Prosecution Insights
Prosecution Insights
Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 6 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Calabrio Inc. has 7 pending office actions in the Communications technology area. These matters are being handled by 7 distinct examiners across 6 distinct art units. Paras D Shah is the busiest examiner for the company, overseeing 1 pending office action. The portfolio's workload is distributed, with each pending action assigned to a different examiner.
The presence of 6 distinct art units for 7 pending office actions indicates that the company's communications technology is being reviewed by several different specialized groups within the USPTO. Every one of the 7 distinct examiners is responsible for 1 pending office action, as shown by the busiest examiner count of 1. This distribution ensures that the company's applications are evaluated independently by a variety of examiners. The involvement of 6 distinct art units suggests a range of technical classifications within the active portfolio.
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 | 2 (29%) |
| §101 + other | 1 (14%) |
| §103 only | 4 (57%) |
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 |
|---|---|---|---|
| SHAH, PARAS D | 1 | 73.4% | +31.0% |
| NGUYEN, QUYNH H | 1 | 87.4% | +17.1% |
| GILLS, KURTIS | 1 | 57.9% | +29.2% |
| THOMAS-HOMESCU, ANNE L | 1 | 76.9% | +37.3% |
| WILLIS, AMANDA LYNN | 1 | 35.8% | +26.3% |
| LEE, PO HAN | 1 | 31.7% | +41.2% |
| MONIKANG, GEORGE C | 1 | 75.3% | +7.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19061868 | INTELLIGENT PHRASE DERIVATION GENERATION | SHAH, PARAS D | — |
| 19005542 | SEARCHING CALLS BASED ON CONTEXTUAL SIMILARITY AMONG CALLS | NGUYEN, QUYNH H | — |
| 18046469 | SYSTEMS AND METHODS FOR RAPPORT DETERMINATION | LEE, PO HAN | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18046890 | GENERATING SEARCH INSIGHT DATA | WILLIS, AMANDA LYNN | 28d |
| 18148741 | SYSTEM AND METHOD FOR OPTIMIZING LOCATION SCHEDULING ACROSS MULTIPLE WORK ENVIRONMENTS | GILLS, KURTIS | 63d |
| 18088494 | SYSTEMS AND METHODS FOR EVENT DRIVER DETECTION | THOMAS-HOMESCU, ANNE L | 65d |
| 19061868 | INTELLIGENT PHRASE DERIVATION GENERATION | SHAH, PARAS D | — |
| 19005542 | SEARCHING CALLS BASED ON CONTEXTUAL SIMILARITY AMONG CALLS | NGUYEN, QUYNH H | — |
| 18046469 | SYSTEMS AND METHODS FOR RAPPORT DETERMINATION | LEE, PO HAN | — |
| Art Unit | Apps |
|---|---|
| 2653 | 1 |
| 3624 | 1 |
| 2656 | 1 |
| 2156 | 1 |
| 3623 | 1 |
| 2692 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19061868 | INTELLIGENT PHRASE DERIVATION GENERATION | SHAH, PARAS D | 2653 | §101DP | Non-Final OA | — | Pending | Feb 24, 2025 |
| 19005542 | SEARCHING CALLS BASED ON CONTEXTUAL SIMILARITY AMONG CALLS | NGUYEN, QUYNH H | — | §101Other | Non-Final OA | — | Pending | Dec 30, 2024 |
| 18148741 | SYSTEM AND METHOD FOR OPTIMIZING LOCATION SCHEDULING ACROSS MULTIPLE WORK ENVIRONMENTS | GILLS, KURTIS | 3624 | §103 | Non-Final OA | 63d | Pending | Dec 30, 2022 |
| 18088494 | SYSTEMS AND METHODS FOR EVENT DRIVER DETECTION | THOMAS-HOMESCU, ANNE L | 2656 | §103 | Non-Final OA | 65d | Pending | Dec 23, 2022 |
| 18046890 | GENERATING SEARCH INSIGHT DATA | WILLIS, AMANDA LYNN | 2156 | §103 | Final Rejection | 28d | Pending | Oct 14, 2022 |
| 18046469 | SYSTEMS AND METHODS FOR RAPPORT DETERMINATION | LEE, PO HAN | 3623 | §101 | Non-Final OA | — | Pending | Oct 13, 2022 |
| 17549561 | ADVANCED SENTIMENT ANALYSIS | MONIKANG, GEORGE C | 2692 | §103 | Non-Final OA | 33d | Pending | Dec 13, 2021 |
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