Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 3 art units • 4 examiners • 0 of 5 (0%) have an AI response strategy ready
2hr Learning Inc. maintains 5 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These active matters are distributed among 4 distinct examiners. The portfolio is currently being examined across 3 distinct art units, which suggests that the company's innovations are concentrated within a few specialized technical groups at the patent office. This distribution requires managing several examiner relationships simultaneously to move the 5 pending office actions forward.
The busiest examiner for this portfolio is GEBREMICHAEL, BRUK A, who is managing 2 busiest examiner pending office actions. This individual handles a portion of the workload compared to the other distinct examiners. With 4 distinct examiners and 3 distinct art units involved, the prosecution environment is relatively compact. Practitioners can focus their efforts on the specific officials assigned to the active cases to resolve the matters currently on the docket.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 (40%) |
| §101 + other | 3 (60%) |
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 |
|---|---|---|---|
| GEBREMICHAEL, BRUK A | 2 | 22.1% | +23.4% |
| NGUYEN, CAM LINH T | 1 | 83.9% | +13.4% |
| DURAN, ARTHUR D | 1 | 15.8% | +23.6% |
| REFAI, SAM M | 1 | 34.9% | +7.4% |
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 |
|---|---|---|---|
| 19218320 | AUTOMATED EVALUATATION OF USER SUBJECT MATTER MASTERY STATUS BASED ON ONE OR MORE ACADEMIC STANDARDS | REFAI, SAM M | 35d |
| 19367651 | DETERMINING SEMANTIC AND GRAMMATICAL CORRECTNESS OF USER-EXPANDED SENTENCE USING INTEGRATED PROGRAMMATIC AND SPECIALIZED GUIDED AND CONSTRAINED ARTIFICIAL INTELLIGENCE | NGUYEN, CAM LINH T | — |
| 19218318 | SYSTEM AND METHOD TO TRACK MASTERY AND REWARD GAMIFICATION POINTS TO A USER ON AN ONLINE LEARNING PLATFORM | DURAN, ARTHUR D | — |
| 19177481 | Real-Time Prompt Generation Using an Artificial Intelligence (AI) Tutoring System | GEBREMICHAEL, BRUK A | — |
| 19177471 | Automated Evaluation and Feedback of Participant Online Testing | GEBREMICHAEL, BRUK A | — |
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 |
|---|---|---|---|
| 19367651 | DETERMINING SEMANTIC AND GRAMMATICAL CORRECTNESS OF USER-EXPANDED SENTENCE USING INTEGRATED PROGRAMMATIC AND SPECIALIZED GUIDED AND CONSTRAINED ARTIFICIAL INTELLIGENCE | NGUYEN, CAM LINH T | — |
| 19218318 | SYSTEM AND METHOD TO TRACK MASTERY AND REWARD GAMIFICATION POINTS TO A USER ON AN ONLINE LEARNING PLATFORM | DURAN, ARTHUR D | — |
| 19177481 | Real-Time Prompt Generation Using an Artificial Intelligence (AI) Tutoring System | GEBREMICHAEL, BRUK A | — |
| 19177471 | Automated Evaluation and Feedback of Participant Online Testing | GEBREMICHAEL, BRUK A | — |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 3622 | 1 |
| 3621 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19367651 | DETERMINING SEMANTIC AND GRAMMATICAL CORRECTNESS OF USER-EXPANDED SENTENCE USING INTEGRATED PROGRAMMATIC AND SPECIALIZED GUIDED AND CONSTRAINED ARTIFICIAL INTELLIGENCE | NGUYEN, CAM LINH T | 2161 | §101 | Non-Final OA | — | Pending | Oct 23, 2025 |
| 19218318 | SYSTEM AND METHOD TO TRACK MASTERY AND REWARD GAMIFICATION POINTS TO A USER ON AN ONLINE LEARNING PLATFORM | DURAN, ARTHUR D | 3622 | §101§103 | Non-Final OA | — | Pending | May 25, 2025 |
| 19218320 | AUTOMATED EVALUATATION OF USER SUBJECT MATTER MASTERY STATUS BASED ON ONE OR MORE ACADEMIC STANDARDS | REFAI, SAM M | 3621 | §101§103§112 | Non-Final OA | 35d | Pending | May 25, 2025 |
| 19177481 | Real-Time Prompt Generation Using an Artificial Intelligence (AI) Tutoring System | GEBREMICHAEL, BRUK A | — | §101§112 | Non-Final OA | — | Pending | Apr 11, 2025 |
| 19177471 | Automated Evaluation and Feedback of Participant Online Testing | GEBREMICHAEL, BRUK A | — | §101 | Non-Final OA | — | Pending | Apr 11, 2025 |
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