Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (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 | 2 (40%) |
| §103 only | 1 (20%) |
| Multi-statute (no §101) | 2 (40%) |
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 |
|---|---|---|---|
| GIESY, ADAM | 1 | 81.3% | +12.2% |
| STONE, RACHAEL SOJIN | 1 | 55.2% | +21.0% |
| HOLCOMB, MARK | 1 | 33.8% | +40.5% |
| SACKALOSKY, COREY MATTHEW | 1 | 61.9% | +26.5% |
| MERRIAM, AARON ROGERS | 1 | 30.6% | +66.7% |
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 |
|---|---|---|---|
| 17782393 | WEARABLE DEVICE | MERRIAM, AARON ROGERS | 28d overdue |
| 19074149 | WEARABLE COMPUTING DEVICE WITH ELECTROPHYSIOLOGICAL SENSORS | GIESY, ADAM | — |
| 18201502 | SYSTEM AND METHOD FOR BRAIN MODELLING | STONE, RACHAEL SOJIN | — |
| 18018823 | LEARNING REPRESENTATIONS OF EEG SIGNALS WITH SELF-SUPERVISED LEARNING | SACKALOSKY, COREY MATTHEW | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17782393 | WEARABLE DEVICE | MERRIAM, AARON ROGERS | 28d overdue |
| 18121459 | SYSTEMS AND METHODS FOR COLLECTING, ANALYZING, AND SHARING BIO-SIGNAL AND NON-BIO-SIGNAL DATA | HOLCOMB, MARK | 75d |
| 19074149 | WEARABLE COMPUTING DEVICE WITH ELECTROPHYSIOLOGICAL SENSORS | GIESY, ADAM | — |
| 18201502 | SYSTEM AND METHOD FOR BRAIN MODELLING | STONE, RACHAEL SOJIN | — |
| 18018823 | LEARNING REPRESENTATIONS OF EEG SIGNALS WITH SELF-SUPERVISED LEARNING | SACKALOSKY, COREY MATTHEW | — |
| Art Unit | Apps |
|---|---|
| 2622 | 1 |
| 3681 | 1 |
| 3685 | 1 |
| 2128 | 1 |
| 3791 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19074149 | WEARABLE COMPUTING DEVICE WITH ELECTROPHYSIOLOGICAL SENSORS | GIESY, ADAM | 2622 | §102§103 | Non-Final OA | — | Pending | Mar 07, 2025 |
| 18201502 | SYSTEM AND METHOD FOR BRAIN MODELLING | STONE, RACHAEL SOJIN | 3681 | §101Other | Non-Final OA | — | Pending | May 24, 2023 |
| 18121459 | SYSTEMS AND METHODS FOR COLLECTING, ANALYZING, AND SHARING BIO-SIGNAL AND NON-BIO-SIGNAL DATA | HOLCOMB, MARK | 3685 | §103 | Non-Final OA | 75d | Pending | Mar 14, 2023 |
| 18018823 | LEARNING REPRESENTATIONS OF EEG SIGNALS WITH SELF-SUPERVISED LEARNING | SACKALOSKY, COREY MATTHEW | 2128 | §101 | Final Rejection | — | Pending | Jan 30, 2023 |
| 17782393 | WEARABLE DEVICE | MERRIAM, AARON ROGERS | 3791 | §103§112 | Final Rejection | 28d overdue | Pending | Jun 03, 2022 |
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