Prosecution Insights
Prosecution Insights
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 | 4 (80%) |
| §101 + other | 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 |
|---|---|---|---|
| AUSTIN, JAMIE H | 1 | 24.7% | +32.6% |
| FU, HAO | 1 | 50.0% | +25.0% |
| RINES, ROBERT D | 1 | 38.4% | +46.6% |
| DIVELBISS, MATTHEW H | 1 | 23.4% | +23.9% |
| SHORTER, RASHIDA R | 1 | 18.0% | +26.1% |
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 |
|---|---|---|---|
| 18760723 | Systems, Methods, and Platform for Performing a Multi-Level Catastrophic Risk Exposure Analysis for a Portfolio | FU, HAO | 16d overdue |
| 18117681 | Optimizing Benefits Selection in View of both Member Population and Organizational Preferences | SHORTER, RASHIDA R | 8d |
| 18670423 | Systems and Methods for Automating Operational Due Diligence Analysis to Objectively Quantify Risk Factors | RINES, ROBERT D | 40d |
| 18774493 | SYSTEMS AND METHODS FOR PREDICTING SUBSCRIBER CHURN IN RENEWALS OF SUBSCRIPTION PRODUCTS AND FOR AUTOMATICALLY SUPPORTING SUBSCRIBER-SUBSCRIPTION PROVIDER RELATIONSHIP DEVELOPMENT TO AVOID SUBSCRIBER CHURN | AUSTIN, JAMIE H | — |
| 18198641 | Identifying, Quantifying, and Mitigating Risks within Agricultural Supply Chains | DIVELBISS, MATTHEW H | — |
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 |
|---|---|---|---|
| 18760723 | Systems, Methods, and Platform for Performing a Multi-Level Catastrophic Risk Exposure Analysis for a Portfolio | FU, HAO | 16d overdue |
| 18117681 | Optimizing Benefits Selection in View of both Member Population and Organizational Preferences | SHORTER, RASHIDA R | 8d |
| 18670423 | Systems and Methods for Automating Operational Due Diligence Analysis to Objectively Quantify Risk Factors | RINES, ROBERT D | 40d |
| 18774493 | SYSTEMS AND METHODS FOR PREDICTING SUBSCRIBER CHURN IN RENEWALS OF SUBSCRIPTION PRODUCTS AND FOR AUTOMATICALLY SUPPORTING SUBSCRIBER-SUBSCRIPTION PROVIDER RELATIONSHIP DEVELOPMENT TO AVOID SUBSCRIBER CHURN | AUSTIN, JAMIE H | — |
| 18198641 | Identifying, Quantifying, and Mitigating Risks within Agricultural Supply Chains | DIVELBISS, MATTHEW H | — |
| Art Unit | Apps |
|---|---|
| 3625 | 2 |
| 3695 | 1 |
| 3624 | 1 |
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18774493 | SYSTEMS AND METHODS FOR PREDICTING SUBSCRIBER CHURN IN RENEWALS OF SUBSCRIPTION PRODUCTS AND FOR AUTOMATICALLY SUPPORTING SUBSCRIBER-SUBSCRIPTION PROVIDER RELATIONSHIP DEVELOPMENT TO AVOID SUBSCRIBER CHURN | AUSTIN, JAMIE H | 3625 | §101§103§112 | Final Rejection | — | Pending | Jul 16, 2024 |
| 18760723 | Systems, Methods, and Platform for Performing a Multi-Level Catastrophic Risk Exposure Analysis for a Portfolio | FU, HAO | 3695 | §101 | Non-Final OA | 16d overdue | Pending | Jul 01, 2024 |
| 18670423 | Systems and Methods for Automating Operational Due Diligence Analysis to Objectively Quantify Risk Factors | RINES, ROBERT D | 3625 | §101 | Non-Final OA | 40d | Pending | May 21, 2024 |
| 18198641 | Identifying, Quantifying, and Mitigating Risks within Agricultural Supply Chains | DIVELBISS, MATTHEW H | 3624 | §101 | Non-Final OA | — | Pending | May 17, 2023 |
| 18117681 | Optimizing Benefits Selection in View of both Member Population and Organizational Preferences | SHORTER, RASHIDA R | 3626 | §101 | Final Rejection | 8d | Pending | Mar 06, 2023 |
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