Prosecution Insights
Prosecution Insights
Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
12 pending office actions • 1 client • 12 examiners • 8 art units • 0 of 12 (0%) have an AI response strategy ready • 26 patents granted in the last 365 days
DLA PIPER LLP US - INTUIT focuses on Communications. The firm has 21138 career applications and a resolved allowance rate of 84.42 percent. This profile has 10 pending office actions. The firm averages 3.69 office actions per allowance.
The 10 pending office actions for Intuit are part of the firm's 21138 career applications. The 84.42 percent allowance rate and 3.69 average office actions per allowance provide the prosecution context for these Communications matters.
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 | 1 (8%) |
| §101 + other | 7 (58%) |
| §103 only | 1 (8%) |
| Double-patenting only | 1 (8%) |
| Multi-statute (no §101) | 2 (17%) |
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 |
|---|---|---|---|
| CHAVEZ, RODRIGO A | 1 | 52.5% | +38.0% |
| AUGUSTINE, NICHOLAS | 1 | 72.7% | +28.2% |
| PATEL, SHREYANS A | 1 | 88.7% | +8.5% |
| BEKERMAN, MICHAEL | 1 | 32.5% | +31.1% |
| MANOHARAN, SHASHIDHAR SHANKAR | 1 | 80.0% | +33.3% |
| ABOUD, ABDULLAH KHALED | 1 | — | — |
| GEORGALAS, ANNE MARIE | 1 | 43.0% | +51.4% |
| SAX, STEVEN PAUL | 1 | 69.0% | +45.9% |
| LI, LIANG Y | 1 | 61.8% | +69.3% |
| ZARRINEH, SHAHRIAR | 1 | 77.3% | +6.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18633382 | VARIABLE PROCESSING WITH MACHINE LEARNING USAGE PREDICTION | GEORGALAS, ANNE MARIE | 35d overdue |
| 18767899 | END-TO-END AUTOMATED LARGE LANGUAGE MODEL EVALUATION AND DEPLOYMENT | PATEL, SHREYANS A | 8d overdue |
| 18674736 | PERSONALIZED CAMPAIGN GENERATION THROUGH DEEP CUSTOMER LEARNING | BEKERMAN, MICHAEL | 62d |
| 18932662 | SYSTEM AND METHOD FOR PERFORMING KEYWORD-ASSISTED SEMANTIC SEARCHING | CHAVEZ, RODRIGO A | — |
| 18926128 | ADAPTIVE USER INTERFACE GENERATION AND PROCESS MODIFICATION | AUGUSTINE, NICHOLAS | — |
| 18651668 | SYSTEMS AND METHODS FOR PERSONALIZED SUMMARIZATION TECHNIQUES USING RETRIEVAL AUGMENTED GENERATION | MANOHARAN, SHASHIDHAR SHANKAR | — |
| 18633387 | DECODING INVERTIBLE EMBEDDINGS FOR INSTRUCTION PROMPT OPTIMIZATION IN BLACKBOX LARGE LANGUAGE MODELS | ABOUD, ABDULLAH KHALED | — |
| 18611543 | AUTOMATED CORPUS TOOL GENERATOR FOR AGENTS | SAX, STEVEN PAUL | — |
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 |
|---|---|---|---|
| 18633382 | VARIABLE PROCESSING WITH MACHINE LEARNING USAGE PREDICTION | GEORGALAS, ANNE MARIE | 35d overdue |
| 18674736 | PERSONALIZED CAMPAIGN GENERATION THROUGH DEEP CUSTOMER LEARNING | BEKERMAN, MICHAEL | 62d |
| 18932662 | SYSTEM AND METHOD FOR PERFORMING KEYWORD-ASSISTED SEMANTIC SEARCHING | CHAVEZ, RODRIGO A | — |
| 18926128 | ADAPTIVE USER INTERFACE GENERATION AND PROCESS MODIFICATION | AUGUSTINE, NICHOLAS | — |
