Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
15 pending office actions • 8 art units • 15 examiners • 0 of 15 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Teachers Insurance And Annuity Association Of America currently manages 15 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These 15 actions are distributed across 15 distinct examiners, which means that every single pending matter is being reviewed by a different individual. The 8 distinct art units involved indicate that the company's intellectual property spans several specialized examination groups, requiring a strategy that accounts for different procedural nuances within the patent office.
Among the active personnel, Getachew, Wodajo is identified as the busiest examiner, currently overseeing 1 of the pending office actions. This assignment of 1 action to each examiner, including Getachew, Wodajo, highlights a completely decentralized prosecution environment for the portfolio. For a practitioner, the presence of 15 pending office actions across 8 distinct art units necessitates a versatile approach to prosecution, as each unit may apply different interpretations of Transportation, E-Commerce & Mechanical Systems guidelines.
The fact that 15 distinct examiners are handling 15 pending office actions implies that no institutional knowledge gained from one prosecution will carry over to others through examiner overlap. This lack of overlap, where Getachew, Wodajo and all other examiners manage only 1 pending action, means that individual examiner preferences will dictate the outcome of every case. Consequently, the 15 pending office actions represent a fragmented landscape where practitioners must engage with 15 different individuals across 8 distinct art units.
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 | 3 (20%) |
| §101 + other | 4 (27%) |
| §103 only | 5 (33%) |
| §112 only | 1 (7%) |
| Multi-statute (no §101) | 2 (13%) |
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 |
|---|---|---|---|
| GETACHEW, WODAJO | 1 | 40.8% | +38.6% |
| MILLER, JAMES H | 1 | 40.9% | +36.5% |
| SINGLETARY, TYRONE E | 1 | 30.4% | +28.2% |
| TORRES CHANZA, GABRIEL JOSE | 1 | 10.0% | -14.3% |
| MACASIANO, JOANNE GONZALES | 1 | 67.2% | +41.8% |
| KANAAN, TONY P | 1 | 28.7% | +27.9% |
| HOANG, HIEU T | 1 | 80.9% | +16.3% |
| TRUONG, LAN DAI T | 1 | 91.2% | +11.5% |
| PHAM, JESSICA THUY | 1 | 18.2% | +90.0% |
| KING, DAVIDA LEE | 1 | 35.6% | +36.4% |
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 |
|---|---|---|---|
| 18637972 | TECHNIQUES FOR PROVIDING ARTIFICIAL INTELLIGENCE MEDIATED CURATION OF ACCESS AND CONTENT WITHIN A CYBER THREAT INTELLIGENCE PLATFORM | TRUONG, LAN DAI T | — |
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 |
|---|---|---|---|
| 18243714 | RECOMMENDATION SYSTEMS INTEGRATING EXTENDED REALITY TO GENERATE PERSONALIZED RECOMMENDATIONS | SANTIAGO-MERCED, FRANCIS Z | 29d |
| 19574205 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE - BLOCKCHAIN RETIREMENT ACCOUNT MANAGEMENT | GETACHEW, WODAJO | — |
| 19262651 | MANAGING INCOME STREAMS USING A DISTRIBUTED LEDGER AND SOULBOUND TOKENS | MILLER, JAMES H | — |
| 18952523 | SYSTEMS AND METHODS FOR TECHNICAL DEBT RISK MANAGEMENT USING ARTIFICIAL INTELLIGENCE | TORRES CHANZA, GABRIEL JOSE | — |
| 18765022 | SYSTEMS AND METHODS TO IDENTIFY FRICTION EVENTS DURING AN ELECTRONIC JOURNEY OF A CUSTOMER OF A BUSINESS | KANAAN, TONY P | — |
| 18643720 | TECHNIQUES FOR LEVERAGING PROOF-OF-CONTRIBUTION ON A DISTRIBUTED CYBER THREAT INTELLIGENCE PLATFORM | HOANG, HIEU T | — |
| 18404155 | SYSTEMS AND METHODS FOR RESPONSIBLE ARTIFICIAL INTELLIGENCE | PHAM, JESSICA THUY | — |
| 18392059 | DYNAMICALLY MAPPING APPLICATION PROGRAMMING INTERFACES | KESSLER, GREGORY AARON | — |
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 |
|---|---|---|---|
| 18400778 | Techniques for Preserving Memories and Experiences Through a Non-Fungible Token (NFT) Engine | KING, DAVIDA LEE | 3d overdue |
