Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • 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
Mckinsey & Company Inc. currently has 4 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These 4 actions are spread across 4 distinct examiners and several different art units. This distribution means that every pending action is being handled by a different examiner in a unique environment.
PATEL, SHERYL GOPAL is the busiest examiner for the company, with 1 pending office action. With 4 pending office actions in total, the action assigned to PATEL, SHERYL GOPAL represents a portion of the current portfolio activity. The fact that 4 distinct art units are involved for the pending actions highlights the diverse nature of the e-commerce and mechanical systems being patented by the company. This decentralized approach ensures that the company's intellectual property is evaluated by a broad range of technical experts.
Based on the USPTO statutory response window for each pending office action. 2 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 + other | 4 (100%) |
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 |
|---|---|---|---|
| PATEL, SHERYL GOPAL | 1 | 10.7% | +14.4% |
| NEWTON, CHAD A | 1 | 37.6% | +23.2% |
| VELEZ-LOPEZ, MARIO M | 1 | 74.6% | +4.9% |
| WONG, LUT | 1 | 77.3% | +14.1% |
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 |
|---|---|---|---|
| 18612790 | Machine Learning Platform for Predictive Malady Treatment | PATEL, SHERYL GOPAL | 36d overdue |
| 18241511 | SYSTEMS AND METHODS FOR MEDICAL PATIENT CLASSIFICATION | NEWTON, CHAD A | 12d |
| 18458759 | METHOD TO OPTIMISE HEAT INTEGRATION IN INDUSTRY | VELEZ-LOPEZ, MARIO M | — |
| 18104743 | AUTOMATED CLOUD DATA AND TECHNOLOGY SOLUTION DELIVERY USING DYNAMIC MINIBOT SQUAD ENGINE MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE MODELING | WONG, LUT | — |
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 |
|---|---|---|---|
| 18612790 | Machine Learning Platform for Predictive Malady Treatment | PATEL, SHERYL GOPAL | 36d overdue |
| 18241511 | SYSTEMS AND METHODS FOR MEDICAL PATIENT CLASSIFICATION | NEWTON, CHAD A | 12d |
| 18104743 | AUTOMATED CLOUD DATA AND TECHNOLOGY SOLUTION DELIVERY USING DYNAMIC MINIBOT SQUAD ENGINE MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE MODELING | WONG, LUT | — |
| Art Unit | Apps |
|---|---|
| 3685 | 1 |
| 3681 | 1 |
| 2118 | 1 |
| 2127 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18612790 | Machine Learning Platform for Predictive Malady Treatment | PATEL, SHERYL GOPAL | 3685 | §101§102§103 | Non-Final OA | 36d overdue | Pending | Mar 21, 2024 |
| 18241511 | SYSTEMS AND METHODS FOR MEDICAL PATIENT CLASSIFICATION | NEWTON, CHAD A | 3681 | §101§103 | Final Rejection | 12d | Pending | Sep 01, 2023 |
| 18458759 | METHOD TO OPTIMISE HEAT INTEGRATION IN INDUSTRY | VELEZ-LOPEZ, MARIO M | 2118 | §101§103 | Non-Final OA | — | Pending | Aug 30, 2023 |
| 18104743 | AUTOMATED CLOUD DATA AND TECHNOLOGY SOLUTION DELIVERY USING DYNAMIC MINIBOT SQUAD ENGINE MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE MODELING | WONG, LUT | 2127 | §101§102§103 | Non-Final OA | — | Pending | Feb 01, 2023 |
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