Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Communications • Transportation, E-Commerce & Mechanical Systems
11 pending office actions • 3 clients • 11 examiners • 9 art units • 0 of 11 (0%) have an AI response strategy ready • 46 patents granted in the last 365 days
Dinsmore & Shohl LLP - Intuit handles Computing & Software matters. The firm has 34859 career applications and an 85.4 percent resolved allowance rate. This specific client profile currently has 12 pending office actions. The firm averages 3.06 office actions per allowance.
The 12 pending office actions are a subset of the 34859 career applications. The 85.4 percent allowance rate and 3.06 average office actions per allowance characterize the firm's prosecution history in the Computing & Software sector.
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 only | 3 (27%) |
| §101 + other | 5 (45%) |
| §103 only | 2 (18%) |
| Multi-statute (no §101) | 1 (9%) |
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 |
|---|---|---|---|
| CIRNU, ALEXANDRU | 1 | 42.7% | +21.3% |
| SERRAGUARD, SEAN ERIN | 1 | 69.1% | +34.1% |
| MORRISON, JAY A | 1 | 81.0% | +23.3% |
| DAYE, CHELCIE L | 1 | 76.6% | +16.0% |
| UNDERWOOD, BAKARI | 1 | 68.1% | +17.9% |
| SHAIKH, ZEESHAN MAHMOOD | 1 | 58.7% | +44.3% |
| VINCENT, DAVID ROBERT | 1 | 80.4% | +4.0% |
| ANNIS, PETER THOMAS | 1 | — | — |
| COLEMAN, PAUL | 1 | 65.4% | +47.4% |
| PENG, STEVEN | 1 | — | — |
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 |
|---|---|---|---|
| 18763842 | SYSTEM AND METHOD FOR TRIP CLASSIFICATION | UNDERWOOD, BAKARI | 5d |
| 18744434 | SMART DISPATCHER IN A COMPOSITE ARTIFICIAL INTELLIGENCE (AI) SYSTEM | SHAIKH, ZEESHAN MAHMOOD | 9d |
| 19372179 | ARTIFICIAL INTELLIGENCE-BASED METHODS AND SYSTEMS FOR GENERATING RESPONSES, RATINGS, AND FEEDBACK OF SOCIAL MEDIA MARKETING CAMPAIGNS | CIRNU, ALEXANDRU | — |
| 18930938 | SYNTHETIC KNOWLEDGE INGESTION FOR ENHANCING LARGE LANGUAGE MODEL PERFORMANCE | SERRAGUARD, SEAN ERIN | — |
| 18791185 | ADAPTIVE INFORMATION RETRIEVAL UTILIZING SEMANTIC AND LEXICAL SCORING | MORRISON, JAY A | — |
| 18592377 | ASSISTIVE GENERATIVE AI-BASED RESPONSES | VINCENT, DAVID ROBERT | — |
| 18497884 | AUTOMIZED GENERATION OF INSIGHTFUL AND CONFIDENT DATA INSIGHTS | ANNIS, PETER THOMAS | — |
| 18495172 | WORKFLOW ASSISTANT WITH GENERATIVE ARTIFICIAL INTELLIGENCE | PENG, STEVEN | — |
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 |
|---|---|---|---|
| 18763842 | SYSTEM AND METHOD FOR TRIP CLASSIFICATION | UNDERWOOD, BAKARI | 5d |
| 18744434 | SMART DISPATCHER IN A COMPOSITE ARTIFICIAL INTELLIGENCE (AI) SYSTEM | SHAIKH, ZEESHAN MAHMOOD | 9d |
| 19372179 | ARTIFICIAL INTELLIGENCE-BASED METHODS AND SYSTEMS FOR GENERATING RESPONSES, RATINGS, AND FEEDBACK OF SOCIAL MEDIA MARKETING CAMPAIGNS | CIRNU, ALEXANDRU | — |
