Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 2 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
TomTom Global Content B.V. maintains 4 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. All 4 pending actions are concentrated within 1 distinct art unit, which suggests a specific technical focus for the current portfolio. Despite this concentration in a single art unit, the company is working with 4 distinct examiners, meaning each pending action is being handled by a different individual. This arrangement requires the company to navigate the specific internal practices of that 1 distinct art unit while managing four separate examiner relationships.
The busiest examiner, GASCA ALVA JR, MOISES, is responsible for 1 pending office action. Because there are 4 distinct examiners for 4 actions, no single examiner holds a majority of the workload. This distribution across 4 distinct examiners within 1 distinct art unit means that every action receives a unique review. Practitioners should focus on the specific standards of the 1 distinct art unit while being mindful of the individual preferences of the 4 distinct examiners involved in these 4 pending office actions.
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 + other | 3 (60%) |
| §103 only | 1 (20%) |
| §102 only | 1 (20%) |
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 |
|---|---|---|---|
| GASCA ALVA JR, MOISES | 1 | 47.6% | +53.6% |
| SARWAR, BABAR | 1 | 85.7% | +19.7% |
| ALCORN III, GEORGE A | 1 | 61.1% | +33.7% |
| PEACH, POLINA G | 1 | 50.4% | +23.3% |
| JIN, SELENA MENG | 1 | 44.8% | +23.6% |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 19129563 | METHOD AND COMPUTING SYSTEM FOR PROCESSING DIGITAL MAP DATA, AND METHOD OF PROVIDING OR UPDATING DIGITAL MAP DATA OF A NAVIGATION DEVICE | SARWAR, BABAR | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19282384 | METHOD AND APPARATUS FOR ANALYSIS OF ROAD NETWORKS | GASCA ALVA JR, MOISES | — |
| 19173352 | UPDATING MAP FEATURES IN HIGH DEFINITION MAP DATA USING MAP CHANGE DATA | ALCORN III, GEORGE A | — |
| 18977170 | Method of Modifying Map Data, and Machine-Readable Instruction Code | PEACH, POLINA G | — |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 19282384 | METHOD AND APPARATUS FOR ANALYSIS OF ROAD NETWORKS | GASCA ALVA JR, MOISES | — |
| 19129563 | METHOD AND COMPUTING SYSTEM FOR PROCESSING DIGITAL MAP DATA, AND METHOD OF PROVIDING OR UPDATING DIGITAL MAP DATA OF A NAVIGATION DEVICE | SARWAR, BABAR | — |
| 19173352 | UPDATING MAP FEATURES IN HIGH DEFINITION MAP DATA USING MAP CHANGE DATA | ALCORN III, GEORGE A | — |
| 18977170 | Method of Modifying Map Data, and Machine-Readable Instruction Code | PEACH, POLINA G | — |
| 18909589 | Systems and Methods for Correcting Maps | JIN, SELENA MENG | — |
| Art Unit | Apps |
|---|---|
| 3667 | 3 |
| 2165 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19282384 | METHOD AND APPARATUS FOR ANALYSIS OF ROAD NETWORKS | GASCA ALVA JR, MOISES | 3667 | §101§103§112 | Non-Final OA | — | Pending | Jul 28, 2025 |
| 19129563 | METHOD AND COMPUTING SYSTEM FOR PROCESSING DIGITAL MAP DATA, AND METHOD OF PROVIDING OR UPDATING DIGITAL MAP DATA OF A NAVIGATION DEVICE | SARWAR, BABAR | 3667 | §102 | Non-Final OA | — | Pending | May 13, 2025 |
| 19173352 | UPDATING MAP FEATURES IN HIGH DEFINITION MAP DATA USING MAP CHANGE DATA | ALCORN III, GEORGE A | — | §101§103 | Non-Final OA | — | Pending | Apr 08, 2025 |
| 18977170 | Method of Modifying Map Data, and Machine-Readable Instruction Code | PEACH, POLINA G | 2165 | §101§103 | Final Rejection | — | Pending | Dec 11, 2024 |
| 18909589 | Systems and Methods for Correcting Maps | JIN, SELENA MENG | 3667 | §103 | Non-Final OA | — | Pending | Oct 08, 2024 |
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