Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19074467 | ELECTRONIC DEVICE AND APPLICATION SEARCH METHOD THEREOF | March 2025 | February 2026 | Allow | 11 | 0 | 0 | No | No |
| 18824141 | Methods and Apparatus for Efficient Media Indexing | September 2024 | October 2025 | Allow | 13 | 1 | 0 | No | No |
| 18757720 | LOCK-FREE READ ACCESS TO HASH MAP DATA STRUCTURES | June 2024 | September 2025 | Allow | 15 | 1 | 0 | No | No |
| 18734974 | METHOD, DEVICE AND STORAGE MEDIUM FOR PROCESSING DATA TABLE | June 2024 | February 2026 | Allow | 20 | 3 | 0 | No | No |
| 18680128 | DATA MIGRATION IN A DISTRIBUTIVE FILE SYSTEM | May 2024 | December 2025 | Allow | 18 | 1 | 0 | No | No |
| 18677681 | AUTOMATIC EVOLUTION OF DYNAMIC TABLES BASED ON OBJECT TRACKING | May 2024 | March 2026 | Allow | 21 | 1 | 0 | No | No |
| 18658616 | METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING OBJECT IDENTIFIER | May 2024 | February 2026 | Allow | 21 | 1 | 0 | No | No |
| 18652579 | SHARE REPLICATION BETWEEN REMOTE DEPLOYMENTS | May 2024 | December 2025 | Allow | 19 | 1 | 0 | Yes | No |
| 18625029 | SYSTEMS AND METHODS FOR RECORDING DATA REPRESENTING MULTIPLE INTERACTIONS | April 2024 | October 2025 | Allow | 18 | 1 | 0 | No | No |
| 18430048 | SYSTEMS AND METHODS FOR SYNCHRONIZING NON-FUNGIBLE TOKEN LEDGERS | February 2024 | December 2025 | Abandon | 23 | 4 | 0 | Yes | No |
| 18428229 | RECOMMENDING MEDIA PROGRAMS BASED ON MEDIA PROGRAM POPULARITY | January 2024 | November 2025 | Abandon | 21 | 1 | 0 | No | No |
| 18523701 | GRAPH PROCESSING SYSTEM | November 2023 | August 2025 | Allow | 21 | 2 | 0 | No | No |
| 18520891 | GRAPH OPERATIONS ENGINE FOR TENANT MANAGEMENT IN A MULTI-TENANT SYSTEM | November 2023 | October 2025 | Allow | 23 | 2 | 0 | Yes | No |
| 18480989 | MACHINE LEARNING-BASED METHODS FOR MATCHING SKILLS TO ROLES AND COURSES | October 2023 | March 2026 | Abandon | 30 | 1 | 0 | No | No |
| 18552637 | HARDWARE-ACCELERATED HOMOMORPHIC ENCRYPTION IN MARKETPLACE PLATFORMS | September 2023 | March 2026 | Allow | 29 | 3 | 0 | Yes | No |
| 18473037 | MEDIA AGNOSTIC CONTENT ACCESS MANAGEMENT | September 2023 | December 2025 | Allow | 26 | 4 | 0 | Yes | No |
| 18281686 | TIME-SERIES DATA PROCESSING METHOD | September 2023 | November 2025 | Abandon | 27 | 2 | 0 | Yes | No |
| 18220493 | METHODS AND SYSTEMS FOR PERSONALIZED SCREEN CONTENT OPTIMIZATION | July 2023 | December 2025 | Allow | 29 | 3 | 0 | No | No |
| 18337891 | Al-POWERED CONCEPT-DRIVEN VISUALIZATION AUTHORING | June 2023 | December 2025 | Allow | 30 | 3 | 0 | Yes | No |
| 18333788 | Persona Based Modeling System | June 2023 | September 2025 | Allow | 27 | 2 | 0 | Yes | No |
| 18143789 | DATA STORAGE METHOD AND DEVICE FOR DATA STORAGE | May 2023 | January 2026 | Allow | 33 | 3 | 0 | Yes | No |
| 18139116 | DASHBOARDS FOR P2P MESH NETWORKS TO FACILITATE DEVICE MANAGEMENT | April 2023 | July 2025 | Allow | 27 | 2 | 0 | Yes | No |
| 18095818 | OBJECT STORAGE-BASED INDEXING SYSTEMS AND METHOD | January 2023 | December 2025 | Abandon | 36 | 3 | 0 | No | No |
| 18146358 | DYNAMIC INTERNAL SERVICE/FUNCTION DISCOVERY IN TELECOM CLOUD ARCHITECTURE | December 2022 | March 2026 | Allow | 39 | 3 | 0 | No | No |
| 18067683 | STABILIZER INSTRUMENT EQUALITY DETERMINATION | December 2022 | February 2026 | Allow | 38 | 1 | 0 | Yes | No |
| 17986029 | OFFLOADING DATA INTERFACING METHOD BETWEEN DBMS STORAGE ENGINE AND COMPUTATIONAL STORAGE DEVICE | November 2022 | November 2025 | Allow | 36 | 3 | 0 | No | No |
| 16447916 | DATA SEARCH METHOD, DATA SEARCH APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM FOR DATA SEARCH | June 2019 | December 2020 | Allow | 18 | 0 | 0 | No | No |