| 19574205 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE - BLOCKCHAIN RETIREMENT ACCOUNT MANAGEMENT | GETACHEW, WODAJO | — |
| 19262651 | MANAGING INCOME STREAMS USING A DISTRIBUTED LEDGER AND SOULBOUND TOKENS | MILLER, JAMES H | — |
| 18981392 | AUTOMATED TECHNICAL DEBT EVALUATION AND SCORING USING ARTIFICIAL INTELLIGENCE | SINGLETARY, TYRONE E | — |
| 18889583 | ANALYSIS AND CLASSIFICATION METHODS AND SYSTEMS FOR ASSESSING, IDENTIFYING, AND TRACKING TECHNICAL DEBT IN ORGANIZATIONS | MACASIANO, JOANNE GONZALES | — |
| 18765022 | SYSTEMS AND METHODS TO IDENTIFY FRICTION EVENTS DURING AN ELECTRONIC JOURNEY OF A CUSTOMER OF A BUSINESS | KANAAN, TONY P | — |
| 18643720 | TECHNIQUES FOR LEVERAGING PROOF-OF-CONTRIBUTION ON A DISTRIBUTED CYBER THREAT INTELLIGENCE PLATFORM | HOANG, HIEU T | — |
| 18637972 | TECHNIQUES FOR PROVIDING ARTIFICIAL INTELLIGENCE MEDIATED CURATION OF ACCESS AND CONTENT WITHIN A CYBER THREAT INTELLIGENCE PLATFORM | TRUONG, LAN DAI T | — |
| Art Unit | Apps |
|---|---|
| 3625 | 3 |
| 2197 | 3 |
| 3697 | 1 |
| 3694 | 1 |
| 3696 | 1 |
| 2449 | 1 |
| 2444 | 1 |
| 3699 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19574205 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE - BLOCKCHAIN RETIREMENT ACCOUNT MANAGEMENT | GETACHEW, WODAJO | 3697 | §101 | Non-Final OA | — | Pending | Mar 20, 2026 |
| 19262651 | MANAGING INCOME STREAMS USING A DISTRIBUTED LEDGER AND SOULBOUND TOKENS | MILLER, JAMES H | 3694 | §101§103 | Non-Final OA | — | Pending | Jul 08, 2025 |
| 18981392 | AUTOMATED TECHNICAL DEBT EVALUATION AND SCORING USING ARTIFICIAL INTELLIGENCE | SINGLETARY, TYRONE E | 3625 | §112 | Final Rejection | — | Pending | Dec 13, 2024 |
| 18952523 | SYSTEMS AND METHODS FOR TECHNICAL DEBT RISK MANAGEMENT USING ARTIFICIAL INTELLIGENCE | TORRES CHANZA, GABRIEL JOSE | 3625 | §101§103 | Final Rejection | — | Pending | Nov 19, 2024 |
| 18889583 | ANALYSIS AND CLASSIFICATION METHODS AND SYSTEMS FOR ASSESSING, IDENTIFYING, AND TRACKING TECHNICAL DEBT IN ORGANIZATIONS | MACASIANO, JOANNE GONZALES | 2197 | §103 | Non-Final OA | — | Pending | Sep 19, 2024 |
| 18765022 | SYSTEMS AND METHODS TO IDENTIFY FRICTION EVENTS DURING AN ELECTRONIC JOURNEY OF A CUSTOMER OF A BUSINESS | KANAAN, TONY P | 3696 | §101 | Non-Final OA | — | Pending | Jul 05, 2024 |
| 18643720 | TECHNIQUES FOR LEVERAGING PROOF-OF-CONTRIBUTION ON A DISTRIBUTED CYBER THREAT INTELLIGENCE PLATFORM | HOANG, HIEU T | 2449 | §103§112 | Non-Final OA | — | Pending | Apr 23, 2024 |
| 18637972 | TECHNIQUES FOR PROVIDING ARTIFICIAL INTELLIGENCE MEDIATED CURATION OF ACCESS AND CONTENT WITHIN A CYBER THREAT INTELLIGENCE PLATFORM | TRUONG, LAN DAI T | 2444 | §103 | Final Rejection | — | Pending | Apr 17, 2024 |
| 18404155 | SYSTEMS AND METHODS FOR RESPONSIBLE ARTIFICIAL INTELLIGENCE | PHAM, JESSICA THUY | — | §103§112 | Non-Final OA | — | Pending | Jan 04, 2024 |
| 18400778 | Techniques for Preserving Memories and Experiences Through a Non-Fungible Token (NFT) Engine | KING, DAVIDA LEE | 3699 | §103 | Non-Final OA | 3d overdue | Pending | Dec 29, 2023 |
| 18392059 | DYNAMICALLY MAPPING APPLICATION PROGRAMMING INTERFACES | KESSLER, GREGORY AARON | 2197 | §101 | Final Rejection | — | Pending | Dec 21, 2023 |
| 18509923 | GENERATIVE ARTIFICIAL INTELLIGENCE INCLUDING MAPPING QUESTIONS AND ANSWERS | TSAI, JAMES T | — | §103 | Non-Final OA | — | Pending | Nov 15, 2023 |
| 18374913 | OPERATING SYSTEM LIFECYCLE MANAGEMENT USING MACHINE LEARNING | UNG, LANNY N | 2197 | §103 | Non-Final OA | 19d | Pending | Sep 29, 2023 |
| 18243714 | RECOMMENDATION SYSTEMS INTEGRATING EXTENDED REALITY TO GENERATE PERSONALIZED RECOMMENDATIONS | SANTIAGO-MERCED, FRANCIS Z | 3625 | §101§103 | Final Rejection | 29d | Pending | Sep 08, 2023 |
| 18233674 | SUPERVISED MACHINE LEARNING FOR AUTOMATED ASSISTANTS | SITIRICHE, LUIS A | — | §101§103§112DP | Non-Final OA | — | Pending | Aug 14, 2023 |
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