Prosecution Insights
Prosecution Insights
Technology area: Communications
5 pending office actions • 2 art units • 4 examiners • 0 of 5 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days
Fortell Research Inc. has 5 pending office actions in the Communications technology area. These 5 actions are handled by 4 distinct examiners across 2 distinct art units. This indicates a concentrated prosecution environment, with multiple actions being reviewed within the same art units.
The busiest examiner for the company is DABNEY, PHYLESHA LARVINIA, who is responsible for 2 pending office actions. This examiner handles a portion of the company's 5 total pending actions. The use of 2 distinct art units for these 5 actions suggests that the company's communications research is focused on specific technical niches. With 4 distinct examiners involved, the company must manage different examiner perspectives while operating within a limited number of 2 art units, which may help in maintaining technical consistency across the 5 pending matters.
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 |
|---|---|
| §103 only | 3 (60%) |
| Double-patenting + other | 1 (20%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| DABNEY, PHYLESHA LARVINIA | 2 | 76.5% | +14.9% |
| YU, NORMAN | 1 | 87.6% | +13.9% |
| JOSHI, SUNITA | 1 | 81.1% | +6.1% |
| REN, ZHUBING | 1 | 71.6% | +42.3% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19216468 | EAR-WORN DEVICE WITH NEURAL NETWORK-BASED NOISE MODIFICATION AND/OR SPATIAL FOCUSING | YU, NORMAN | — |
| 19081230 | MIXING SPEECH AND NOISE IN AN EAR-WORN DEVICE BASED ON NOISE LEVEL | JOSHI, SUNITA | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18950324 | NEURAL-NETWORK BASED DENOISING OF AUDIO SIGNALS RECEIVED BY AN EAR-WORN DEVICE CONTROLLED BASED ON ACTIVATION OF A USER INPUT DEVICE ON THE EAR-WORN DEVICE | DABNEY, PHYLESHA LARVINIA | — |
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 |
|---|---|---|---|
| 19216468 | EAR-WORN DEVICE WITH NEURAL NETWORK-BASED NOISE MODIFICATION AND/OR SPATIAL FOCUSING | YU, NORMAN | — |
| 19065431 | PERSONALIZING A SPEECH ENHANCEMENT NEURAL NETWORK USING SAMPLES OF A TARGET SPEAKER'S CLONED VOICE | REN, ZHUBING | — |
| 18950324 | NEURAL-NETWORK BASED DENOISING OF AUDIO SIGNALS RECEIVED BY AN EAR-WORN DEVICE CONTROLLED BASED ON ACTIVATION OF A USER INPUT DEVICE ON THE EAR-WORN DEVICE | DABNEY, PHYLESHA LARVINIA | — |
| 18801946 | EAR-WORN DEVICE CONFIGURED FOR OVER-THE-COUNTER AND PRESCRIPTION USE | DABNEY, PHYLESHA LARVINIA | — |
| Art Unit | Apps |
|---|---|
| 2693 | 1 |
| 2694 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19216468 | EAR-WORN DEVICE WITH NEURAL NETWORK-BASED NOISE MODIFICATION AND/OR SPATIAL FOCUSING | YU, NORMAN | 2693 | §103 | Non-Final OA | — | Pending | May 22, 2025 |
| 19081230 | MIXING SPEECH AND NOISE IN AN EAR-WORN DEVICE BASED ON NOISE LEVEL | JOSHI, SUNITA | — | §103 | Non-Final OA | — | Pending | Mar 17, 2025 |
| 19065431 | PERSONALIZING A SPEECH ENHANCEMENT NEURAL NETWORK USING SAMPLES OF A TARGET SPEAKER'S CLONED VOICE | REN, ZHUBING | — | §103 | Non-Final OA | — | Pending | Feb 27, 2025 |
| 18950324 | NEURAL-NETWORK BASED DENOISING OF AUDIO SIGNALS RECEIVED BY AN EAR-WORN DEVICE CONTROLLED BASED ON ACTIVATION OF A USER INPUT DEVICE ON THE EAR-WORN DEVICE | DABNEY, PHYLESHA LARVINIA | — | §102§103Other | Non-Final OA | — | Pending | Nov 18, 2024 |
| 18801946 | EAR-WORN DEVICE CONFIGURED FOR OVER-THE-COUNTER AND PRESCRIPTION USE | DABNEY, PHYLESHA LARVINIA | 2694 | §112DP | Non-Final OA | — | Pending | Aug 13, 2024 |
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