Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Amp Robotics Corporation holds a company patent portfolio in the Computing & Software technology area. The portfolio currently includes 3 pending office actions. All of these matters are concentrated within 1 distinct art units. This concentration suggests that the company's current filings are technically homogenous and fall under a single specialized group at the patent office. The focus on 1 distinct art units provides a stable regulatory environment for the company's intellectual property.
There are 3 distinct examiners assigned to these 3 pending office actions. This creates a situation where every active matter is being reviewed by a different person, despite all cases being in the same art unit. This variety of examiners within 1 distinct art units may lead to different interpretations of similar technical subject matter. Practitioners should monitor for consistency across these three separate interactions to ensure a unified prosecution strategy.
MACKEY, PATRICK HEWEY is the busiest examiner for the portfolio. This examiner is currently handling 1 busiest examiner pending office action. This accounts for one third of the 3 pending office actions currently active for Amp Robotics Corporation. The prosecution strategy must account for the individual tendencies of MACKEY, PATRICK HEWEY alongside the other two examiners involved.
Based on the USPTO statutory response window for each pending office action. 1 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 |
|---|---|
| §103 only | 1 (33%) |
| Double-patenting + other | 1 (33%) |
| Multi-statute (no §101) | 1 (33%) |
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 |
|---|---|---|---|
| MACKEY, PATRICK HEWEY | 1 | 83.6% | +12.4% |
| BROTHERS, LAURENCE RAPHAEL | 1 | 88.8% | +16.2% |
| ROHD, BENJAMIN MATTHEW | 1 | 20.0% | +100.0% |
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 |
|---|---|---|---|
| 19015196 | VACUUM EXTRACTION FOR MATERIAL SORTING APPLICATIONS | MACKEY, PATRICK HEWEY | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17559789 | CLOUD AND FACILITY-BASED MACHINE LEARNING FOR SORTING FACILITIES | ROHD, BENJAMIN MATTHEW | 79d |
| 18988661 | CONTROLLABLE ARRAY SORTING DEVICE | BROTHERS, LAURENCE RAPHAEL | — |
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 |
|---|---|---|---|
| 17559789 | CLOUD AND FACILITY-BASED MACHINE LEARNING FOR SORTING FACILITIES | ROHD, BENJAMIN MATTHEW | 79d |
| 19015196 | VACUUM EXTRACTION FOR MATERIAL SORTING APPLICATIONS | MACKEY, PATRICK HEWEY | — |
| 18988661 | CONTROLLABLE ARRAY SORTING DEVICE | BROTHERS, LAURENCE RAPHAEL | — |
| Art Unit | Apps |
|---|---|
| 2147 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19015196 | VACUUM EXTRACTION FOR MATERIAL SORTING APPLICATIONS | MACKEY, PATRICK HEWEY | — | §102§112DP | Non-Final OA | — | Pending | Jan 09, 2025 |
| 18988661 | CONTROLLABLE ARRAY SORTING DEVICE | BROTHERS, LAURENCE RAPHAEL | — | §102§103 | Non-Final OA | — | Pending | Dec 19, 2024 |
| 17559789 | CLOUD AND FACILITY-BASED MACHINE LEARNING FOR SORTING FACILITIES | ROHD, BENJAMIN MATTHEW | 2147 | §103 | Non-Final OA | 79d | Pending | Dec 22, 2021 |
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