| 18651668 | SYSTEMS AND METHODS FOR PERSONALIZED SUMMARIZATION TECHNIQUES USING RETRIEVAL AUGMENTED GENERATION | MANOHARAN, SHASHIDHAR SHANKAR | — |
| 18611543 | AUTOMATED CORPUS TOOL GENERATOR FOR AGENTS | SAX, STEVEN PAUL | — |
| 18426226 | PRE-FILTERING FOR AN ARTIFICIAL INTELLEGENCE PIPELINE | LI, LIANG Y | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Intuit | 12 |
| Art Unit | Apps |
|---|---|
| 3689 | 2 |
| 2658 | 1 |
| 2178 | 1 |
| 2659 | 1 |
| 3621 | 1 |
| 2655 | 1 |
| 2496 | 1 |
| 2692 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18932662 | SYSTEM AND METHOD FOR PERFORMING KEYWORD-ASSISTED SEMANTIC SEARCHING | Intuit Inc. | CHAVEZ, RODRIGO A | 2658 | §102§103 | Non-Final OA | — | Pending | Oct 31, 2024 |
| 18926128 | ADAPTIVE USER INTERFACE GENERATION AND PROCESS MODIFICATION | Intuit Inc. | AUGUSTINE, NICHOLAS | 2178 | §101§102§103 | Non-Final OA | — | Pending | Oct 24, 2024 |
| 18767899 | END-TO-END AUTOMATED LARGE LANGUAGE MODEL EVALUATION AND DEPLOYMENT | Intuit Inc. | PATEL, SHREYANS A | 2659 | §101§103 | Final Rejection | 8d overdue | Pending | Jul 09, 2024 |
| 18674736 | PERSONALIZED CAMPAIGN GENERATION THROUGH DEEP CUSTOMER LEARNING | Intuit Inc. | BEKERMAN, MICHAEL | 3621 | §101 | Non-Final OA | 62d | Pending | May 24, 2024 |
| 18651668 | SYSTEMS AND METHODS FOR PERSONALIZED SUMMARIZATION TECHNIQUES USING RETRIEVAL AUGMENTED GENERATION | Intuit Inc. | MANOHARAN, SHASHIDHAR SHANKAR | 2655 | §101§103 | Final Rejection | — | Pending | Apr 30, 2024 |
| 18633387 | DECODING INVERTIBLE EMBEDDINGS FOR INSTRUCTION PROMPT OPTIMIZATION IN BLACKBOX LARGE LANGUAGE MODELS | Intuit Inc. | ABOUD, ABDULLAH KHALED | §101§103§112 | Non-Final OA | — | Pending | Apr 11, 2024 | |
| 18633382 | VARIABLE PROCESSING WITH MACHINE LEARNING USAGE PREDICTION | Intuit Inc. | GEORGALAS, ANNE MARIE | 3689 | §101§102§103§112 | Final Rejection | 35d overdue | Pending | Apr 11, 2024 |
| 18611543 | AUTOMATED CORPUS TOOL GENERATOR FOR AGENTS | Intuit Inc. | SAX, STEVEN PAUL | §102§103§112 | Non-Final OA | — | Pending | Mar 20, 2024 | |
| 18426226 | PRE-FILTERING FOR AN ARTIFICIAL INTELLEGENCE PIPELINE | Intuit Inc. | LI, LIANG Y | §101§103 | Non-Final OA | — | Pending | Jan 29, 2024 | |
| 18525333 | API SECURITY SENSITIVE FIELDS | Intuit Inc. | ZARRINEH, SHAHRIAR | 2496 | §103 | Non-Final OA | — | Pending | Nov 30, 2023 |
| 18493676 | SYSTEM AND METHOD FOR SPATIAL ENCODING AND FEATURE GENERATORS FOR ENHANCING INFORMATION EXTRACTION | Intuit Inc. | GAUTHIER, GERALD | 2692 | DP | Final Rejection | — | Pending | Oct 24, 2023 |
| 18450931 | SYSTEMS AND METHODS FOR GENERATING RECOMMENDATIONS USING CONTEXTUAL BANDIT MODELS WITH NON-LINEAR ORACLES | Intuit Inc. | KRINGEN, MICHELLE THERESE | 3689 | §101§102§103 | Non-Final OA | — | Pending | Aug 16, 2023 |
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