Nev. 2d Jud. DCR 32

Rule 32 . Review of master’s decision within the family division.

Last amended: 2020Year: 2026Length: 304 wordsOfficial source
1. Unless otherwise ordered by the court, all proceedings before the master shall be reported by court reporter or recorded by audio tape or other means. (a) When an objection or motion to adopt or modify a master’s recommendation is filed, the court shall have the discretion to determine the manner in which the master’s recommendation will be reviewed. (b) A hearing on an objection or motion to adopt or modify a master’s recommendation shall be in the form of a review of the record with oral argument, unless otherwise expressly ordered by the court. In extraordinary circumstances the court may grant a de novo trial. (c) In all cases except juvenile matters, if a party objects or motions to adopt or modify the master’s recommendation, in whole or in part, the objection or motion to adopt or modify shall be filed within 14 days after service of written findings of fact and recommendation. (d) In juvenile matters, objection or motions to adopt or modify the master’s recommendation shall be filed within 7 days after service of written findings of fact and recommendation. (e) The objection or motion to adopt or modify shall briefly state the primary issues for review. (f) Upon request of a party or upon the court’s initiative, the judge may enforce the provisions of the master’s recommendation pending determination on review. 2. A review hearing must be held within 30 days after the date the objection or motion to adopt or modify is filed, unless otherwise ordered by the court. 3. The presiding judge shall assign one or more judges to preside over the review of objections or motions to adopt or modify master’s recommendations in specific subject areas. Review of objections or motions to adopt or modify master’s recommendations shall be heard by the judge assigned to the case.
Nev. 2d Jud. DCR 32: Rule 32 . Review of master’s decision within the family division. | Justis AI