| 18930938 | SYNTHETIC KNOWLEDGE INGESTION FOR ENHANCING LARGE LANGUAGE MODEL PERFORMANCE | SERRAGUARD, SEAN ERIN | — |
| 18791185 | ADAPTIVE INFORMATION RETRIEVAL UTILIZING SEMANTIC AND LEXICAL SCORING | MORRISON, JAY A | — |
| 18782876 | CONTEXT-AWARE INFORMATION RETRIEVAL | DAYE, CHELCIE L | — |
| 18496496 | DOMAIN-SPECIFIC PROMPT PROCESSING AND ANSWERING VIA LARGE LANGUAGE MODELS AND ARTIFICIAL INTELLIGENCE PLANNERS | COLEMAN, PAUL | — |
| Client (Assignee) | Pending OAs |
|---|---|
| INTUIT INC. | 7 |
| Intuit | 3 |
| Credit Karma | 1 |
| Art Unit | Apps |
|---|---|
| 4100 | 2 |
| 3622 | 1 |
| 2657 | 1 |
| 2151 | 1 |
| 2161 | 1 |
| 3663 | 1 |
| 2658 | 1 |
| 2125 | 1 |
| 2146 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19372179 | ARTIFICIAL INTELLIGENCE-BASED METHODS AND SYSTEMS FOR GENERATING RESPONSES, RATINGS, AND FEEDBACK OF SOCIAL MEDIA MARKETING CAMPAIGNS | Intuit Inc. | CIRNU, ALEXANDRU | 3622 | §101 | Non-Final OA | — | Pending | Oct 28, 2025 |
| 18930938 | SYNTHETIC KNOWLEDGE INGESTION FOR ENHANCING LARGE LANGUAGE MODEL PERFORMANCE | Intuit Inc. | SERRAGUARD, SEAN ERIN | 2657 | §102§103 | Non-Final OA | — | Pending | Oct 29, 2024 |
| 18791185 | ADAPTIVE INFORMATION RETRIEVAL UTILIZING SEMANTIC AND LEXICAL SCORING | Intuit Inc. | MORRISON, JAY A | 2151 | §101 | Final Rejection | — | Pending | Jul 31, 2024 |
| 18782876 | CONTEXT-AWARE INFORMATION RETRIEVAL | Intuit, Inc. | DAYE, CHELCIE L | 2161 | §103 | Final Rejection | — | Pending | Jul 24, 2024 |
| 18763842 | SYSTEM AND METHOD FOR TRIP CLASSIFICATION | Credit Karma, LLC | UNDERWOOD, BAKARI | 3663 | §101§102DP | Non-Final OA | 5d | Pending | Jul 03, 2024 |
| 18744434 | SMART DISPATCHER IN A COMPOSITE ARTIFICIAL INTELLIGENCE (AI) SYSTEM | Intuit, Inc. | SHAIKH, ZEESHAN MAHMOOD | 2658 | §101§103 | Final Rejection | 9d | Pending | Jun 14, 2024 |
| 18592377 | ASSISTIVE GENERATIVE AI-BASED RESPONSES | Intuit, Inc. | VINCENT, DAVID ROBERT | §101 | Non-Final OA | — | Pending | Feb 29, 2024 | |
| 18497884 | AUTOMIZED GENERATION OF INSIGHTFUL AND CONFIDENT DATA INSIGHTS | Intuit, Inc. | ANNIS, PETER THOMAS | 4100 | §101§102§103 | Non-Final OA | — | Pending | Oct 30, 2023 |
| 18496496 | DOMAIN-SPECIFIC PROMPT PROCESSING AND ANSWERING VIA LARGE LANGUAGE MODELS AND ARTIFICIAL INTELLIGENCE PLANNERS | Intuit, Inc. | COLEMAN, PAUL | 4100 | §103 | Non-Final OA | — | Pending | Oct 27, 2023 |
| 18495172 | WORKFLOW ASSISTANT WITH GENERATIVE ARTIFICIAL INTELLIGENCE | Intuit, Inc. | PENG, STEVEN | 2125 | §101§102§103 | Non-Final OA | — | Pending | Oct 26, 2023 |
| 18372660 | EXPERT FEEDBACK LOOP FOR RESOLVING AMBIGUITY | Intuit, Inc. | ROY, SANCHITA | 2146 | §101§102§103§112 | Non-Final OA | — | Pending | Sep 25, 2023 |
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