Prosecution Insights
Prosecution Insights
6 pending office actions • 6 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 6 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. 6 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 (33%) |
| §103 only | 2 (33%) |
| §102 only | 2 (33%) |
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 |
|---|---|---|---|
| FRANKLIN, JAMARA ALZAIDA | 1 | 83.9% | +6.6% |
| RUHL, DENNIS WILLIAM | 1 | 26.2% | +22.8% |
| YONO, RAVEN E | 1 | 39.5% | +33.2% |
| KING, DAVIDA LEE | 1 | 33.3% | +41.7% |
| UNG, LANNY N | 1 | 71.3% | +25.4% |
| SANTIAGO-MERCED, FRANCIS Z | 1 | 28.7% | +40.9% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19317938 | DIGITAL WALLET APPLICATIONS SUPPORTING DECENTRALIZED WEB INTEGRATION | FRANKLIN, JAMARA ALZAIDA | 12d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18404070 | GENERATIVE ARTIFICIAL INTELLIGENCE FOR LOANS | YONO, RAVEN E | 35d overdue |
| 18764861 | OPTIMIZING ENTERPRISE TECHNOLOGY ECOSYSTEMS USING ARTIFICIAL INTELLIGENCE TO ANALYZE DATA, PREDICT STABILITY, IDENTIFY DEPENDENCIES, AND GENERATE ACTIONABLE TASKS | RUHL, DENNIS WILLIAM | 12d |
| 18243714 | RECOMMENDATION SYSTEMS INTEGRATING EXTENDED REALITY TO GENERATE PERSONALIZED RECOMMENDATIONS | SANTIAGO-MERCED, FRANCIS Z | 29d |
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 |
|---|---|---|---|
| 18404070 | GENERATIVE ARTIFICIAL INTELLIGENCE FOR LOANS | YONO, RAVEN E | 35d overdue |
| 18400778 | Techniques for Preserving Memories and Experiences Through a Non-Fungible Token (NFT) Engine | KING, DAVIDA LEE | 3d overdue |
| 18764861 | OPTIMIZING ENTERPRISE TECHNOLOGY ECOSYSTEMS USING ARTIFICIAL INTELLIGENCE TO ANALYZE DATA, PREDICT STABILITY, IDENTIFY DEPENDENCIES, AND GENERATE ACTIONABLE TASKS | RUHL, DENNIS WILLIAM | 12d |
| 18374913 | OPERATING SYSTEM LIFECYCLE MANAGEMENT USING MACHINE LEARNING | UNG, LANNY N | 19d |
| 18243714 | RECOMMENDATION SYSTEMS INTEGRATING EXTENDED REALITY TO GENERATE PERSONALIZED RECOMMENDATIONS | SANTIAGO-MERCED, FRANCIS Z | 29d |
| Art Unit | Apps |
|---|---|
| 2876 | 1 |
| 3626 | 1 |
| 3694 | 1 |
| 3699 | 1 |
| 2197 | 1 |
| 3625 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19317938 | DIGITAL WALLET APPLICATIONS SUPPORTING DECENTRALIZED WEB INTEGRATION | FRANKLIN, JAMARA ALZAIDA | 2876 | §102 | Non-Final OA | 12d | Pending | Sep 03, 2025 |
| 18764861 | OPTIMIZING ENTERPRISE TECHNOLOGY ECOSYSTEMS USING ARTIFICIAL INTELLIGENCE TO ANALYZE DATA, PREDICT STABILITY, IDENTIFY DEPENDENCIES, AND GENERATE ACTIONABLE TASKS | RUHL, DENNIS WILLIAM | 3626 | §101 | Final Rejection | 12d | Pending | Jul 05, 2024 |
| 18404070 | GENERATIVE ARTIFICIAL INTELLIGENCE FOR LOANS | YONO, RAVEN E | 3694 | §101 | Final Rejection | 35d overdue | Pending | Jan 04, 2024 |
| 18400778 | Techniques for Preserving Memories and Experiences Through a Non-Fungible Token (NFT) Engine | KING, DAVIDA LEE | 3699 | §103 | Final Rejection | 3d overdue | Pending | Dec 29, 2023 |
| 18374913 | OPERATING SYSTEM LIFECYCLE MANAGEMENT USING MACHINE LEARNING | UNG, LANNY N | 2197 | §103 | Non-Final OA | 19d | Pending | Sep 29, 2023 |
| 18243714 | RECOMMENDATION SYSTEMS INTEGRATING EXTENDED REALITY TO GENERATE PERSONALIZED RECOMMENDATIONS | SANTIAGO-MERCED, FRANCIS Z | 3625 | §102 | Non-Final OA | 29d | Pending | Sep 08, 2023 |
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