| 16416358 | ROUTER BASED QUERY RESULTS | May 2019 | April 2021 | Allow | 23 | 2 | 0 | No | No |
| 16273063 | USER CREATED CONTENT REFERRAL AND SEARCH | February 2019 | September 2022 | Abandon | 44 | 4 | 0 | No | No |
| 16156632 | MAINTAINING FILE MANAGEMENT SYSTEMS USING COGNITIVE COMPUTING | October 2018 | December 2020 | Allow | 26 | 1 | 0 | Yes | No |
| 15874453 | INFERENTIAL USER MATCHING SYSTEM | January 2018 | March 2020 | Allow | 26 | 1 | 0 | No | No |
| 15857770 | RADIX SORT ACCELERATION USING CUSTOM ASIC | December 2017 | February 2020 | Allow | 26 | 1 | 0 | No | No |
| 15843188 | COGNITIVE MOBILE APPLICATION DESIGN SEARCH ENGINE INCLUDING A KEYWORD SEARCH | December 2017 | April 2020 | Allow | 28 | 3 | 0 | No | No |
| 15841922 | RESULTS FROM SEARCH PROVIDERS USING A BROWSING-TIME RELEVANCY FACTOR | December 2017 | March 2020 | Allow | 27 | 1 | 0 | No | No |
| 15463751 | Search Result Ranking Based on Post Classifiers on Online Social Networks | March 2017 | May 2020 | Allow | 37 | 2 | 0 | Yes | Yes |
| 14512568 | SYSTEMS AND METHODS FOR PROVIDING INFORMATION DISCOVERY AND RETRIEVAL | October 2014 | July 2015 | Allow | 33 | 0 | 0 | Yes | No |
| 14509324 | USING SMART PUSH TO RETRIEVE SEARCH RESULTS BASED ON A SET PERIOD OF TIME AND A SET KEYWORD WHEN THE SET KEYWORD FALLS WITHIN TOP POPULAR SEARCH RANKING DURING THE SET TIME PERIOD | October 2014 | September 2015 | Allow | 11 | 1 | 0 | No | No |
| 14328970 | CONTENT STORAGE MAPPING | July 2014 | August 2015 | Allow | 13 | 1 | 0 | No | No |
| 14030164 | CLASSIFYING AND MONITORING DATABASE OPERATIONS BASED ON A COST OF RECOVERY | September 2013 | August 2015 | Allow | 23 | 1 | 0 | Yes | No |
| 13964207 | CONTENT STORAGE MAPPING | August 2013 | June 2014 | Allow | 10 | 1 | 0 | No | No |
| 13880198 | COMPUTER, CONTROL METHOD OF COMPUTER, AND RECORDING MEDIUM | July 2013 | July 2015 | Allow | 27 | 1 | 0 | No | No |
| 13648451 | USING SMART PUSH TO RETRIEVE SEARCH RESULTS BASED ON A SET PERIOD OF TIME AND A SET KEYWORD WHEN THE SET KEYWORD FALLS WITHIN TOP POPULAR SEARCH RANKING DURING THE SET TIME PERIOD | October 2012 | July 2014 | Allow | 21 | 0 | 0 | No | No |
| 13648587 | HIGH PERFORMANCE SECURE DATA ACCESS IN A PARALLEL PROCESSING SYSTEM | October 2012 | August 2014 | Allow | 23 | 1 | 0 | Yes | No |
| 13648658 | GENERATING ENUMERATED INFORMATION IN WHICH A PLURALITY OF FILES ARE ENUMERATED IN A SEQUENTIAL MEDIUM | October 2012 | December 2014 | Allow | 26 | 1 | 0 | Yes | No |
| 13448511 | CONTENT STORAGE MAPPING | April 2012 | May 2013 | Allow | 13 | 1 | 0 | No | No |
| 13363466 | DETECTING STATISTICAL VARIATION FROM UNCLASSIFIED PROCESS LOG | February 2012 | May 2013 | Allow | 15 | 0 | 0 | No | No |
| 13167262 | HIGH AVAILABILITY DATABASE SYSTEMS AND METHODS | June 2011 | October 2013 | Allow | 28 | 2 | 0 | Yes | No |
| 13000393 | FILE MANAGEMENT SYSTEM | December 2010 | March 2013 | Allow | 27 | 1 | 0 | Yes | No |
| 12974403 | SYSTEM AND METHOD FOR SERVING SEARCH RESULTS OF TEXTUAL DATA IN RESPONSE TO A QUERY AS IT IS TYPED | December 2010 | December 2012 | Allow | 24 | 1 | 0 | No | No |
| 12779894 | CONTENT SEARCH SYSTEM INCLUDING MULTIPLE DETERMINISTIC FINITE AUTOMATON ENGINES HAVING SHARED MEMORY RESOURCES | May 2010 | August 2014 | Allow | 51 | 2 | 0 | No | No |
| 12779726 | Scalable, Concurrent Resizing Of Hash Tables | May 2010 | March 2014 | Allow | 46 | 2 | 0 | Yes | No |
| 12779727 | METHOD FOR IMPROVING THE EFFECTIVENESS OF HASH-BASED DATA STRUCTURES | May 2010 | March 2014 | Allow | 46 | 2 | 0 | No | No |
| 12606260 | CONTENT STORAGE MAPPING METHOD AND SYSTEM | October 2009 | March 2012 | Allow | 29 | 1 | 0 | No | No |
