Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
8 pending office actions • 6 art units • 7 examiners • 0 of 8 (0%) have an AI response strategy ready • 14 patents granted in the last 365 days
Kpmg LLP has 8 pending office actions in Transportation, E-Commerce & Mechanical Systems. Those matters involve 7 distinct examiners and 6 distinct art units, indicating a broad prosecution footprint across the technology area. The difference between the pending-action total and the examiner and art-unit totals means some assignments contain more than one pending matter.
TSAI, JAMES T is the busiest examiner listed, with 2 pending matters. That concentration is limited within the overall profile, so counsel should combine examiner-specific preparation with coordinated portfolio review. Tracking recurring objections, amendment positions, and art-unit treatment can improve consistency without assuming that every matter will proceed under the same examination approach.
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 | 2 (25%) |
| §101 + other | 5 (62%) |
| §103 only | 1 (12%) |
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 |
|---|---|---|---|
| TSAI, JAMES T | 2 | 63.5% | +56.9% |
| CHOY, PAN G | 1 | 24.5% | +35.0% |
| GUNN, JEREMY L | 1 | 30.1% | +45.8% |
| EL-HAGE HASSAN, ABDALLAH A | 1 | 43.2% | +40.5% |
| TIEDEMAN, JASON S | 1 | 28.5% | +34.9% |
| PRESTON, JOHN O | 1 | 28.4% | +7.7% |
| FU, HAO | 1 | 49.9% | +24.8% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17229562 | SYSTEM AND METHOD FOR INTELLIGENT REVIEW, PROCESSING AND REPORTING OF FINANCIAL DATA | FU, HAO | 4d overdue |
| 17895825 | SYSTEM AND METHOD FOR IMPLEMENTING A RESEARCH AND DEVELOPMENT TAX CREDIT TOOL | PRESTON, JOHN O | 22d |
| 18736202 | SYSTEM AND METHOD FOR ASSESSING AND PLANNING A PROJECT | GUNN, JEREMY L | 55d |
| 18946394 | SYSTEM AND METHOD FOR IMPLEMENTING A GENERATIVE AI RAPID ASSESSMENT TOOL | CHOY, PAN G | — |
| 18588541 | SYSTEM AND METHOD FOR IMPLEMENTING A DATA ANALYSIS SUBSTANTIVE PROCEDURE FOR REVENUE TRANSACTIONS | EL-HAGE HASSAN, ABDALLAH A | — |
| 18511699 | SYSTEM AND METHOD FOR DETERMINING PATIENT ACCESS IN A HEALTHCARE FACILITY | TIEDEMAN, JASON S | — |
| 18477817 | ARTIFICIAL INTELLIGENCE ENHANCED KNOWLEDGE FRAMEWORK | TSAI, JAMES T | — |
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 |
|---|---|---|---|
| 18116176 | UNIVERSAL ASSESSMENT SYSTEM | TSAI, JAMES T | 32d overdue |
| 17229562 | SYSTEM AND METHOD FOR INTELLIGENT REVIEW, PROCESSING AND REPORTING OF FINANCIAL DATA | FU, HAO | 4d overdue |
| 18736202 | SYSTEM AND METHOD FOR ASSESSING AND PLANNING A PROJECT | GUNN, JEREMY L | 55d |
| 18946394 | SYSTEM AND METHOD FOR IMPLEMENTING A GENERATIVE AI RAPID ASSESSMENT TOOL | CHOY, PAN G | — |
| 18588541 | SYSTEM AND METHOD FOR IMPLEMENTING A DATA ANALYSIS SUBSTANTIVE PROCEDURE FOR REVENUE TRANSACTIONS | EL-HAGE HASSAN, ABDALLAH A | — |
| 18511699 | SYSTEM AND METHOD FOR DETERMINING PATIENT ACCESS IN A HEALTHCARE FACILITY | TIEDEMAN, JASON S | — |
| 18477817 | ARTIFICIAL INTELLIGENCE ENHANCED KNOWLEDGE FRAMEWORK | TSAI, JAMES T | — |
| Art Unit | Apps |
|---|---|
| 3624 | 2 |
| 2147 | 2 |
| 3623 | 1 |
| 3683 | 1 |
| 3693 | 1 |
| 3695 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18946394 | SYSTEM AND METHOD FOR IMPLEMENTING A GENERATIVE AI RAPID ASSESSMENT TOOL | CHOY, PAN G | 3624 | §101§103§112 | Final Rejection | — | Pending | Nov 13, 2024 |
| 18736202 | SYSTEM AND METHOD FOR ASSESSING AND PLANNING A PROJECT | GUNN, JEREMY L | 3624 | §101§102§103 | Non-Final OA | 55d | Pending | Jun 06, 2024 |
| 18588541 | SYSTEM AND METHOD FOR IMPLEMENTING A DATA ANALYSIS SUBSTANTIVE PROCEDURE FOR REVENUE TRANSACTIONS | EL-HAGE HASSAN, ABDALLAH A | 3623 | §101 | Non-Final OA | — | Pending | Feb 27, 2024 |
| 18511699 | SYSTEM AND METHOD FOR DETERMINING PATIENT ACCESS IN A HEALTHCARE FACILITY | TIEDEMAN, JASON S | 3683 | §101 | Non-Final OA | — | Pending | Nov 16, 2023 |
| 18477817 | ARTIFICIAL INTELLIGENCE ENHANCED KNOWLEDGE FRAMEWORK | TSAI, JAMES T | 2147 | §101§103§112 | Non-Final OA | — | Pending | Sep 29, 2023 |
| 18116176 | UNIVERSAL ASSESSMENT SYSTEM | TSAI, JAMES T | 2147 | §103 | Non-Final OA | 32d overdue | Pending | Mar 01, 2023 |
| 17895825 | SYSTEM AND METHOD FOR IMPLEMENTING A RESEARCH AND DEVELOPMENT TAX CREDIT TOOL | PRESTON, JOHN O | 3693 | §101§112 | Final Rejection | 22d | Pending | Aug 25, 2022 |
| 17229562 | SYSTEM AND METHOD FOR INTELLIGENT REVIEW, PROCESSING AND REPORTING OF FINANCIAL DATA | FU, HAO | 3695 | §101§103 | Non-Final OA | 4d overdue | Pending | Apr 13, 2021 |
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Start Free TrialKpmg LLP has 8 pending office actions as of October 2026, spread across 6 art units and 7 examiners.
James T Tsai has the most, with 2 of Kpmg LLP's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
