Prosecution Insights
Prosecution Insights
Technology area: Networking & Security
5 pending office actions • 2 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 50 patents granted in the last 365 days
Rapid7 Inc. has 5 pending office actions in the Networking & Security technology area. These actions are located in 2 distinct art units. This concentration in only 2 art units for 5 actions suggests that the company's current filings are focused on a narrow set of technical challenges within the security field.
There are 5 distinct examiners assigned to these actions. SHAIFER HARRIMAN, DANT B is the busiest examiner with 1 pending action. This results in a ratio of 1 examiner per action where each of the 5 pending actions is being handled by a different examiner. This distribution ensures that no single examiner has a dominant influence over the company's current pending workload.
With 5 pending actions and 5 examiners across 2 art units, the company has a distributed prosecution front despite the small number of actions. For a practitioner, this means that each of the 5 actions must be managed independently, as there is no examiner overlap to provide consistency. The 2 art units involved will likely provide the most significant common ground for these 5 pending office actions.
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 | 2 (40%) |
| Double-patenting only | 2 (40%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| SHAIFER HARRIMAN, DANT B | 1 | 81.0% | +17.5% |
| GEE, JASON KAI YIN | 1 | 77.5% | +23.7% |
| PEARSON, DAVID J | 1 | 78.1% | +11.8% |
| LEE, MICHAEL M | 1 | 84.2% | +37.5% |
| KOBROSLI, SHADI HASSAN | 1 | 71.1% | +36.9% |
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 |
|---|---|---|---|
| 18940572 | TECHNIQUES FOR CHRONOLOGICAL VULNERABILITY EVENT RECOGNITION | LEE, MICHAEL M | — |
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 |
|---|---|---|---|
| 19271704 | TECHNIQUES FOR DETECTING CYBERATTACKS ON AN AUTHENTICATION SYSTEM | SHAIFER HARRIMAN, DANT B | — |
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 |
|---|---|---|---|
| 19271704 | TECHNIQUES FOR DETECTING CYBERATTACKS ON AN AUTHENTICATION SYSTEM | SHAIFER HARRIMAN, DANT B | — |
| 19198572 | VISUAL EXPLORATION FOR EFFICIENT ACCESS ANALYSIS FOR CLOUD PROVIDER ENTITIES | GEE, JASON KAI YIN | — |
| 19093915 | USED CACHED SUMMARIES FOR EFFICIENT ACCESS ANALYSIS FOR CLOUD PROVIDER ENTITIES | PEARSON, DAVID J | — |
| 18940572 | TECHNIQUES FOR CHRONOLOGICAL VULNERABILITY EVENT RECOGNITION | LEE, MICHAEL M | — |
| 18129802 | MACHINE LEARNING TECHNIQUES FOR UPDATING CONFIGURATION OF A COMPUTER NETWORK SECURITY SYSTEM | KOBROSLI, SHADI HASSAN | — |
| Art Unit | Apps |
|---|---|
| 2436 | 1 |
| 2492 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19271704 | TECHNIQUES FOR DETECTING CYBERATTACKS ON AN AUTHENTICATION SYSTEM | SHAIFER HARRIMAN, DANT B | — | §102§103 | Non-Final OA | — | Pending | Jul 16, 2025 |
| 19198572 | VISUAL EXPLORATION FOR EFFICIENT ACCESS ANALYSIS FOR CLOUD PROVIDER ENTITIES | GEE, JASON KAI YIN | — | DP | Non-Final OA | — | Pending | May 05, 2025 |
| 19093915 | USED CACHED SUMMARIES FOR EFFICIENT ACCESS ANALYSIS FOR CLOUD PROVIDER ENTITIES | PEARSON, DAVID J | — | DP | Non-Final OA | — | Pending | Mar 28, 2025 |
| 18940572 | TECHNIQUES FOR CHRONOLOGICAL VULNERABILITY EVENT RECOGNITION | LEE, MICHAEL M | 2436 | §103 | Final Rejection | — | Pending | Nov 07, 2024 |
| 18129802 | MACHINE LEARNING TECHNIQUES FOR UPDATING CONFIGURATION OF A COMPUTER NETWORK SECURITY SYSTEM | KOBROSLI, SHADI HASSAN | 2492 | §103 | Final Rejection | — | Pending | Mar 31, 2023 |
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