Prosecution Insights
Prosecution Insights
8 pending office actions • 1 client • 8 examiners • 5 art units • 0 of 8 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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. 3 of the docket's apps have a known mailing date.
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.
| Bucket | Cases |
|---|---|
| §101 only | 1 (12%) |
| §101 + other | 5 (62%) |
| §103 only | 1 (12%) |
| Multi-statute (no §101) | 1 (12%) |
How the docket's pending cases split across USPTO tech-center bands.
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.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| BUSCH, CHRISTOPHER CONRAD | 1 | 29.1% | +21.1% |
| DELIGI, VANESSA LIMA | 1 | 56.3% | +38.0% |
| TUNGATE, SCOTT MICHAEL | 1 | 36.3% | +15.9% |
| SEIBERT, CHRISTOPHER B | 1 | 57.1% | +43.2% |
| PRESTON, ASHLEY DAWN | 1 | 43.0% | +26.0% |
| ELFERVIG, TAYLOR A | 1 | 62.8% | +38.1% |
| VUONG, CAO DANG | 1 | 69.3% | +22.5% |
| TC 3600, DOCKET | 1 | 2.2% | -0.8% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18295012 | Real-Time Item Selection Model for Shopper | TC 3600, DOCKET | 24d overdue |
| 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 |
| 19226737 | Systems and Methods for the Display of Corresponding Content for User-Requested Vehicle Services Using Distributed Electronic Devices | BUSCH, CHRISTOPHER CONRAD | — |
| 19217747 | AI Assistant for Delivery | DELIGI, VANESSA LIMA | — |
| 18940228 | REAL-TIME MULTI-ORDER BATCHING USING MULTIPLE COURIERS | TUNGATE, SCOTT MICHAEL | — |
| 18594637 | Systems and Methods for Ephemeral Processing of High Cardinality Data | ELFERVIG, TAYLOR A | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 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 |
| 19226737 | Systems and Methods for the Display of Corresponding Content for User-Requested Vehicle Services Using Distributed Electronic Devices | BUSCH, CHRISTOPHER CONRAD | — |
| 19217747 | AI Assistant for Delivery | DELIGI, VANESSA LIMA | — |
| 18940228 | REAL-TIME MULTI-ORDER BATCHING USING MULTIPLE COURIERS | TUNGATE, SCOTT MICHAEL | — |
| 18594637 | Systems and Methods for Ephemeral Processing of High Cardinality Data | ELFERVIG, TAYLOR A | — |
| 18313731 | Data Compression for Real-Time Analytics | VUONG, CAO DANG | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Uber Technologies, Inc. | 8 |
| Art Unit | Apps |
|---|---|
| 3688 | 2 |
| 3628 | 1 |
| 2445 | 1 |
| 2153 | 1 |
| 3689 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19226737 | Systems and Methods for the Display of Corresponding Content for User-Requested Vehicle Services Using Distributed Electronic Devices | Uber Technologies, Inc. | BUSCH, CHRISTOPHER CONRAD | §101§102§103DP | Non-Final OA | — | Pending | Jun 03, 2025 | |
| 19217747 | AI Assistant for Delivery | Uber Technologies, Inc. | DELIGI, VANESSA LIMA | §101§103 | Non-Final OA | — | Pending | May 23, 2025 | |
| 18940228 | REAL-TIME MULTI-ORDER BATCHING USING MULTIPLE COURIERS | Uber Technologies, Inc. | TUNGATE, SCOTT MICHAEL | 3628 | §101 | Final Rejection | — | Pending | Nov 07, 2024 |
| 18905958 | MULTI-LAYER OPTIMIZATION FOR A MULTI-SIDED NETWORK SERVICE | Uber Technologies, Inc. | SEIBERT, CHRISTOPHER B | 3688 | §101§102DPOther | Non-Final OA | 70d | Pending | Oct 03, 2024 |
| 18651077 | Dynamic Data Object Distribution Based on Historical Performance | Uber Technologies, Inc. | PRESTON, ASHLEY DAWN | 3688 | §101§103 | Non-Final OA | 83d | Pending | Apr 30, 2024 |
| 18594637 | Systems and Methods for Ephemeral Processing of High Cardinality Data | Uber Technologies, Inc. | ELFERVIG, TAYLOR A | 2445 | §103§112 | Non-Final OA | — | Pending | Mar 04, 2024 |
| 18313731 | Data Compression for Real-Time Analytics | Uber Technologies, Inc. | VUONG, CAO DANG | 2153 | §103 | Non-Final OA | — | Pending | May 08, 2023 |
| 18295012 | Real-Time Item Selection Model for Shopper | Uber Technologies, Inc. | TC 3600, DOCKET | 3689 | §101§103 | Final Rejection | 24d overdue | Pending | Apr 03, 2023 |
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