Prosecution Insights
Prosecution Insights
12 pending office actions • 1 client • 12 examiners • 11 art units • 0 of 12 (0%) have an AI response strategy ready • 31 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 12 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. 12 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 (25%) |
| §103 only | 9 (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 |
|---|---|---|---|
| PATEL, SHREYANS A | 1 | 88.9% | +7.7% |
| VIG, NARESH | 1 | 36.9% | +43.9% |
| BEKERMAN, MICHAEL | 1 | 32.8% | +32.0% |
| THEIN, MARIA TERESA T | 1 | 28.1% | +30.7% |
| CHEN, QING | 1 | 79.9% | +52.8% |
| CASTILLO-TORRES, KEISHA Y | 1 | 74.5% | +29.5% |
| SULTANA, NADIRA | 1 | 74.3% | +30.4% |
| OPSASNICK, MICHAEL N | 1 | 82.0% | +10.6% |
| LIU, CHIA-YI | 1 | 27.0% | +21.1% |
| SONIFRANK, RICHA MISHRA | 1 | 66.3% | +25.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18498988 | CONTRASTIVE IN-CONTEXT LEARNING FOR LARGE LANGUAGE MODELS | OPSASNICK, MICHAEL N | 23d overdue |
| 18767899 | END-TO-END AUTOMATED LARGE LANGUAGE MODEL EVALUATION AND DEPLOYMENT | PATEL, SHREYANS A | 8d overdue |
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 |
|---|---|---|---|
| 18633382 | VARIABLE PROCESSING WITH MACHINE LEARNING USAGE PREDICTION | THEIN, MARIA TERESA T | 35d overdue |
| 18496813 | AUTOMATED RECOMMENDATIONS FOR HIERARCHICAL DATA STRUCTURES | LIU, CHIA-YI | 9d |
| 17815552 | USING A MULTI-ARMED BANDIT APPROACH FOR BOOSTING CATEGORIZATION PERFORMANCE | SALMAN, AVIA ABDULSATTAR | 23d |
| 18674736 | PERSONALIZED CAMPAIGN GENERATION THROUGH DEEP CUSTOMER LEARNING | BEKERMAN, MICHAEL | 62d |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18633382 | VARIABLE PROCESSING WITH MACHINE LEARNING USAGE PREDICTION | THEIN, MARIA TERESA T | 35d overdue |
| 18498988 | CONTRASTIVE IN-CONTEXT LEARNING FOR LARGE LANGUAGE MODELS | OPSASNICK, MICHAEL N | 23d overdue |
| 18478867 | SYSTEMS AND METHODS FOR ANSWERING INQUIRIES USING VECTOR EMBEDDINGS AND LARGE LANGUAGE MODELS | SONIFRANK, RICHA MISHRA | 1d overdue |
| 18496813 | AUTOMATED RECOMMENDATIONS FOR HIERARCHICAL DATA STRUCTURES | LIU, CHIA-YI | 9d |
| 18614582 | LOGGING AND VISUALIZING EXECUTION FLOW IN AN LLM ENABLED USER QUERY APPLICATION | CHEN, QING | 22d |
| 18674732 | COLLABORATIVE COMPONENTS FRAMEWORK FOR CONTENT-BASED RECOMMENDATIONS SYSTEM | VIG, NARESH | 34d |
| 18412448 | AUTOMATIC INVOICE TEMPLATE GENERATION BASED ON INFORMATION EXTRACTED FROM INDIVIDUAL INVOICES | CASTILLO-TORRES, KEISHA Y | 41d |
| 18525545 | CONFIGURATION DRIVEN NATURAL LANGUAGE PROCESSING PIPELINE PROVISIONING | SULTANA, NADIRA | 56d |
| Client (Assignee) | Pending OAs |
|---|---|
| INTUIT INC. | 12 |
| Art Unit | Apps |
|---|---|
| 2659 | 2 |
| 3622 | 1 |
| 3621 | 1 |
| 3689 | 1 |
| 2191 | 1 |
| 2653 | 1 |
| 2658 | 1 |
| 3692 | 1 |
| 2654 | 1 |
| 2198 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18767899 | END-TO-END AUTOMATED LARGE LANGUAGE MODEL EVALUATION AND DEPLOYMENT | Intuit Inc. | PATEL, SHREYANS A | 2659 | §103 | Non-Final OA | 8d overdue | Pending | Jul 09, 2024 |
| 18674732 | COLLABORATIVE COMPONENTS FRAMEWORK FOR CONTENT-BASED RECOMMENDATIONS SYSTEM | Intuit Inc. | VIG, NARESH | 3622 | §103 | Non-Final OA | 34d | Pending | May 24, 2024 |
| 18674736 | PERSONALIZED CAMPAIGN GENERATION THROUGH DEEP CUSTOMER LEARNING | Intuit Inc. | BEKERMAN, MICHAEL | 3621 | §101 | Final Rejection | 62d | Pending | May 24, 2024 |
| 18633382 | VARIABLE PROCESSING WITH MACHINE LEARNING USAGE PREDICTION | Intuit Inc. | THEIN, MARIA TERESA T | 3689 | §103 | Non-Final OA | 35d overdue | Pending | Apr 11, 2024 |
| 18614582 | LOGGING AND VISUALIZING EXECUTION FLOW IN AN LLM ENABLED USER QUERY APPLICATION | Intuit Inc. | CHEN, QING | 2191 | §103 | Non-Final OA | 22d | Pending | Mar 22, 2024 |
| 18412448 | AUTOMATIC INVOICE TEMPLATE GENERATION BASED ON INFORMATION EXTRACTED FROM INDIVIDUAL INVOICES | Intuit Inc. | CASTILLO-TORRES, KEISHA Y | 2659 | §103 | Final Rejection | 41d | Pending | Jan 12, 2024 |
| 18525545 | CONFIGURATION DRIVEN NATURAL LANGUAGE PROCESSING PIPELINE PROVISIONING | Intuit Inc. | SULTANA, NADIRA | 2653 | §103 | Final Rejection | 56d | Pending | Nov 30, 2023 |
| 18498988 | CONTRASTIVE IN-CONTEXT LEARNING FOR LARGE LANGUAGE MODELS | Intuit Inc. | OPSASNICK, MICHAEL N | 2658 | §103 | Non-Final OA | 23d overdue | Pending | Oct 31, 2023 |
| 18496813 | AUTOMATED RECOMMENDATIONS FOR HIERARCHICAL DATA STRUCTURES | Intuit Inc. | LIU, CHIA-YI | 3692 | §101 | Non-Final OA | 9d | Pending | Oct 27, 2023 |
| 18478867 | SYSTEMS AND METHODS FOR ANSWERING INQUIRIES USING VECTOR EMBEDDINGS AND LARGE LANGUAGE MODELS | Intuit Inc. | SONIFRANK, RICHA MISHRA | 2654 | §103 | Non-Final OA | 1d overdue | Pending | Sep 29, 2023 |
| 18455595 | LARGE LANGUAGE MODEL AND DETERMINISTIC CALCULATOR SYSTEMS AND METHODS | Intuit Inc. | MUDRICK, TIMOTHY A | 2198 | §103 | Final Rejection | 47d | Pending | Aug 24, 2023 |
| 17815552 | USING A MULTI-ARMED BANDIT APPROACH FOR BOOSTING CATEGORIZATION PERFORMANCE | Intuit Inc. | SALMAN, AVIA ABDULSATTAR | 3627 | §101 | Non-Final OA | 23d | Pending | Jul 27, 2022 |
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