7 pending office actions • 2 clients • 7 examiners • 6 art units • 0 of 7 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days
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 | 3 (43%) |
| §101 + other | 3 (43%) |
| §102 only | 1 (14%) |
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 |
|---|---|---|---|
| SHARMA, NEERAJ | 1 | 84.8% | +11.9% |
| GURSKI, AMANDA KAREN | 1 | 33.3% | +30.1% |
| FONSECA LOPEZ, FRANCINI ALVARENGA | 1 | 30.4% | +49.0% |
| WALTON, CHESIREE A | 1 | 30.2% | +29.4% |
| BICKHAM, DAWN MARIE | 1 | 42.9% | +66.4% |
| WOITACH, JOSEPH T | 1 | 50.0% | +27.5% |
| CHOI, PETER H | 1 | 26.1% | +18.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18292126 | METHOD AND SYSTEM FOR TRAINING CLASSIFIERS FOR USE IN A VOICE RECOGNITION ASSISTANCE SYSTEM | SHARMA, NEERAJ | 112d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18337895 | SYSTEM AND METHOD OF PREDICTING CATASTROPHIC INCIDENTS IN A SERVICE SYSTEM | GURSKI, AMANDA KAREN | 19d overdue |
| 17804895 | METHOD AND SYSTEM FOR PREDICTING MUTATIONS IN RIBONUCLEIC ACID STRAINS | BICKHAM, DAWN MARIE | 5d overdue |
| 18193330 | METHOD AND SYSTEM FOR PREDICTING DEMAND FOR SUPPLY CHAIN | WALTON, CHESIREE A | 22d |
| 18298640 | COMPUTER IMPLEMENTED METHOD AND SEQUENCE DESIGNING SYSTEM FOR DESIGNING CELL NUCLEOTIDE SEQUENCES | FONSECA LOPEZ, FRANCINI ALVARENGA | — |
| 17660259 | METHOD AND SYSTEM FOR SELECTING CANDIDATE DRUG COMPOUNDS THROUGH ARTIFICIAL INTELLIGENCE (AI)-BASED DRUG REPURPOSING | WOITACH, JOSEPH T | — |
| 17471630 | SYSTEM AND METHOD FOR DYNAMICALLY IDENTIFYING CHANGE IN CUSTOMER BEHAVIOUR AND PROVIDING APPROPRIATE PERSONALIZED RECOMMENDATIONS | CHOI, PETER H | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18292126 | METHOD AND SYSTEM FOR TRAINING CLASSIFIERS FOR USE IN A VOICE RECOGNITION ASSISTANCE SYSTEM | SHARMA, NEERAJ | 112d overdue |
| 18337895 | SYSTEM AND METHOD OF PREDICTING CATASTROPHIC INCIDENTS IN A SERVICE SYSTEM | GURSKI, AMANDA KAREN | 19d overdue |
| 17804895 | METHOD AND SYSTEM FOR PREDICTING MUTATIONS IN RIBONUCLEIC ACID STRAINS | BICKHAM, DAWN MARIE | 5d overdue |
| 18193330 | METHOD AND SYSTEM FOR PREDICTING DEMAND FOR SUPPLY CHAIN | WALTON, CHESIREE A | 22d |
| 18298640 | COMPUTER IMPLEMENTED METHOD AND SEQUENCE DESIGNING SYSTEM FOR DESIGNING CELL NUCLEOTIDE SEQUENCES | FONSECA LOPEZ, FRANCINI ALVARENGA | — |
| 17660259 | METHOD AND SYSTEM FOR SELECTING CANDIDATE DRUG COMPOUNDS THROUGH ARTIFICIAL INTELLIGENCE (AI)-BASED DRUG REPURPOSING | WOITACH, JOSEPH T | — |
| 17471630 | SYSTEM AND METHOD FOR DYNAMICALLY IDENTIFYING CHANGE IN CUSTOMER BEHAVIOUR AND PROVIDING APPROPRIATE PERSONALIZED RECOMMENDATIONS | CHOI, PETER H | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Wipro Limited | 6 |
| Samsung | 1 |
| Art Unit | Apps |
|---|---|
| 2659 | 1 |
| 3625 | 1 |
| 3624 | 1 |
| 1685 | 1 |
| 1687 | 1 |
| 3681 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18292126 | METHOD AND SYSTEM FOR TRAINING CLASSIFIERS FOR USE IN A VOICE RECOGNITION ASSISTANCE SYSTEM | Harman Connected Services, Inc. | SHARMA, NEERAJ | 2659 | §102 | Final Rejection | 112d overdue | Pending | Jan 25, 2024 |
| 18337895 | SYSTEM AND METHOD OF PREDICTING CATASTROPHIC INCIDENTS IN A SERVICE SYSTEM | Wipro Limited | GURSKI, AMANDA KAREN | 3625 | §101 | Final Rejection | 19d overdue | Pending | Jun 20, 2023 |
| 18298640 | COMPUTER IMPLEMENTED METHOD AND SEQUENCE DESIGNING SYSTEM FOR DESIGNING CELL NUCLEOTIDE SEQUENCES | Wipro Limited | FONSECA LOPEZ, FRANCINI ALVARENGA | §101§103§112 | Non-Final OA | — | Pending | Apr 11, 2023 | |
| 18193330 | METHOD AND SYSTEM FOR PREDICTING DEMAND FOR SUPPLY CHAIN | Wipro Limited | WALTON, CHESIREE A | 3624 | §101§102 | Final Rejection | 22d | Pending | Mar 30, 2023 |
| 17804895 | METHOD AND SYSTEM FOR PREDICTING MUTATIONS IN RIBONUCLEIC ACID STRAINS | Wipro Limited | BICKHAM, DAWN MARIE | 1685 | §101 | Final Rejection | 5d overdue | Pending | Jun 01, 2022 |
| 17660259 | METHOD AND SYSTEM FOR SELECTING CANDIDATE DRUG COMPOUNDS THROUGH ARTIFICIAL INTELLIGENCE (AI)-BASED DRUG REPURPOSING | Wipro Limited | WOITACH, JOSEPH T | 1687 | §101§103 | Non-Final OA | — | Pending | Apr 22, 2022 |
| 17471630 | SYSTEM AND METHOD FOR DYNAMICALLY IDENTIFYING CHANGE IN CUSTOMER BEHAVIOUR AND PROVIDING APPROPRIATE PERSONALIZED RECOMMENDATIONS | Wipro Limited | CHOI, PETER H | 3681 | §101 | Non-Final OA | — | Pending | Sep 10, 2021 |
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