Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 1 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
The University Of Liverpool has 2 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are being handled by 2 distinct examiners. This distribution means each pending action is under the review of a different individual, providing two separate perspectives on the university's claims.
The portfolio is located within 1 distinct art unit. HAMILTON, MATTHEW L is the busiest examiner for the university, holding 1 pending office action. This accounts for half of the 2 pending office actions currently in the system, with the other action assigned to the second of the 2 distinct examiners.
The presence of 2 distinct examiners within 1 distinct art unit suggests that the university may receive different interpretations of the same technical standards. Practitioners should compare the feedback from the 2 distinct examiners to ensure a consistent approach to the 2 pending office actions. Managing these 2 pending office actions within a single art unit allows for a focused technical strategy.
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 + other | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| HAMILTON, MATTHEW L | 1 | 53.5% | +61.4% |
| HASTINGS, ALISON AZAR | 1 | 63.5% | +40.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18994127 | A COMPUTER-IMPLEMENTED METHOD OF DETERMINING IF A MEDICAL DATA SAMPLE REQUIRES REFERRAL FOR INVESTIGATION FOR A DISEASE | HAMILTON, MATTHEW L | — |
| 18873070 | NOVEL TREATMENT | HASTINGS, ALISON AZAR | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18994127 | A COMPUTER-IMPLEMENTED METHOD OF DETERMINING IF A MEDICAL DATA SAMPLE REQUIRES REFERRAL FOR INVESTIGATION FOR A DISEASE | HAMILTON, MATTHEW L | — |
| 18873070 | NOVEL TREATMENT | HASTINGS, ALISON AZAR | — |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18994127 | A COMPUTER-IMPLEMENTED METHOD OF DETERMINING IF A MEDICAL DATA SAMPLE REQUIRES REFERRAL FOR INVESTIGATION FOR A DISEASE | HAMILTON, MATTHEW L | 3682 | §101§102§103 | Non-Final OA | — | Pending | Jan 14, 2025 |
| 18873070 | NOVEL TREATMENT | HASTINGS, ALISON AZAR | — | §103§112 | Non-Final OA | — | Pending | Dec 09, 2024 |
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