Prosecution Insights
Last updated: May 29, 2026

Dority & Manning, P.A. And Uber Technologies, Inc.

6 pending office actions • 1 client • 6 examiners • 4 art units • 0 of 6 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days

Portfolio Summary

6
Total Pending OAs
4
Non-Final OAs
2
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 6 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

3
Overdue
0
Due this week
1
Due this month
0
Due in next 60 days
2
Due later

Deadline Fire Line

Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 6 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (3)Due ≤ 30 days (1)Due later (2)

Case Difficulty Mix

Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.

1
Hard (17%)
5
Medium (83%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (17%)
§103 only3 (50%)
§102 only1 (17%)
Double-patenting + other1 (17%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
2
Information Tech
33% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
4
Mechanical / Eng
67% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.

60 h
Manual time on pending OAs
12 h
Time saved (low, 20%)
21 h
Time saved (mid, 35%)
0.5 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
SEIBERT, CHRISTOPHER B 1 56.8% +43.9%
PRESTON, ASHLEY DAWN 1 42.7% +28.5%
SHARPLESS, SAMUEL 1 79.5% +29.7%
HO, ANDY 1 91.5% +7.6%
AIRAPETIAN, MILA 1 72.9% +14.7%
THEIN, MARIA TERESA T 1 28.1% +30.7%

Quick Wins (1)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.

App #TitleExaminerDue in
18480961 Using Hash Based Mechanism to Discover Caller Path in a Micro-Service Graph HO, ANDY 3d overdue

Hard Cases (2)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
18478268 Merchant Selection Model for Dynamic Management of Add-Ons for Delivery Service Orders AIRAPETIAN, MILA 127d overdue
18295012 Real-Time Item Selection Model for Shopper THEIN, MARIA TERESA T 24d overdue

Interview Candidates (5)

Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 5 ordered by deadline are shown.

App #TitleExaminerDue in
18478268 Merchant Selection Model for Dynamic Management of Add-Ons for Delivery Service Orders AIRAPETIAN, MILA 127d overdue
18295012 Real-Time Item Selection Model for Shopper THEIN, MARIA TERESA T 24d overdue
18598874 Systems and Methods for Query Cancellation SHARPLESS, SAMUEL 9d
18905958 MULTI-LAYER OPTIMIZATION FOR A MULTI-SIDED NETWORK SERVICE SEIBERT, CHRISTOPHER B 70d
18651077 Dynamic Data Object Distribution Based on Historical Performance PRESTON, ASHLEY DAWN 83d

Client Portfolio (1 client)

Client (Assignee)Pending OAs
Uber Technologies, Inc. 6

Top Art Units

Art UnitApps
36883
21651
21941
36891

Pending Office Actions

App #TitleClientExaminerArt UnitStatutesStatusDue inAIFiled
18905958 MULTI-LAYER OPTIMIZATION FOR A MULTI-SIDED NETWORK SERVICE Uber Technologies, Inc. SEIBERT, CHRISTOPHER B 3688 DPOther Non-Final OA 70d Pending Oct 03, 2024
18651077 Dynamic Data Object Distribution Based on Historical Performance Uber Technologies, Inc. PRESTON, ASHLEY DAWN 3688 §103 Non-Final OA 83d Pending Apr 30, 2024
18598874 Systems and Methods for Query Cancellation Uber Technologies, Inc. SHARPLESS, SAMUEL 2165 §103 Non-Final OA 9d Pending Mar 07, 2024
18480961 Using Hash Based Mechanism to Discover Caller Path in a Micro-Service Graph Uber Technologies, Inc. HO, ANDY 2194 §102 Non-Final OA 3d overdue Pending Oct 04, 2023
18478268 Merchant Selection Model for Dynamic Management of Add-Ons for Delivery Service Orders Uber Technologies, Inc. AIRAPETIAN, MILA 3688 §101 Final Rejection 127d overdue Pending Sep 29, 2023
18295012 Real-Time Item Selection Model for Shopper Uber Technologies, Inc. THEIN, MARIA TERESA T 3689 §103 Final Rejection 24d overdue Pending Apr 03, 2023

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