Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 11 patents granted in the last 365 days
Cambridge Mobile Telematics Inc. is currently managing 6 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These matters are distributed among 6 distinct examiners, which means that every active case is being reviewed by a different individual. This variety requires a broad prosecution strategy that can adapt to the specific preferences of multiple officials.
The company's filings are spread across 5 distinct art units, reflecting a diverse technical focus within the transportation and mechanical systems field. The busiest examiner for the portfolio is MORONEY, MICHAEL CORBETT, who is currently responsible for 1 pending office action. This indicates that the workload is evenly distributed, with the busiest official managing 1 pending office action.
For a patent practitioner, the presence of 5 distinct art units suggests a decentralized prosecution environment. Since MORONEY, MICHAEL CORBETT is only handling an active case, the firm must maintain multiple independent lines of communication with the USPTO. Success in the Transportation, E-Commerce & Mechanical Systems area will depend on successfully navigating these diverse examiner interactions.
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 | 1 (20%) |
| §101 + other | 3 (60%) |
| §103 only | 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 |
|---|---|---|---|
| MORONEY, MICHAEL CORBETT | 1 | 24.8% | +25.0% |
| AFRIN, NAZIA | 1 | 39.3% | +18.8% |
| COBB, MATTHEW | 1 | 72.9% | +35.2% |
| TROOST, AARON L | 1 | 74.7% | +10.5% |
| NGUYEN, TRI T | 1 | 67.3% | +15.8% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18939612 | DETERMINING PERSONALIZED DRIVER RISK | MORONEY, MICHAEL CORBETT | — |
| 18827185 | METHOD AND SYSTEM FOR MEASURING EXTRINSIC CRASH RISK | COBB, MATTHEW | — |
| 18071176 | SYSTEM AND METHOD FOR DETECTING RIDESHARING BEHAVIOR | TROOST, AARON L | — |
| 16375170 | VEHICLE CLASSIFICATION BASED ON TELEMATICS DATA | NGUYEN, TRI T | — |
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 |
|---|---|---|---|
| 18939612 | DETERMINING PERSONALIZED DRIVER RISK | MORONEY, MICHAEL CORBETT | — |
| 18902327 | METHODS AND SYSTEMS FOR USING CURRENT AND HISTORICAL DRIVING DATA TO DETECT CRASHES | AFRIN, NAZIA | — |
| 18827185 | METHOD AND SYSTEM FOR MEASURING EXTRINSIC CRASH RISK | COBB, MATTHEW | — |
| 18071176 | SYSTEM AND METHOD FOR DETECTING RIDESHARING BEHAVIOR | TROOST, AARON L | — |
| 16375170 | VEHICLE CLASSIFICATION BASED ON TELEMATICS DATA | NGUYEN, TRI T | — |
| Art Unit | Apps |
|---|---|
| 3666 | 2 |
| 3626 | 1 |
| 3661 | 1 |
| 2128 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18939612 | DETERMINING PERSONALIZED DRIVER RISK | MORONEY, MICHAEL CORBETT | 3626 | §101§103 | Final Rejection | — | Pending | Nov 07, 2024 |
| 18902327 | METHODS AND SYSTEMS FOR USING CURRENT AND HISTORICAL DRIVING DATA TO DETECT CRASHES | AFRIN, NAZIA | 3666 | §103 | Final Rejection | — | Pending | Sep 30, 2024 |
| 18827185 | METHOD AND SYSTEM FOR MEASURING EXTRINSIC CRASH RISK | COBB, MATTHEW | 3661 | §101§103 | Final Rejection | — | Pending | Sep 06, 2024 |
| 18071176 | SYSTEM AND METHOD FOR DETECTING RIDESHARING BEHAVIOR | TROOST, AARON L | 3666 | §101 | Non-Final OA | — | Pending | Nov 29, 2022 |
| 16375170 | VEHICLE CLASSIFICATION BASED ON TELEMATICS DATA | NGUYEN, TRI T | 2128 | §101§103 | Final Rejection | — | Pending | Apr 04, 2019 |
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