Technology areas: Computing & Software • Networking & Security • Transportation, E-Commerce & Mechanical Systems
10 pending office actions • 9 art units • 10 examiners • 0 of 10 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Mastercard Technologies Canada Ulc has 10 pending office actions in Computing & Software. The docket involves 10 distinct examiners and 9 distinct art units, showing broad examiner dispersion and nearly equivalent art-unit coverage.
LE, CANH is the busiest examiner and handles 1 pending matter. No single examiner dominates the docket, so portfolio management should emphasize repeatable processes, consistent claim-position tracking, and matter-specific response planning.
The difference between examiner and art-unit coverage indicates that at least one technical grouping includes more than one examiner assignment. Counsel may use art-unit themes for technical coordination, but the distribution supports independent review of each examiner’s objections and cited references.
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 | 2 (20%) |
| §101 + other | 2 (20%) |
| §103 only | 2 (20%) |
| §102 only | 1 (10%) |
| Multi-statute (no §101) | 3 (30%) |
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 |
|---|---|---|---|
| LE, CANH | 1 | 73.2% | +70.9% |
| HAMILTON, SARA CHANDLER | 1 | 64.0% | +52.8% |
| SHECHTMAN, CHERYL MARIA | 1 | 71.1% | +28.8% |
| KIRK, BRYAN J | 1 | 33.9% | +44.1% |
| WANG, HARRIS C | 1 | 69.9% | +20.1% |
| KASENGE, CHARLES R | 1 | 83.9% | +13.9% |
| SPRATT, BEAU D | 1 | 78.9% | +23.8% |
| KAPOOR, DEVAN | 1 | 6.7% | +10.0% |
| KANG, IRENE S | 1 | 16.4% | +26.2% |
| XIE, EDGAR WANGSHU | 1 | 82.1% | +39.2% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18469314 | ANOMALY DETECTION BASED ON BEHAVIOR MODELING LEARNED FROM MONITORED COMPUTER ACTIVITIES | XIE, EDGAR WANGSHU | 12d |
| 18762545 | SYSTEMS, METHODS, COMPUTER-READABLE MEDIA, AND DEVICES FOR AUTHENTICATING USERS | KASENGE, CHARLES R | — |
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 |
|---|---|---|---|
| 18490023 | ARTIFICIAL-INTELLIGENCE-ENABLED INFORMATION SECURITY TECHNIQUES BASED ON USER METADATA | KANG, IRENE S | 28d overdue |
| 19068820 | DEVICES, METHODS, COMPUTER-READABLE MEDIA, AND SYSTEMS WITH AUTHORIZED FRAUD DETECTION | HAMILTON, SARA CHANDLER | — |
| 19023069 | ENHANCING DATA PRIVACY IN PARQUET DATA FILE SYSTEMS | SHECHTMAN, CHERYL MARIA | — |
| 18815823 | SYSTEMS AND METHODS FOR DISPUTE RESOLUTION WITH CONFIDENCE RATINGS | KIRK, BRYAN J | — |
| 18776626 | GEOLOCATION TO IDENTIFY VIRTUAL PRIVATE NETWORKS | WANG, HARRIS C | — |
| 18637643 | DATA LABEL CREATION FROM REDUCED DATA LABELS FOR MODEL TRAINING | SPRATT, BEAU D | — |
| 18617994 | SYSTEM AND METHOD FOR EVALUATING GENERATIVE ARTIFICIAL INTELLIGENCE MODELS | KAPOOR, DEVAN | — |
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 |
|---|---|---|---|
| 18490023 | ARTIFICIAL-INTELLIGENCE-ENABLED INFORMATION SECURITY TECHNIQUES BASED ON USER METADATA | KANG, IRENE S | 28d overdue |
