Prosecution Insights
Prosecution Insights
3 pending office actions • 2 art units • 2 examiners • 0 of 3 (0%) have an AI response strategy ready
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 only | 3 (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 |
|---|---|---|---|
| COLEMAN, CHARLES P. | 2 | 16.0% | +19.1% |
| KANAAN, MAROUN P | 1 | 62.7% | +31.8% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17863459 | Generating RTSM Systems for Clinical Trials | COLEMAN, CHARLES P. | 29d overdue |
| 17852259 | SYSTEMS AND METHODS FOR DEMAND AND SUPPLY FORECASTING FOR CLINICAL TRIALS | KANAAN, MAROUN P | 11d overdue |
| 18100388 | AUTOMATED RANDOMIZATION VALIDATION FOR AN RTSM SYSTEM | COLEMAN, CHARLES P. | 29d |
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 |
|---|---|---|---|
| 17863459 | Generating RTSM Systems for Clinical Trials | COLEMAN, CHARLES P. | 29d overdue |
| 17852259 | SYSTEMS AND METHODS FOR DEMAND AND SUPPLY FORECASTING FOR CLINICAL TRIALS | KANAAN, MAROUN P | 11d overdue |
| 18100388 | AUTOMATED RANDOMIZATION VALIDATION FOR AN RTSM SYSTEM | COLEMAN, CHARLES P. | 29d |
| Art Unit | Apps |
|---|---|
| 3683 | 2 |
| 3687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18100388 | AUTOMATED RANDOMIZATION VALIDATION FOR AN RTSM SYSTEM | COLEMAN, CHARLES P. | 3683 | §101 | Non-Final OA | 29d | Pending | Jan 23, 2023 |
| 17863459 | Generating RTSM Systems for Clinical Trials | COLEMAN, CHARLES P. | 3683 | §101 | Final Rejection | 29d overdue | Pending | Jul 13, 2022 |
| 17852259 | SYSTEMS AND METHODS FOR DEMAND AND SUPPLY FORECASTING FOR CLINICAL TRIALS | KANAAN, MAROUN P | 3687 | §101 | Final Rejection | 11d overdue | Pending | Jun 28, 2022 |
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