Prosecution Insights
Prosecution Insights
Technology areas: Networking & Security • Communications • Semiconductors, Circuits & Optics • Transportation, E-Commerce & Mechanical Systems
8 pending office actions • 4 clients • 7 examiners • 4 art units • 0 of 8 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
K&L Gates LLP - New York operates in Networking & Security. It has 34213 career applications. The firm has a resolved allowance rate of 84.55 percent. It averages 3.82 office actions per allowance. There are 5 pending office actions.
The 84.55 percent allowance rate is derived from 34213 career applications. The average of 3.82 office actions per allowance provides a measure of prosecution efficiency. The 5 pending office actions represent the firm's current active cases in the networking sector.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 (25%) |
| §103 only | 1 (12%) |
| Double-patenting + other | 2 (25%) |
| Multi-statute (no §101) | 3 (38%) |
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 |
|---|---|---|---|
| CELANI, NICHOLAS P | 2 | 45.8% | +42.3% |
| BARAKAT, MOHAMED | 1 | 73.7% | +23.1% |
| MAHASE, PAMESHANAND | 1 | 72.0% | +24.8% |
| ZHU, RICHARD Z | 1 | 69.3% | +15.7% |
| SHELTON, SYNPHANE LA'SHAWN | 1 | 100.0% | +0.0% |
| KOTTER, KIP T | 1 | 67.9% | +21.4% |
| GOURLIE, LAURA ELOISE | 1 | 64.4% | +38.8% |
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 |
|---|---|---|---|
| 18938780 | CONGENER REMOVAL IN ETHANOL PRODUCTION | SHELTON, SYNPHANE LA'SHAWN | — |
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 |
|---|---|---|---|
| 18484192 | TOKEN MISALIGNMENT DETECTION AND REMEDIATION DEVICE | CELANI, NICHOLAS P | 9d overdue |
| 17719801 | FLASH RADIOTHERAPY SYSTEMS AND METHODS OF USE | GOURLIE, LAURA ELOISE | 4d overdue |
| 18375155 | TOKEN MISALIGNMENT DETECTION AND REMEDIATION DEVICE | CELANI, NICHOLAS P | 83d |
| 19236742 | METHOD AND SYSTEM TO IMPROVE ACCURACY OF FALL DETECTION USING MULTI-SENSOR FUSION | MAHASE, PAMESHANAND | — |
| 18655805 | CONFIGURABLE WHEEL | KOTTER, KIP T | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18484192 | TOKEN MISALIGNMENT DETECTION AND REMEDIATION DEVICE | CELANI, NICHOLAS P | 9d overdue |
| 17719801 | FLASH RADIOTHERAPY SYSTEMS AND METHODS OF USE | GOURLIE, LAURA ELOISE | 4d overdue |
| 18375155 | TOKEN MISALIGNMENT DETECTION AND REMEDIATION DEVICE | CELANI, NICHOLAS P | 83d |
| 19248975 | ENVIRONMENT SENSING FOR CARE SYSTEMS | BARAKAT, MOHAMED | — |
| 19236742 | METHOD AND SYSTEM TO IMPROVE ACCURACY OF FALL DETECTION USING MULTI-SENSOR FUSION | MAHASE, PAMESHANAND | — |
| 19089555 | MACHINE LEARNING FOR AGGREGATING AND EVALUATING DATA FROM A SENSOR ENABLED ENVIRONMENT | ZHU, RICHARD Z | — |
| 18655805 | CONFIGURABLE WHEEL | KOTTER, KIP T | — |
| Client (Assignee) | Pending OAs |
|---|---|
| LogicMark | 5 |
| Whitefox Technologies Limited | 1 |
| Re:Build Manufacturing, LLC | 1 |
| The New York Proton Center | 1 |
| Art Unit | Apps |
|---|---|
| 2449 | 2 |
| 2685 | 1 |
| 3615 | 1 |
| 2881 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19248975 | ENVIRONMENT SENSING FOR CARE SYSTEMS | Logicmark, Inc. | BARAKAT, MOHAMED | 2685 | §112DP | Non-Final OA | — | Pending | Jun 25, 2025 |
| 19236742 | METHOD AND SYSTEM TO IMPROVE ACCURACY OF FALL DETECTION USING MULTI-SENSOR FUSION | Logicmark, Inc. | MAHASE, PAMESHANAND | §102§103Other | Non-Final OA | — | Pending | Jun 12, 2025 | |
| 19089555 | MACHINE LEARNING FOR AGGREGATING AND EVALUATING DATA FROM A SENSOR ENABLED ENVIRONMENT | Logicmark, Inc. | ZHU, RICHARD Z | §103 | Non-Final OA | — | Pending | Mar 25, 2025 | |
| 18938780 | CONGENER REMOVAL IN ETHANOL PRODUCTION | Whitefox Technologies Limited | SHELTON, SYNPHANE LA'SHAWN | §102§103§112DP | Non-Final OA | — | Pending | Nov 06, 2024 | |
| 18655805 | CONFIGURABLE WHEEL | Re:Build Manufacturing, LLC | KOTTER, KIP T | 3615 | §102§103§112 | Non-Final OA | — | Pending | May 06, 2024 |
| 18484192 | TOKEN MISALIGNMENT DETECTION AND REMEDIATION DEVICE | Logicmark, Inc. | CELANI, NICHOLAS P | 2449 | §101§103§112 | Final Rejection | 9d overdue | Pending | Oct 10, 2023 |
| 18375155 | TOKEN MISALIGNMENT DETECTION AND REMEDIATION DEVICE | Logicmark, Inc. | CELANI, NICHOLAS P | 2449 | §101§103§112 | Non-Final OA | 83d | Pending | Sep 29, 2023 |
| 17719801 | FLASH RADIOTHERAPY SYSTEMS AND METHODS OF USE | The New York Proton Center | GOURLIE, LAURA ELOISE | 2881 | §103§112 | Non-Final OA | 4d overdue | Pending | Apr 13, 2022 |
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