webinar

Date of Event

Time of Event

02:00 pm ~ 03:30 pm

Registration Deadline

Training Prices

CLINIC Affiliates (Webinars) - $35
Nonprofit Agency Staff (Webinars) - $90
Private Attorneys and Staff (Webinars) - $145

Eligible Grant(s) Discount

ActionNYC
CDSS

Payment and Cancellation

Payment by credit card only. There are no refunds for registration for a single webinar or for a webinar series.