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
AlCrete Corp. is currently prosecuting a patent portfolio in the Computing & Software technology area, which includes 1 pending office action. This workload is managed by 1 distinct examiner and is located within a distinct art unit. This profile implies that the company's immediate patent goals are tied to the assigned technical evaluation.
The busiest examiner for the portfolio is REYES, MARIELA D, who is responsible for the busiest examiner pending office action. Because the company interacts with a distinct art unit, there is no variation in the technical guidelines being applied. Practitioners can focus on the procedural habits of this examiner to advance the pending application.
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 (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 |
|---|---|---|---|
| REYES, MARIELA D | 1 | 61.1% | +23.7% |
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 |
|---|---|---|---|
| 17578886 | MACHINE LEARNING METHODS TO OPTIMIZE CONCRETE APPLICATIONS AND FORMULATIONS | REYES, MARIELA D | 35d overdue |
| Art Unit | Apps |
|---|---|
| 2142 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17578886 | MACHINE LEARNING METHODS TO OPTIMIZE CONCRETE APPLICATIONS AND FORMULATIONS | REYES, MARIELA D | 2142 | §103 | Non-Final OA | 35d overdue | Pending | Jan 19, 2022 |
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