Thomas v. Donitz
Opinion of the Court
This is an application to invalidate a designating petition for various public and party positions of the Democratic party in the primary election in and for the 16th Assembly District and the 15th Senatorial District, Kings County, to be held on June 2, 1964; the principal contention urged by the applicants being that fraud permeates the petition. The evidence offered upon the trial fails to establish any fraud in said designating petition whatsoever.
In the light of this finding the respondents’ motion to dismiss the proceeding, based on the claim of res judicata has become moot. That motion is, therefore, denied as academic. Nor is it necessary to pass on the legal sufficiency of the objections and specifications filed relative to the claim of fraud.
During the course of these proceedings, four of the respondents designated in the petition as nominees for the office of delegates to the Judicial Convention, appeared by an attorney other than the attorney for the respondents, who informed the court that they wished to withdraw as candidates and that they consented to the invalidation of their designations as such candidates, based upon the claim of fraud.
In any event there could be little question that in representing the remaining designees in the petition, counsel for the respondents was not only entitled to oppose and demonstrate the absence of fraud in the petition in behalf of the remaining designees, but he was equally entitled to oppose all claims and to establish the absence of fraud even as to the four designees who desired to withdraw. It having been established that fraud does not in fact permeate the designating petition, and a declination or withdrawal being contra to the Election Law (supra) the request for such withdrawal is denied.
The application by the petitioners to invalidate the petition is in all respects denied and the cross application to validate the same is in all respects granted,
Case-law data current through December 31, 2025. Source: CourtListener bulk data.