Prosecution Insights
Prosecution Insights
Technology area: Communications
4 pending office actions • 1 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Rideflux Inc. has 3 pending office actions in the Communications technology area. All of these actions are concentrated within a distinct art unit, indicating a focused technical scope for their current patent applications. The pending office actions are distributed among 3 distinct examiners, which means that no single examiner is handling more than one case for the company at this time. This arrangement ensures that the active matters receive individual attention from different examiners, even as they remain within the same art unit's jurisdiction.
WANG, JINGLI is the busiest examiner for this portfolio, currently managing 1 pending office action. The distribution of 3 pending office actions across examiners within a single art unit provides an environment where multiple reviewers are assessing the company's Communications technology. Because there are distinct examiners for the active matters, the company interacts with a variety of perspectives within the art unit. The specific review conducted by WANG, JINGLI ensures that the 1 pending office action assigned to the busiest reviewer is evaluated by the busiest official.
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 | 2 (50%) |
| §103 only | 1 (25%) |
| Multi-statute (no §101) | 1 (25%) |
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 |
|---|---|---|---|
| WANG, JINGLI | 1 | 71.3% | +17.7% |
| PATEL, JITESH | 1 | 78.8% | +12.3% |
| GORADIA, SHEFALI DINESH | 1 | 90.3% | +11.4% |
| OMETZ, RACHEL ANNE | 1 | 73.2% | +30.2% |
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 |
|---|---|---|---|
| 19206981 | METHOD, DEVICE, AND RECORDING MEDIUM FOR LOCALIZING AUTONOMOUS VEHICLE BY FUSING PLURALITY OF LOCALIZATION TECHNOLOGIES | WANG, JINGLI | — |
| 19069991 | METHOD, DEVICE, AND COMPUTER PROGRAM FOR LOCALIZING AUTONOMOUS DRIVING VEHICLE USING LOW-CAPACITY NDT MAP | PATEL, JITESH | — |
| 19029908 | SIGNAL INFORMATION RECOGNITION METHOD, DEVICE, AND COMPUTER PROGRAM FOR AUTONOMOUS DRIVING OF VEHICLE | GORADIA, SHEFALI DINESH | — |
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 |
|---|---|---|---|
| 19206981 | METHOD, DEVICE, AND RECORDING MEDIUM FOR LOCALIZING AUTONOMOUS VEHICLE BY FUSING PLURALITY OF LOCALIZATION TECHNOLOGIES | WANG, JINGLI | — |
| 19069991 | METHOD, DEVICE, AND COMPUTER PROGRAM FOR LOCALIZING AUTONOMOUS DRIVING VEHICLE USING LOW-CAPACITY NDT MAP | PATEL, JITESH | — |
| 19029908 | SIGNAL INFORMATION RECOGNITION METHOD, DEVICE, AND COMPUTER PROGRAM FOR AUTONOMOUS DRIVING OF VEHICLE | GORADIA, SHEFALI DINESH | — |
| 18640990 | METHOD OF MATCHING SCAN DATA BASED ON DRIVING ENVIRONMENT FEATURES OF AUTONOMOUS VEHICLE, COMPUTER DEVICE, AND RECORDING MEDIUM | OMETZ, RACHEL ANNE | — |
| Art Unit | Apps |
|---|---|
| 2668 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19206981 | METHOD, DEVICE, AND RECORDING MEDIUM FOR LOCALIZING AUTONOMOUS VEHICLE BY FUSING PLURALITY OF LOCALIZATION TECHNOLOGIES | WANG, JINGLI | — | §102§103 | Final Rejection | — | Pending | May 13, 2025 |
| 19069991 | METHOD, DEVICE, AND COMPUTER PROGRAM FOR LOCALIZING AUTONOMOUS DRIVING VEHICLE USING LOW-CAPACITY NDT MAP | PATEL, JITESH | — | §101§103 | Non-Final OA | — | Pending | Mar 04, 2025 |
| 19029908 | SIGNAL INFORMATION RECOGNITION METHOD, DEVICE, AND COMPUTER PROGRAM FOR AUTONOMOUS DRIVING OF VEHICLE | GORADIA, SHEFALI DINESH | — | §101§102§103 | Non-Final OA | — | Pending | Jan 17, 2025 |
| 18640990 | METHOD OF MATCHING SCAN DATA BASED ON DRIVING ENVIRONMENT FEATURES OF AUTONOMOUS VEHICLE, COMPUTER DEVICE, AND RECORDING MEDIUM | OMETZ, RACHEL ANNE | 2668 | §103 | Non-Final OA | — | Pending | Apr 19, 2024 |
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