Calbi v. General Motors Corp.
Opinion of the Court
—Order, Supreme Court, Bronx County (Howard R. Silver, J.), entered February 8, 1993, which limited plaintiffs’ discovery demands to those portions of the subject vehicle claimed to be defective and to the year of the vehicle’s manufacture, unanimously modified, on the law and the facts and in the exercise of discretion, to strike items 3, 6 and 8 from the notice of discovery and inspection dated September 17, 1992, without prejudice to re-service thereof following plaintiffs’ submission to oral deposition, said interrogatories to be thereupon further limited to the defects asserted by plaintiffs at such deposition, and as so modified, affirmed, without costs.
The motion court properly limited the scope of the interrogatories to the year, make and model of the subject vehicle (Bertocci v Fiat Motors, 76 AD2d 779). But because this accident occurred almost ten years ago, and plaintiffs have yet to particularize the alleged mechanical defect(s) of the vehicle rented from defendant Hertz and manufactured by defendant General Motors ("GM”), other than an allegation in the complaint that "the mechanism, equipment and parts of the said motor vehicle did fail,” defendants are entitled to this long-delayed relief before being compelled to comply with onerous demands for the further production of a wide range of unspecified documents (see, Rios v Donovan, 21 AD2d 409; cf, Kadan v Volkswagen of Am., 129 AD2d 948).
Certainly, GM cannot be taxed for "spoliation of evidence” simply by reason of the fact that co-defendant Hertz disposed of the vehicle by sale two months after the accident and about eight months before this action was commenced in September 1986. GM has been as adversely affected by this circumstance as plaintiffs in the investigation of the proximate cause of the accident.
The IAS Court did not abuse its discretion in excusing GM’s noncompliance with the time limits of CPLR 3122 (see, e.g.,
Case-law data current through December 31, 2025. Source: CourtListener bulk data.