U.S. Court of Appeals for the Federal Circuit, 2024

Applied Predictive Technologies, Inc. v. Marketdial, Inc.

Applied Predictive Technologies, Inc. v. Marketdial, Inc.
U.S. Court of Appeals for the Federal Circuit · Decided October 23, 2024
Applied Predictive Technologies, Inc. v. Marketdial, Inc.

Opinion

Case: 24-1751 Document: 34 Page: 1 Filed: 10/23/2024

NOTE: This order is nonprecedential.

United States Court of Appeals for the Federal Circuit

______________________

APPLIED PREDICTIVE TECHNOLOGIES, INC.,

Plaintiff-Appellant v.

MARKETDIAL, INC., JOHN M. STODDARD, aka

Johnny Stoddard, MORGAN DAVIS,

Defendants-Appellees ______________________

2024-1751 ______________________

Appeal from the United States District Court for the District of Utah in No. 2:19-cv-00496-JNP, Judge Jill N. Parrish.

------------------------------------------------- APPLIED PREDICTIVE TECHNOLOGIES, INC.,

Plaintiff-Appellee v.

MARKETDIAL, INC., JOHN M. STODDARD, aka

Johnny Stoddard, MORGAN DAVIS,

Defendants-Appellants ______________________

2024-1805 ______________________

Case: 24-1751 Document: 34 Page: 2 Filed: 10/23/2024 2 APPLIED PREDICTIVE TECHNOLOGIES, INC. v. MARKETDIAL, INC.

Appeal from the United States District Court for the District of Utah in No. 2:19-cv-00496-JNP, Judge Jill N. Parrish.

______________________ ON MOTION ______________________ ORDER

Upon consideration of the parties’ joint stipulation of voluntary dismissal of Appeal No. 2024-1805, pursuant to Federal Rule of Appellate Procedure 42(b), ECF No. 33,

IT IS ORDERED THAT: (1) The official captions are revised as reflected in this order, and Appeal No. 2024-1805 is voluntarily dismissed.

(2) Each side shall bear its own costs as to Appeal No. 2024-1805.

(3) The Clerk of Court shall transmit a copy of this or- der to the merits panel assigned to this case.

FOR THE COURT October 23, 2024

Date ISSUED AS A MANDATE (as to Appeal No. 2024-1805 only): October 23, 2024

Case-law data current through September 30, 2026. Source: CourtListener bulk data.