Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
6 pending office actions • 3 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 18 patents granted in the last 365 days
42dot Inc. is currently managing 6 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These 6 actions are distributed among 6 distinct examiners, which means that each pending matter is being handled by a different person. The prosecution activity is spread across 3 distinct art units, indicating a range of technical focuses within the transportation and mechanical sectors.
The busiest examiner for the portfolio is LEITE, PAULO ROBERTO GONZ, who has 1 pending office action. Because the total of 6 pending office actions is split among 6 distinct examiners, no single examiner is managing more than one case for the company. This distribution across 3 distinct art units suggests that the company's filings are categorized into several different technical specialties.
The 6 pending office actions reflect the company's current patent office engagement. The 3 distinct art units involved show that the company's technology spans multiple examination groups. With the busiest examiner pending count at 1, the prosecution workload is evenly dispersed among the 6 distinct examiners involved.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 | 5 (83%) |
| §102 only | 1 (17%) |
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 |
|---|---|---|---|
| LEITE, PAULO ROBERTO GONZ | 1 | 52.0% | +16.3% |
| LEWANDROSKI, SARA J | 1 | 81.0% | +9.0% |
| MILLER, RONDE LEE | 1 | 73.7% | +22.1% |
| TRACY JR., EDWARD | 1 | 76.7% | +38.2% |
| ALAVI, AMIR | 1 | 93.6% | +3.8% |
| GOLDBERG, IVAN R | 1 | 35.3% | +35.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18000535 | METHOD FOR MANAGING ALLOCATION OF VEHICLES TRAVELING TO DESTINATIONS, MANAGEMENT SERVER USED FOR SAME, AND RECORDING MEDIUM IN WHICH RECORDING PROGRAM THAT EXECUTES METHOD FOR MANAGING ALLOCATION OF VEHICLES TRAVELING TO DESTINATIONS IS RECORDED | GOLDBERG, IVAN R | 21d |
| 18976583 | METHOD AND APPARATUS FOR GUIDING DRIVING INFORMATION | LEWANDROSKI, SARA J | 26d |
| 19256215 | METHOD AND DEVICE FOR GENERATING ROAD-BASED, USERDEFINED ROUTE | LEITE, PAULO ROBERTO GONZ | — |
| 18928952 | METHOD AND DEVICE FOR PERFORMING TEXT AND SPEECH TASK | TRACY JR., EDWARD | — |
| 18687024 | DEVICE AND METHOD FOR GENERATING LANE POLYLINE USING NEURAL NETWORK MODEL | ALAVI, AMIR | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18000535 | METHOD FOR MANAGING ALLOCATION OF VEHICLES TRAVELING TO DESTINATIONS, MANAGEMENT SERVER USED FOR SAME, AND RECORDING MEDIUM IN WHICH RECORDING PROGRAM THAT EXECUTES METHOD FOR MANAGING ALLOCATION OF VEHICLES TRAVELING TO DESTINATIONS IS RECORDED | GOLDBERG, IVAN R | 21d |
| 19256215 | METHOD AND DEVICE FOR GENERATING ROAD-BASED, USERDEFINED ROUTE | LEITE, PAULO ROBERTO GONZ | — |
| 18955636 | METHOD OF TRACKING MULTIPLE OBJECTS AND ELECTRONIC DEVICE PERFORMING THE SAME | MILLER, RONDE LEE | — |
| 18928952 | METHOD AND DEVICE FOR PERFORMING TEXT AND SPEECH TASK | TRACY JR., EDWARD | — |
| Art Unit | Apps |
|---|---|
| 3663 | 1 |
| 3661 | 1 |
| 3619 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19256215 | METHOD AND DEVICE FOR GENERATING ROAD-BASED, USERDEFINED ROUTE | LEITE, PAULO ROBERTO GONZ | 3663 | §101§103 | Non-Final OA | — | Pending | Jul 01, 2025 |
| 18976583 | METHOD AND APPARATUS FOR GUIDING DRIVING INFORMATION | LEWANDROSKI, SARA J | 3661 | §101§103§112 | Final Rejection | 26d | Pending | Dec 11, 2024 |
| 18955636 | METHOD OF TRACKING MULTIPLE OBJECTS AND ELECTRONIC DEVICE PERFORMING THE SAME | MILLER, RONDE LEE | — | §102 | Non-Final OA | — | Pending | Nov 21, 2024 |
| 18928952 | METHOD AND DEVICE FOR PERFORMING TEXT AND SPEECH TASK | TRACY JR., EDWARD | — | §101§103 | Non-Final OA | — | Pending | Oct 28, 2024 |
| 18687024 | DEVICE AND METHOD FOR GENERATING LANE POLYLINE USING NEURAL NETWORK MODEL | ALAVI, AMIR | — | §101§102 | Non-Final OA | — | Pending | Oct 01, 2024 |
| 18000535 | METHOD FOR MANAGING ALLOCATION OF VEHICLES TRAVELING TO DESTINATIONS, MANAGEMENT SERVER USED FOR SAME, AND RECORDING MEDIUM IN WHICH RECORDING PROGRAM THAT EXECUTES METHOD FOR MANAGING ALLOCATION OF VEHICLES TRAVELING TO DESTINATIONS IS RECORDED | GOLDBERG, IVAN R | 3619 | §101§103§112 | Final Rejection | 21d | Pending | Dec 02, 2022 |
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