Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Reciprocal Labs Corporation, operating in Transportation, E-Commerce & Mechanical Systems, has 5 pending office actions. These are spread across 4 distinct art units. Prosecution involves 5 distinct examiners, meaning each pending action is being reviewed by a different individual.
EVANS, ASHLEY ELIZABETH is the busiest examiner with 1 pending office action. Since there are 5 distinct examiners for 5 pending office actions, the workload is evenly distributed. The involvement of 4 distinct art units suggests that the 5 pending office actions cover a variety of technical sub-sectors. Practitioners should be prepared for 5 independent review processes.
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 |
|---|---|
| §101 only | 1 (20%) |
| §101 + other | 1 (20%) |
| §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 |
|---|---|---|---|
| EVANS, ASHLEY ELIZABETH | 1 | 17.2% | +39.1% |
| VO, TU A | 1 | 60.6% | +58.9% |
| MUNION, JAMES E | 1 | 76.5% | +23.7% |
| KANAAN, LIZA TONY | 1 | 23.4% | +31.5% |
| MACCAGNO, PIERRE L | 1 | 23.8% | +30.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17997500 | SYSTEM AND METHOD TO IDENTIFY SUITABLE PATIENT SUBGROUPS FOR BIOLOGICS | KANAAN, LIZA TONY | 81d overdue |
| 18566010 | MOBILE APPLICATION FOR DETERMINING AND RECORDING MEDICATION | EVANS, ASHLEY ELIZABETH | — |
| 18506005 | INHALER ADHERENCE MONITOR WITH MODULAR ATTACHMENTS | VO, TU A | — |
| 18005317 | UNIVERSAL SENSOR ALLOWING CONFIGURATION OF INPUTS FOR GATHERING PATIENT FEEDBACK | MUNION, JAMES E | — |
| 17631758 | MODULAR INHALER ADHERENCE MONITOR | MACCAGNO, PIERRE L | — |
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 |
|---|---|---|---|
| 17997500 | SYSTEM AND METHOD TO IDENTIFY SUITABLE PATIENT SUBGROUPS FOR BIOLOGICS | KANAAN, LIZA TONY | 81d overdue |
| 18566010 | MOBILE APPLICATION FOR DETERMINING AND RECORDING MEDICATION | EVANS, ASHLEY ELIZABETH | — |
| 18506005 | INHALER ADHERENCE MONITOR WITH MODULAR ATTACHMENTS | VO, TU A | — |
| 18005317 | UNIVERSAL SENSOR ALLOWING CONFIGURATION OF INPUTS FOR GATHERING PATIENT FEEDBACK | MUNION, JAMES E | — |
| 17631758 | MODULAR INHALER ADHERENCE MONITOR | MACCAGNO, PIERRE L | — |
| Art Unit | Apps |
|---|---|
| 3687 | 2 |
| 3783 | 1 |
| 1685 | 1 |
| 3683 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18566010 | MOBILE APPLICATION FOR DETERMINING AND RECORDING MEDICATION | EVANS, ASHLEY ELIZABETH | 3687 | §101§102 | Non-Final OA | — | Pending | Nov 30, 2023 |
| 18506005 | INHALER ADHERENCE MONITOR WITH MODULAR ATTACHMENTS | VO, TU A | 3783 | §103§112 | Non-Final OA | — | Pending | Nov 09, 2023 |
| 18005317 | UNIVERSAL SENSOR ALLOWING CONFIGURATION OF INPUTS FOR GATHERING PATIENT FEEDBACK | MUNION, JAMES E | 1685 | §102§103 | Non-Final OA | — | Pending | Jan 12, 2023 |
| 17997500 | SYSTEM AND METHOD TO IDENTIFY SUITABLE PATIENT SUBGROUPS FOR BIOLOGICS | KANAAN, LIZA TONY | 3683 | §101 | Final Rejection | 81d overdue | Pending | Oct 28, 2022 |
| 17631758 | MODULAR INHALER ADHERENCE MONITOR | MACCAGNO, PIERRE L | 3687 | §103 | Non-Final OA | — | Pending | Jan 31, 2022 |
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