Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Nantes Universite is currently overseeing 1 pending office action within the Computing & Software technology area. This matter is assigned to 1 distinct examiner, indicating a concentrated prosecution effort for the institution's current filings. The activity is localized within 1 distinct art unit, which suggests that the university's immediate patent interests in computing are focused on a specific technical domain.
The busiest examiner for the university is KARIM, ZIAUL, who is responsible for 1 busiest examiner pending action. This represents the institution's entire current workload of pending office actions. Because the prosecution involves only 1 distinct examiner, the outcome of this matter is heavily dependent on the specific preferences and interpretations of KARIM, ZIAUL. Practitioners should focus their efforts on addressing the specific concerns raised by this examiner within the 1 distinct art unit. The singular nature of the 1 pending office action allows for a highly specialized and focused response strategy to secure patent protection in the Computing & Software field.
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 |
|---|---|
| §112 only | 1 (100%) |
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 |
|---|---|---|---|
| KARIM, ZIAUL | 1 | 81.9% | +21.8% |
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 |
|---|---|---|---|
| 18555409 | Method for monitoring the quality of screwing or drilling operations including unsupervised machine learning | KARIM, ZIAUL | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18555409 | Method for monitoring the quality of screwing or drilling operations including unsupervised machine learning | KARIM, ZIAUL | — |
| Art Unit | Apps |
|---|---|
| 2119 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18555409 | Method for monitoring the quality of screwing or drilling operations including unsupervised machine learning | KARIM, ZIAUL | 2119 | §112 | Non-Final OA | — | Pending | Oct 13, 2023 |
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