Prosecution Insights
Prosecution Insights
13 pending office actions • 12 art units • 12 examiners • 0 of 13 (0%) have an AI response strategy ready • 98 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 13 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. 13 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 |
|---|---|
| §103 only | 12 (92%) |
| §102 only | 1 (8%) |
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 |
|---|---|---|---|
| HOFFMAN, BRANDON S | 2 | 90.7% | +6.6% |
| WILSON, YOLANDA L | 1 | 84.0% | +5.8% |
| SARKER, SANCHIT K | 1 | 78.3% | +48.4% |
| YOON, ALEXANDER J | 1 | 57.4% | +18.0% |
| KIM, HEE SOO | 1 | 79.1% | +0.0% |
| MANOHARAN, SHASHIDHAR SHANKAR | 1 | 100.0% | +0.0% |
| CHOI, EUNSOOK | 1 | 90.0% | +7.6% |
| CHANG, TOM Y | 1 | 53.4% | +20.2% |
| ZHENG, BIN QING | 1 | 64.1% | +61.5% |
| FEITL, LEAH M | 1 | 25.0% | +7.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18640560 | Detecting and Fixing Collisions in Artificial Intelligence Agents | MANOHARAN, SHASHIDHAR SHANKAR | 8d |
| 18419441 | Zero-trust connectivity for Subscriber Identity Module (SIM) enabled equipment | CHOI, EUNSOOK | 15d |
| 18926986 | Encrypted traffic inspection in a cloud-based security system | HOFFMAN, BRANDON S | 21d |
| 18948775 | Zero Trust Network Branch | HOFFMAN, BRANDON S | 26d |
| 19008999 | Disaster recovery for private application access continuity | WILSON, YOLANDA L | 70d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17341513 | Machine learning to determine domain reputation, content classification, phishing sites, and command and control sites | FEITL, LEAH M | 27d |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18924682 | Vulnerabilities and Protections in Large Language Models | SARKER, SANCHIT K | 9d overdue |
| 18417534 | Hyper-customized customer defined machine learning models | CHANG, TOM Y | 9d overdue |
| 18346411 | Application server protection by maintaining cross-session inspection context | ZHENG, BIN QING | 9d |
| 18914829 | Memory surge protection for application segmentation models | YOON, ALEXANDER J | 29d |
| Art Unit | Apps |
|---|---|
| 2433 | 2 |
| 2113 | 1 |
| 2495 | 1 |
| 2135 | 1 |
| 2443 | 1 |
| 2655 | 1 |
| 2467 | 1 |
| 2455 | 1 |
| 2499 | 1 |
| 2147 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19008999 | Disaster recovery for private application access continuity | WILSON, YOLANDA L | 2113 | §103 | Non-Final OA | 70d | Pending | Jan 03, 2025 |
| 18948775 | Zero Trust Network Branch | HOFFMAN, BRANDON S | 2433 | §103 | Non-Final OA | 26d | Pending | Nov 15, 2024 |
| 18926986 | Encrypted traffic inspection in a cloud-based security system | HOFFMAN, BRANDON S | 2433 | §103 | Non-Final OA | 21d | Pending | Oct 25, 2024 |
| 18924682 | Vulnerabilities and Protections in Large Language Models | SARKER, SANCHIT K | 2495 | §102 | Non-Final OA | 9d overdue | Pending | Oct 23, 2024 |
| 18914829 | Memory surge protection for application segmentation models | YOON, ALEXANDER J | 2135 | §103 | Final Rejection | 29d | Pending | Oct 14, 2024 |
| 18910792 | Kill-chain reconstruction | KIM, HEE SOO | 2443 | §103 | Non-Final OA | 20d | Pending | Oct 09, 2024 |
| 18640560 | Detecting and Fixing Collisions in Artificial Intelligence Agents | MANOHARAN, SHASHIDHAR SHANKAR | 2655 | §103 | Non-Final OA | 8d | Pending | Apr 19, 2024 |
| 18419441 | Zero-trust connectivity for Subscriber Identity Module (SIM) enabled equipment | CHOI, EUNSOOK | 2467 | §103 | Non-Final OA | 15d | Pending | Jan 22, 2024 |
| 18417534 | Hyper-customized customer defined machine learning models | CHANG, TOM Y | 2455 | §103 | Non-Final OA | 9d overdue | Pending | Jan 19, 2024 |
| 18346411 | Application server protection by maintaining cross-session inspection context | ZHENG, BIN QING | 2499 | §103 | Non-Final OA | 9d | Pending | Jul 03, 2023 |
| 17341513 | Machine learning to determine domain reputation, content classification, phishing sites, and command and control sites | FEITL, LEAH M | 2147 | §103 | Non-Final OA | 27d | Pending | Jun 08, 2021 |
| 17131908 | Administrative policy override in microsegmentation | POPHAM, JEFFREY D | 2432 | §103 | Non-Final OA | 281d overdue | Pending | Dec 23, 2020 |
| 17079768 | Utilizing Machine Learning to detect malicious Office documents | FARAMARZI, GITA | 2496 | §103 | Final Rejection | 46d overdue | Pending | Oct 26, 2020 |
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