Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security • Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days
Architecture Technology Corporation manages a patent portfolio within the Computing & Software technology area, currently navigating 4 pending office actions. Compared to portfolios with 1 pending office action, this volume indicates a broader prosecution presence. The diversity of the portfolio is further established by the involvement of 4 distinct examiners and 4 distinct art units.
The 1 to 1 ratio between 4 pending office actions and 4 distinct examiners indicates that the workload is distributed across the USPTO. Each of the 4 pending office actions is being handled by a different individual, which prevents the portfolio from being dependent on a single examiner's perspective. This distribution across 4 distinct art units also suggests that the company's software innovations span multiple technical classifications.
The busiest examiner for this portfolio is WERNER, MARSHALL L, who is responsible for 1 pending office action. While WERNER, MARSHALL L is the busiest, the fact that they only hold 1 pending office action demonstrates that the portfolio's workload is balanced. This lack of concentration means that practitioners must tailor their arguments to 4 different sets of examiner preferences and art unit norms simultaneously.
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 + other | 2 (50%) |
| §103 only | 2 (50%) |
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 |
|---|---|---|---|
| WERNER, MARSHALL L | 1 | 66.1% | +40.7% |
| SCHEUNEMANN, RICHARD N | 1 | 6.3% | +8.3% |
| ELAHIAN, DANIEL | 1 | 74.4% | +52.4% |
| HONORE, EVEL NMN | 1 | 51.9% | +26.4% |
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 |
|---|---|---|---|
| 18066782 | ARTIFICIALLY INTELLIGENT WAREHOUSE MANAGEMENT SYSTEM | SCHEUNEMANN, RICHARD N | 1d overdue |
| 18317803 | GENERATING DATASETS FOR MACHINE LEARNING SYSTEMS | WERNER, MARSHALL L | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17931407 | SECURE SERVERLESS MULTI-FACTOR AUTHENTICATION | ELAHIAN, DANIEL | 12d |
| 17930634 | RESPONSE ABSTRACTION AND MODEL SIMPLIFICATION TO IDENTIFY INTERESTING DATA | HONORE, EVEL NMN | 13d |
| 18317803 | GENERATING DATASETS FOR MACHINE LEARNING SYSTEMS | WERNER, MARSHALL L | — |
| Art Unit | Apps |
|---|---|
| 2125 | 1 |
| 3624 | 1 |
| 2407 | 1 |
| 2142 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18317803 | GENERATING DATASETS FOR MACHINE LEARNING SYSTEMS | WERNER, MARSHALL L | 2125 | §101§103§112 | Final Rejection | — | Pending | May 15, 2023 |
| 18066782 | ARTIFICIALLY INTELLIGENT WAREHOUSE MANAGEMENT SYSTEM | SCHEUNEMANN, RICHARD N | 3624 | §101§103 | Final Rejection | 1d overdue | Pending | Dec 15, 2022 |
| 17931407 | SECURE SERVERLESS MULTI-FACTOR AUTHENTICATION | ELAHIAN, DANIEL | 2407 | §103 | Final Rejection | 12d | Pending | Sep 12, 2022 |
| 17930634 | RESPONSE ABSTRACTION AND MODEL SIMPLIFICATION TO IDENTIFY INTERESTING DATA | HONORE, EVEL NMN | 2142 | §103 | Final Rejection | 13d | Pending | Sep 08, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial