Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 29 patents granted in the last 365 days
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 | 1 (25%) |
| §103 only | 3 (75%) |
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 |
|---|---|---|---|
| DORAISWAMY, RANJIT P | 1 | 63.0% | +44.1% |
| AGRAWAL, SHISHIR | 1 | 9.5% | +18.2% |
| PELTON, NATHANIEL R | 1 | 75.1% | +19.0% |
| RICHTER, KARA MARIE | 1 | 57.9% | +50.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18179398 | METHOD FOR OPTIMIZING WORKFLOW-BASED NEURAL NETWORK INCLUDING ATTENTION LAYER | AGRAWAL, SHISHIR | 72d |
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 |
|---|---|---|---|
| 18676534 | ARTIFICIAL INTELLIGENCE-BASED INFORMATION RETRIEVAL APPARATUS AND METHOD FOR GENERATING ANSWER TO QUERY | DORAISWAMY, RANJIT P | 6d |
| 18179398 | METHOD FOR OPTIMIZING WORKFLOW-BASED NEURAL NETWORK INCLUDING ATTENTION LAYER | AGRAWAL, SHISHIR | 72d |
| 18089878 | SYSTEM AND METHOD FOR ON-SITE DETERMINATION OF CHARGING CURRENT FOR A BATTERY | PELTON, NATHANIEL R | — |
| 17898956 | Systems and Methods for Time of Flight Measurement Implementing Threshold-Based Sampling for Waveform Digitizing | RICHTER, KARA MARIE | — |
| Art Unit | Apps |
|---|---|
| 2166 | 1 |
| 2123 | 1 |
| 2859 | 1 |
| 3645 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18676534 | ARTIFICIAL INTELLIGENCE-BASED INFORMATION RETRIEVAL APPARATUS AND METHOD FOR GENERATING ANSWER TO QUERY | DORAISWAMY, RANJIT P | 2166 | §103 | Final Rejection | 6d | Pending | May 29, 2024 |
| 18179398 | METHOD FOR OPTIMIZING WORKFLOW-BASED NEURAL NETWORK INCLUDING ATTENTION LAYER | AGRAWAL, SHISHIR | 2123 | §101§103§112 | Non-Final OA | 72d | Pending | Mar 07, 2023 |
| 18089878 | SYSTEM AND METHOD FOR ON-SITE DETERMINATION OF CHARGING CURRENT FOR A BATTERY | PELTON, NATHANIEL R | 2859 | §103 | Final Rejection | — | Pending | Dec 28, 2022 |
| 17898956 | Systems and Methods for Time of Flight Measurement Implementing Threshold-Based Sampling for Waveform Digitizing | RICHTER, KARA MARIE | 3645 | §103 | Final Rejection | — | Pending | Aug 30, 2022 |
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