Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Lti Mindtree Ltd. currently manages 2 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed across 2 distinct examiners and 2 distinct art units, indicating a narrow but divided focus in the current prosecution cycle. This distribution suggests that each pending matter is being handled by a unique examiner, which may require distinct advocacy strategies for each application.
KOESTER, MICHAEL RICHARD is identified as the busiest examiner for this portfolio, currently overseeing 1 pending office action. With 2 distinct examiners involved in only 2 pending actions, the company faces a diverse set of examiner perspectives relative to its small pending volume. Practitioners should note that the workload is split evenly, with the busiest examiner, KOESTER, MICHAEL RICHARD, responsible for 1 of the 2 total pending actions.
The presence of 2 distinct art units for only 2 pending actions further highlights the specialized nature of the filings within the broader Transportation, E-Commerce & Mechanical Systems sector. This lack of concentration in a single art unit means the applicant cannot rely on a single set of art unit-specific precedents or norms across its pending portfolio. Effectively managing these matters requires a versatile approach to address the specific requirements of each distinct examiner.
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 | 1 (50%) |
| Multi-statute (no §101) | 1 (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 |
|---|---|---|---|
| KOESTER, MICHAEL RICHARD | 1 | 41.4% | +19.2% |
| NGUYEN, CAM LINH T | 1 | 83.9% | +13.4% |
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 |
|---|---|---|---|
| 19078678 | METHOD AND SYSTEM FOR PROCESSING ANALYTICAL QUERIES TO EXTRACT BUSINESS INSIGHTS AND SUPPORT DECISION-MAKING FROM ENTERPRISE DATA | KOESTER, MICHAEL RICHARD | — |
| 19062038 | METHOD AND SYSTEM FOR PROCESSING NATURAL LANGUAGE QUERIES FOR GENERATING ANALYTICAL INSIGHTS | NGUYEN, CAM LINH 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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19078678 | METHOD AND SYSTEM FOR PROCESSING ANALYTICAL QUERIES TO EXTRACT BUSINESS INSIGHTS AND SUPPORT DECISION-MAKING FROM ENTERPRISE DATA | KOESTER, MICHAEL RICHARD | — |
| 19062038 | METHOD AND SYSTEM FOR PROCESSING NATURAL LANGUAGE QUERIES FOR GENERATING ANALYTICAL INSIGHTS | NGUYEN, CAM LINH T | — |
| Art Unit | Apps |
|---|---|
| 3624 | 1 |
| 2161 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19078678 | METHOD AND SYSTEM FOR PROCESSING ANALYTICAL QUERIES TO EXTRACT BUSINESS INSIGHTS AND SUPPORT DECISION-MAKING FROM ENTERPRISE DATA | KOESTER, MICHAEL RICHARD | 3624 | §101§103 | Non-Final OA | — | Pending | Mar 13, 2025 |
| 19062038 | METHOD AND SYSTEM FOR PROCESSING NATURAL LANGUAGE QUERIES FOR GENERATING ANALYTICAL INSIGHTS | NGUYEN, CAM LINH T | 2161 | §102§103 | Final Rejection | — | Pending | Feb 25, 2025 |
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