Prosecution Insights
Prosecution Insights
11 pending office actions • 8 art units • 10 examiners • 0 of 11 (0%) have an AI response strategy ready • 29 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 11 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. 11 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 |
|---|---|
| §103 only | 9 (82%) |
| §102 only | 2 (18%) |
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 |
|---|---|---|---|
| ARAQUE JR, GERARDO | 2 | 9.6% | +15.9% |
| LE, HUNG D | 1 | 90.2% | +6.1% |
| BROWN, LUIS A | 1 | 45.9% | +30.6% |
| JACOB, AJITH | 1 | 79.0% | +4.2% |
| LIE, ANGELA M | 1 | 76.8% | +8.0% |
| HAN, BYUNGKWON | 1 | 0.0% | +0.0% |
| HASTY, NICHOLAS | 1 | 51.3% | +32.4% |
| NGUYEN, CHAU T | 1 | 67.6% | +31.5% |
| RIVERA GONZALEZ, IVONNEMARY | 1 | 4.9% | +8.4% |
| FABER, DAVID | 1 | 51.5% | +36.7% |
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 |
|---|---|---|---|
| 19194434 | MACHINE LEARNED MODEL FOR CONTRACT GENERATION IN A DOCUMENT MANAGEMENT SYSTEM | LE, HUNG D | 39d |
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 |
|---|---|---|---|
| 17895427 | USING MACHINE LEARNING TO IDENTIFY LEGAL OBLIGATIONS IN A DOCUMENT MANAGEMENT SYSTEM | ARAQUE JR, GERARDO | 139d overdue |
| 17853639 | CREATING DOCUMENT WORKFLOWS USING CLOUD PLATFORM INDEPENDENT REPRESENTATION | RIVERA GONZALEZ, IVONNEMARY | 120d overdue |
| 18129194 | ARTIFICIAL INTELLIGENCE PLATFORM TO MANAGE A DOCUMENT COLLECTION | HAN, BYUNGKWON | 31d overdue |
| 17829293 | PREDICTIVE TEXT FOR CONTRACT GENERATION IN A DOCUMENT MANAGEMENT SYSTEM | ARAQUE JR, GERARDO | 22d |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17895427 | USING MACHINE LEARNING TO IDENTIFY LEGAL OBLIGATIONS IN A DOCUMENT MANAGEMENT SYSTEM | ARAQUE JR, GERARDO | 139d overdue |
| 18175915 | AGREEMENT ORCHESTRATION | HASTY, NICHOLAS | 31d overdue |
| 19093083 | AGREEMENT DOCUMENT EXECUTION BASED ON DOCUMENT MODEL IN A DOCUMENT MANAGEMENT SYSTEM | BROWN, LUIS A | 18d overdue |
| 18097009 | MACHINE LEARNING BASED PREDICTION OF DOCUMENT METADATA | NGUYEN, CHAU T | 14d |
| 17829293 | PREDICTIVE TEXT FOR CONTRACT GENERATION IN A DOCUMENT MANAGEMENT SYSTEM | ARAQUE JR, GERARDO | 22d |
| 17727710 | AUTOMATIC TEMPLATE GENERATION WITH INBUILT TEMPLATE LOGIC INTERFACE | FABER, DAVID | 55d |
| Art Unit | Apps |
|---|---|
| 2161 | 2 |
| 3626 | 2 |
| 3629 | 2 |
| 3992 | 1 |
| 2121 | 1 |
| 2141 | 1 |
| 2145 | 1 |
| 2172 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19194434 | MACHINE LEARNED MODEL FOR CONTRACT GENERATION IN A DOCUMENT MANAGEMENT SYSTEM | LE, HUNG D | 2161 | §102 | Non-Final OA | 39d | Pending | Apr 30, 2025 |
| 19093083 | AGREEMENT DOCUMENT EXECUTION BASED ON DOCUMENT MODEL IN A DOCUMENT MANAGEMENT SYSTEM | BROWN, LUIS A | 3626 | §103 | Non-Final OA | 18d overdue | Pending | Mar 27, 2025 |
| 18790997 | HIERARCHICAL COMPLIANCE ANALYSIS OF ELECTRONIC WORKING DOCUMENTS | JACOB, AJITH | 2161 | §103 | Non-Final OA | 16d overdue | Pending | Jul 31, 2024 |
| 18512524 | SYSTEMS AND METHODS FOR PERFORMANCE MONITORING | LIE, ANGELA M | 3992 | §103 | Non-Final OA | 87d overdue | Pending | Nov 17, 2023 |
| 18129194 | ARTIFICIAL INTELLIGENCE PLATFORM TO MANAGE A DOCUMENT COLLECTION | HAN, BYUNGKWON | 2121 | §103 | Non-Final OA | 31d overdue | Pending | Mar 31, 2023 |
| 18175915 | AGREEMENT ORCHESTRATION | HASTY, NICHOLAS | 2141 | §103 | Non-Final OA | 31d overdue | Pending | Feb 28, 2023 |
| 18097009 | MACHINE LEARNING BASED PREDICTION OF DOCUMENT METADATA | NGUYEN, CHAU T | 2145 | §103 | Non-Final OA | 14d | Pending | Jan 13, 2023 |
| 17895427 | USING MACHINE LEARNING TO IDENTIFY LEGAL OBLIGATIONS IN A DOCUMENT MANAGEMENT SYSTEM | ARAQUE JR, GERARDO | 3629 | §102 | Final Rejection | 139d overdue | Pending | Aug 25, 2022 |
| 17853639 | CREATING DOCUMENT WORKFLOWS USING CLOUD PLATFORM INDEPENDENT REPRESENTATION | RIVERA GONZALEZ, IVONNEMARY | 3626 | §103 | Non-Final OA | 120d overdue | Pending | Jun 29, 2022 |
| 17829293 | PREDICTIVE TEXT FOR CONTRACT GENERATION IN A DOCUMENT MANAGEMENT SYSTEM | ARAQUE JR, GERARDO | 3629 | §103 | Final Rejection | 22d | Pending | May 31, 2022 |
| 17727710 | AUTOMATIC TEMPLATE GENERATION WITH INBUILT TEMPLATE LOGIC INTERFACE | FABER, DAVID | 2172 | §103 | Non-Final OA | 55d | Pending | Apr 23, 2022 |
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