Prosecution Insights
Prosecution Insights
Technology areas: Communications • Medical Devices & Mechanical Engineering
5 pending office actions • 3 clients • 5 examiners • 3 art units • 0 of 5 (0%) have an AI response strategy ready
Convergence Intellectual Property Law P.C. has managed 171 career applications, primarily in the Medical Devices & Mechanical Engineering technology area. The firm has achieved a resolved allowance rate of 87.39 percent. This performance is associated with an average of 3.79 office actions per allowance, which reflects the typical level of examiner interaction required.
Currently, the firm is handling 4 pending office actions in the Medical Devices & Mechanical Engineering sector. This active workload sits alongside the 171 career applications that define the firm's historical footprint. The 87.39 percent allowance rate provides a benchmark for the firm's effectiveness in this technical domain.
The average of 3.79 office actions per allowance suggests a consistent approach to resolving examiner inquiries. With 4 pending office actions currently in progress, the firm continues its work in the field. These metrics together illustrate the firm's experience and current activity levels.
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 | 1 (20%) |
| §103 only | 1 (20%) |
| §112 only | 1 (20%) |
| Multi-statute (no §101) | 2 (40%) |
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 |
|---|---|---|---|
| NGUYEN, THIEN DANG | 1 | 87.4% | +11.7% |
| PANWALKAR, VINEETA S | 1 | 91.1% | +8.7% |
| LABRANCHE, BROOKE N | 1 | 72.7% | +15.7% |
| SNOW, BRUCE EDWARD | 1 | 75.4% | +8.0% |
| BARIA, DINAH N | 1 | 72.9% | +28.5% |
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 |
|---|---|---|---|
| 19033482 | METHOD FOR COMPUTING WEIGHTS FOR A BEAMFORMING ALGORITHM FROM AN INTELLIGENT REFLECTING SURFACE | PANWALKAR, VINEETA S | — |
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 |
|---|---|---|---|
| 17973331 | ABSORBABLE INTRAVASCULAR DEVICES FOR THE TREATMENT OF VENOUS OCCLUSIVE DISEASE | BARIA, DINAH N | 53d overdue |
| 19073480 | Neural network-based decoder architecture for 5G | NGUYEN, THIEN DANG | — |
| 18093535 | RADIALLY RIGID AND LONGITUDINALLY FLEXIBLE MULTI-ELEMENT INTRAVASCULAR STENT | SNOW, BRUCE EDWARD | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17973331 | ABSORBABLE INTRAVASCULAR DEVICES FOR THE TREATMENT OF VENOUS OCCLUSIVE DISEASE | BARIA, DINAH N | 53d overdue |
| 18037313 | SEGMENTED BALLOON-EXPANDABLE STENT SYSTEM FOR PRESERVATION OF THE ARTERIAL LUMEN DURING BENDING | LABRANCHE, BROOKE N | 12d |
| 19073480 | Neural network-based decoder architecture for 5G | NGUYEN, THIEN DANG | — |
| Client (Assignee) | Pending OAs |
|---|---|
| EFEMORAL MEDICAL, INC. | 3 |
| IIT Madras | 1 |
| Indian Institute Of Technology Madras(Iit Madras) | 1 |
| Art Unit | Apps |
|---|---|
| 3774 | 2 |
| 2635 | 1 |
| 3771 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19073480 | Neural network-based decoder architecture for 5G | Indian Institute Of Technology Madras (Iit Madras) | NGUYEN, THIEN DANG | §101§102§103§112 | Non-Final OA | — | Pending | Mar 07, 2025 | |
| 19033482 | METHOD FOR COMPUTING WEIGHTS FOR A BEAMFORMING ALGORITHM FROM AN INTELLIGENT REFLECTING SURFACE | Indian Institute Of Technology Madras(Iit Madras) | PANWALKAR, VINEETA S | 2635 | §112 | Final Rejection | — | Pending | Jan 22, 2025 |
| 18037313 | SEGMENTED BALLOON-EXPANDABLE STENT SYSTEM FOR PRESERVATION OF THE ARTERIAL LUMEN DURING BENDING | Efemoral Medical, Inc. | LABRANCHE, BROOKE N | 3771 | §103 | Non-Final OA | 12d | Pending | May 16, 2023 |
| 18093535 | RADIALLY RIGID AND LONGITUDINALLY FLEXIBLE MULTI-ELEMENT INTRAVASCULAR STENT | Efemoral Medical, Inc. | SNOW, BRUCE EDWARD | 3774 | §102§112 | Non-Final OA | — | Pending | Jan 05, 2023 |
| 17973331 | ABSORBABLE INTRAVASCULAR DEVICES FOR THE TREATMENT OF VENOUS OCCLUSIVE DISEASE | Efemoral Medical, Inc. | BARIA, DINAH N | 3774 | §103§112 | Non-Final OA | 53d overdue | Pending | Oct 25, 2022 |
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