History
  • No items yet
midpage
People v. Tuitt
2017 NY Slip Op 5507
| N.Y. App. Div. | 2017
|
Check Treatment
People v Tuitt (2017 NY Slip Op 05507)
People v Tuitt
2017 NY Slip Op 05507
Decided on July 6, 2017
Appellate Division, First Department
Published by New York State Law Reporting Bureau pursuant to Judiciary Law § 431.
This opinion is uncorrected and subject to revision before publication in the Official Reports.


Decided on July 6, 2017
Tom, J.P., Richter, Manzanet-Daniels, Mazzarelli, Gische, JJ.

4407 556/06

[*1]The People of the State of New York, Respondent,

v

Brian Tuitt, Defendant-Appellant.




Robert S. Dean, Center for Appellate Litigation, New York (Abigail Everett of counsel), for appellant.

Darcel D. Clark, District Attorney, Bronx (Dmitriy Povazhuk of counsel), for respondent.



Order, Supreme Court, Bronx County (John S. Moore, J.), entered on or about March 13, 2015, which adjudicated defendant a level three sexually violent offender pursuant to the Sex Offender Registration Act (Correction Law art 6-C), unanimously affirmed, without costs.

The court properly exercised its discretion in following the Board of Examiners of Sex Offenders' strong recommendation for an upward departure based on the seriousness and extent of defendant's repeated sex crimes against children, which were not adequately accounted for in the risk assessment instrument, and which demonstrated a threat to public safety that outweighed the mitigating factors cited by defendant (see generally People v Gillotti, 23 NY3d 841, 861 [2014]).

THIS CONSTITUTES THE DECISION AND ORDER

OF THE SUPREME COURT, APPELLATE DIVISION, FIRST DEPARTMENT.

ENTERED: JULY 6, 2017

CLERK



Case Details

Case Name: People v. Tuitt
Court Name: Appellate Division of the Supreme Court of the State of New York
Date Published: Jul 6, 2017
Citation: 2017 NY Slip Op 5507
Docket Number: 4407 556/06
Court Abbreviation: N.Y. App. Div.
AI-generated responses must be verified and are not legal advice.
Your Notebook is empty. To add cases, bookmark them from your search, or select Add Cases to extract citations from a PDF or a block of text.