Prosecution Insights
Prosecution Insights
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
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 | 2 (40%) |
| §101 + other | 2 (40%) |
| §103 only | 1 (20%) |
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 |
|---|---|---|---|
| DAYE, CHELCIE L | 1 | 76.4% | +16.0% |
| KASSIM, IMAD MUTEE | 1 | 73.8% | +30.9% |
| RAHMAN, IBRAHIM | 1 | 6.3% | -9.1% |
| ANDERSON-FEARS, KEENAN NEIL | 1 | 9.1% | +45.0% |
| SANFORD, DIANA PATRICIA | 1 | 53.8% | +54.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17565910 | INFORMATION PROCESSING METHOD AND DEVICE | SANFORD, DIANA PATRICIA | 35d overdue |
| 17570416 | METHOD OF TRAINING PREDICTION MODEL FOR DETERMINING MOLECULAR BINDING FORCE | ANDERSON-FEARS, KEENAN NEIL | 6d |
| 19238163 | METHOD AND APPARATUS FOR PROCESSING METADATA OF DISTRIBUTED FILE SYSTEM | DAYE, CHELCIE L | 84d |
| 18009980 | TRAINING OF DEPLOYED NEURAL NETWORKS | RAHMAN, IBRAHIM | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17565910 | INFORMATION PROCESSING METHOD AND DEVICE | SANFORD, DIANA PATRICIA | 35d overdue |
| 17570416 | METHOD OF TRAINING PREDICTION MODEL FOR DETERMINING MOLECULAR BINDING FORCE | ANDERSON-FEARS, KEENAN NEIL | 6d |
| 19238163 | METHOD AND APPARATUS FOR PROCESSING METADATA OF DISTRIBUTED FILE SYSTEM | DAYE, CHELCIE L | 84d |
| 18556619 | MULTIPLE-MODEL HETEROGENEOUS COMPUTING | KASSIM, IMAD MUTEE | — |
| Art Unit | Apps |
|---|---|
| 1687 | 2 |
| 2161 | 1 |
| 2486 | 1 |
| 2122 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19238163 | METHOD AND APPARATUS FOR PROCESSING METADATA OF DISTRIBUTED FILE SYSTEM | DAYE, CHELCIE L | 2161 | §101 | Non-Final OA | 84d | Pending | Jun 13, 2025 |
| 18556619 | MULTIPLE-MODEL HETEROGENEOUS COMPUTING | KASSIM, IMAD MUTEE | 2486 | §103 | Non-Final OA | — | Pending | Oct 20, 2023 |
| 18009980 | TRAINING OF DEPLOYED NEURAL NETWORKS | RAHMAN, IBRAHIM | 2122 | §101 | Final Rejection | — | Pending | Dec 12, 2022 |
| 17570416 | METHOD OF TRAINING PREDICTION MODEL FOR DETERMINING MOLECULAR BINDING FORCE | ANDERSON-FEARS, KEENAN NEIL | 1687 | §101§103 | Final Rejection | 6d | Pending | Jan 07, 2022 |
| 17565910 | INFORMATION PROCESSING METHOD AND DEVICE | SANFORD, DIANA PATRICIA | 1687 | §101§102§103 | Non-Final OA | 35d overdue | Pending | Dec 30, 2021 |
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