Prosecution Insights
Prosecution Insights
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready
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 + other | 2 (40%) |
| §103 only | 2 (40%) |
| §112 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 |
|---|---|---|---|
| PARISI, JESSICA DANIELLE | 1 | 77.1% | +32.4% |
| WHALEY, PABLO S | 1 | 25.3% | +21.3% |
| YU, TIAN NMN | 1 | 55.3% | +18.7% |
| LAFAVE, ELIZABETH ROSE | 1 | 58.3% | +46.6% |
| LIU, GUOZHEN | 1 | 48.5% | +26.5% |
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 |
|---|---|---|---|
| 18040108 | SYSTEMS, METHODS, AND MEDIA FOR DETERMINING RELATIVE QUALITY OF OLIGONUCLEOTIDE PREPARATIONS | WHALEY, PABLO S | — |
| 16096114 | MACHINE LEARNING TECHNIQUES FOR ANALYSIS OF STRUCTURAL VARIANTS | LIU, GUOZHEN | — |
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 |
|---|---|---|---|
| 17282728 | NORMALIZATION CONTROLS FOR MANAGING LOW SAMPLE INPUTS IN NEXT GENERATION SEQUENCING | LAFAVE, ELIZABETH ROSE | 7d |
| 17602577 | COMPOSITIONS AND METHODS FOR NUCLEOTIDE MODIFICATION-BASED DEPLETION | YU, TIAN NMN | 54d |
| 18414259 | LIGATION FREE METHODS OF NUCLEIC ACID LIBRARY PREPARATION | PARISI, JESSICA DANIELLE | — |
| 18040108 | SYSTEMS, METHODS, AND MEDIA FOR DETERMINING RELATIVE QUALITY OF OLIGONUCLEOTIDE PREPARATIONS | WHALEY, PABLO S | — |
| 16096114 | MACHINE LEARNING TECHNIQUES FOR ANALYSIS OF STRUCTURAL VARIANTS | LIU, GUOZHEN | — |
| Art Unit | Apps |
|---|---|
| 1684 | 2 |
| 3619 | 1 |
| 1681 | 1 |
| 1686 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18414259 | LIGATION FREE METHODS OF NUCLEIC ACID LIBRARY PREPARATION | PARISI, JESSICA DANIELLE | 1684 | §103 | Non-Final OA | — | Pending | Jan 16, 2024 |
| 18040108 | SYSTEMS, METHODS, AND MEDIA FOR DETERMINING RELATIVE QUALITY OF OLIGONUCLEOTIDE PREPARATIONS | WHALEY, PABLO S | 3619 | §101§112 | Final Rejection | — | Pending | Jan 31, 2023 |
| 17602577 | COMPOSITIONS AND METHODS FOR NUCLEOTIDE MODIFICATION-BASED DEPLETION | YU, TIAN NMN | 1681 | §112 | Non-Final OA | 54d | Pending | Oct 08, 2021 |
| 17282728 | NORMALIZATION CONTROLS FOR MANAGING LOW SAMPLE INPUTS IN NEXT GENERATION SEQUENCING | LAFAVE, ELIZABETH ROSE | 1684 | §103 | Non-Final OA | 7d | Pending | Apr 02, 2021 |
| 16096114 | MACHINE LEARNING TECHNIQUES FOR ANALYSIS OF STRUCTURAL VARIANTS | LIU, GUOZHEN | 1686 | §101§103§112 | Non-Final OA | — | Pending | Oct 24, 2018 |
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