Prosecution Insights
Prosecution Insights
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
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 only | 1 (33%) |
| §101 + other | 1 (33%) |
| §103 only | 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 |
|---|---|---|---|
| VO, JIMMY | 1 | 73.6% | +21.8% |
| BARBEE, MANUEL L | 1 | 81.7% | +14.3% |
| ISLAM, MOHAMMAD K | 1 | 82.9% | +16.9% |
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 |
|---|---|---|---|
| 18557031 | METHOD AND SYSTEM FOR MONITORING HYBRID ENERGY STORAGE STATE OF BATTERY BASED ON BIG DATA PROCESSING | ISLAM, MOHAMMAD K | 30d overdue |
| 18557038 | FAULT DIAGNOSIS METHOD AND SYSTEM FOR ENERGY STORAGE POWER STATION BASED ON DISTRIBUTED NEURAL NETWORK | BARBEE, MANUEL L | 9d |
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 |
|---|---|---|---|
| 18557031 | METHOD AND SYSTEM FOR MONITORING HYBRID ENERGY STORAGE STATE OF BATTERY BASED ON BIG DATA PROCESSING | ISLAM, MOHAMMAD K | 30d overdue |
| 18557038 | FAULT DIAGNOSIS METHOD AND SYSTEM FOR ENERGY STORAGE POWER STATION BASED ON DISTRIBUTED NEURAL NETWORK | BARBEE, MANUEL L | 9d |
| 18421950 | METHOD FOR RECOVERING VALUABLE METALS FROM POSITIVE ELECTRODE OF WASTE LITHIUM IRON PHOSPHATE | VO, JIMMY | — |
| Art Unit | Apps |
|---|---|
| 2857 | 2 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18421950 | METHOD FOR RECOVERING VALUABLE METALS FROM POSITIVE ELECTRODE OF WASTE LITHIUM IRON PHOSPHATE | VO, JIMMY | — | §103 | Non-Final OA | — | Pending | Jan 24, 2024 |
| 18557038 | FAULT DIAGNOSIS METHOD AND SYSTEM FOR ENERGY STORAGE POWER STATION BASED ON DISTRIBUTED NEURAL NETWORK | BARBEE, MANUEL L | 2857 | §101§112 | Final Rejection | 9d | Pending | Oct 24, 2023 |
| 18557031 | METHOD AND SYSTEM FOR MONITORING HYBRID ENERGY STORAGE STATE OF BATTERY BASED ON BIG DATA PROCESSING | ISLAM, MOHAMMAD K | 2857 | §101 | Non-Final OA | 30d overdue | Pending | Oct 24, 2023 |
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