| 18469314 | ANOMALY DETECTION BASED ON BEHAVIOR MODELING LEARNED FROM MONITORED COMPUTER ACTIVITIES | XIE, EDGAR WANGSHU | 12d |
| 19169812 | USER AUTHENTICATION WITH BIOMETRIC DATA IN CONJUNCTION WITH AUTOFILL ASSISTANCE | LE, CANH | — |
| 19068820 | DEVICES, METHODS, COMPUTER-READABLE MEDIA, AND SYSTEMS WITH AUTHORIZED FRAUD DETECTION | HAMILTON, SARA CHANDLER | — |
| 19023069 | ENHANCING DATA PRIVACY IN PARQUET DATA FILE SYSTEMS | SHECHTMAN, CHERYL MARIA | — |
| 18815823 | SYSTEMS AND METHODS FOR DISPUTE RESOLUTION WITH CONFIDENCE RATINGS | KIRK, BRYAN J | — |
| 18776626 | GEOLOCATION TO IDENTIFY VIRTUAL PRIVATE NETWORKS | WANG, HARRIS C | — |
| 18762545 | SYSTEMS, METHODS, COMPUTER-READABLE MEDIA, AND DEVICES FOR AUTHENTICATING USERS | KASENGE, CHARLES R | — |
| Art Unit | Apps |
|---|---|
| 2439 | 2 |
| 3695 | 1 |
| 2164 | 1 |
| 3628 | 1 |
| 2116 | 1 |
| 2143 | 1 |
| 2126 | 1 |
| 3696 | 1 |
| 2433 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19169812 | USER AUTHENTICATION WITH BIOMETRIC DATA IN CONJUNCTION WITH AUTOFILL ASSISTANCE | LE, CANH | 2439 | §103Other | Non-Final OA | — | Pending | Apr 03, 2025 |
| 19068820 | DEVICES, METHODS, COMPUTER-READABLE MEDIA, AND SYSTEMS WITH AUTHORIZED FRAUD DETECTION | HAMILTON, SARA CHANDLER | 3695 | §101§103§112 | Non-Final OA | — | Pending | Mar 03, 2025 |
| 19023069 | ENHANCING DATA PRIVACY IN PARQUET DATA FILE SYSTEMS | SHECHTMAN, CHERYL MARIA | 2164 | §103§112 | Non-Final OA | — | Pending | Jan 15, 2025 |
| 18815823 | SYSTEMS AND METHODS FOR DISPUTE RESOLUTION WITH CONFIDENCE RATINGS | KIRK, BRYAN J | 3628 | §101 | Non-Final OA | — | Pending | Aug 26, 2024 |
| 18776626 | GEOLOCATION TO IDENTIFY VIRTUAL PRIVATE NETWORKS | WANG, HARRIS C | 2439 | §102§103 | Final Rejection | — | Pending | Jul 18, 2024 |
| 18762545 | SYSTEMS, METHODS, COMPUTER-READABLE MEDIA, AND DEVICES FOR AUTHENTICATING USERS | KASENGE, CHARLES R | 2116 | §102 | Non-Final OA | — | Pending | Jul 02, 2024 |
| 18637643 | DATA LABEL CREATION FROM REDUCED DATA LABELS FOR MODEL TRAINING | SPRATT, BEAU D | 2143 | §103§112 | Non-Final OA | — | Pending | Apr 17, 2024 |
| 18617994 | SYSTEM AND METHOD FOR EVALUATING GENERATIVE ARTIFICIAL INTELLIGENCE MODELS | KAPOOR, DEVAN | 2126 | §101§103 | Non-Final OA | — | Pending | Mar 27, 2024 |
| 18490023 | ARTIFICIAL-INTELLIGENCE-ENABLED INFORMATION SECURITY TECHNIQUES BASED ON USER METADATA | KANG, IRENE S | 3696 | §101 | Final Rejection | 28d overdue | Pending | Oct 19, 2023 |
| 18469314 | ANOMALY DETECTION BASED ON BEHAVIOR MODELING LEARNED FROM MONITORED COMPUTER ACTIVITIES | XIE, EDGAR WANGSHU | 2433 | §103 | Non-Final OA | 12d | Pending | Sep 18, 2023 |
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Start Free TrialMastercard Technologies Canada Ulc has 10 pending office actions as of October 2026, spread across 9 art units and 10 examiners.
Canh Le has the most, with 1 of Mastercard Technologies Canada Ulc's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.