| 12426914 | DATA TAG CREATION FROM A PHYSICAL ITEM DATA RECORD TO BE ATTACHED TO A PHYSICAL ITEM | April 2009 | March 2011 | Allow | 23 | 1 | 0 | No | No |
| 12396434 | APPARATUS AND METHODS OF RECONCILING DIFFERENT VERSIONS OF AN ORDERED LIST | March 2009 | August 2013 | Allow | 54 | 2 | 0 | No | Yes |
| 12351857 | SYSTEM AND METHOD FOR PARSING A TEXT FILE | January 2009 | December 2011 | Allow | 35 | 1 | 0 | No | No |
| 12345391 | ABSTRACT QUERY BUILDING WITH SELECTABILITY OF AGGREGATION OPERATIONS AND GROUPING | December 2008 | December 2011 | Allow | 35 | 2 | 0 | No | No |
| 12336565 | INTEGRATED SEARCH ENGINE DEVICES THAT UTILIZE SPM-LINKED BIT MAPS TO REDUCE HANDLE MEMORY DUPLICATION AND METHODS OF OPERATING SAME | December 2008 | October 2011 | Allow | 34 | 1 | 0 | No | No |
| 12208003 | METHOD FOR USING AN OTP STORAGE DEVICE | September 2008 | August 2011 | Allow | 36 | 1 | 0 | No | No |
| 12198365 | IDENTIFICATION AND VERIFICATION OF COMMON CLUSTER FILES RESIDING ON NODES IN A CLUSTER | August 2008 | December 2010 | Allow | 28 | 0 | 0 | No | No |
| 12166398 | METHOD AND APPARATUS FOR OPTIMIZATION IN WORKFLOW MANAGEMENT SYSTEMS | July 2008 | May 2011 | Allow | 35 | 1 | 0 | No | No |
| 12147384 | TIME BASED FILE SYSTEM FOR CONTINUOUS DATA PROTECTION | June 2008 | March 2011 | Allow | 32 | 1 | 0 | No | No |
| 12133811 | DOCUMENT SEARCH METHOD AND DOCUMENT SEARCH APPARATUS THAT USE A COMBINATION OF INDEX-TYPE SEARCH AND SCAN-TYPE SEARCH | June 2008 | March 2011 | Allow | 33 | 1 | 0 | No | No |
| 12120211 | COMBINATION OF COLLABORATIVE FILTERING AND CLIPRANK FOR PERSONALIZED MEDIA CONTENT RECOMMENDATION | May 2008 | April 2011 | Allow | 35 | 2 | 0 | No | No |
| 12120209 | CLIPRANK: RANKING MEDIA CONTENT USING THEIR RELATIONSHIPS WITH END USERS | May 2008 | April 2011 | Allow | 35 | 2 | 0 | No | No |
| 12112211 | INFORMATION PROCESSING APPARATUS, SYSTEM, AND METHOD FOR MANAGING DOCUMENTS USED IN AN ORGANIZATION | April 2008 | November 2010 | Allow | 30 | 1 | 0 | No | No |
| 12103119 | DATA RETRIEVAL AND DATA FEED GENERATION FROM DATA SOURCES | April 2008 | July 2012 | Allow | 51 | 4 | 0 | Yes | Yes |
| 11933396 | METHOD AND SYSTEM FOR REPLACING DATA IN A STRUCTURED DESIGN TEMPLATE | October 2007 | February 2011 | Allow | 39 | 1 | 0 | No | No |
| 11843465 | DATA SUBSCRIPTION MANAGEMENT SYSTEM | August 2007 | June 2015 | Allow | 60 | 4 | 0 | Yes | Yes |
| 11838829 | ANNOTATION AND PUBLICATION FRAMEWORK | August 2007 | May 2011 | Allow | 45 | 1 | 0 | No | No |
| 11671363 | ANNOTATING LINKS IN A DOCUMENT BASED ON THE RANKS OF DOCUMENTS POINTED TO BY THE LINKS | February 2007 | June 2010 | Allow | 41 | 2 | 0 | No | No |
| 11620828 | METHOD AND APPARATUS FOR STORING AND ACCESSING DATA RECORDS ON SOLID STATE DISKS | January 2007 | November 2010 | Allow | 46 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner LE, UYEN T.
With a 0.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is in the bottom 25% across the USPTO, indicating that appeals face significant challenges here.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 25.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner LE, UYEN T works in Art Unit 2156 and has examined 46 patent applications in our dataset. With an allowance rate of 97.8%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 30 months.
Examiner LE, UYEN T's allowance rate of 97.8% places them in the 89% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by LE, UYEN T receive 1.37 office actions before reaching final disposition. This places the examiner in the 20% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.
The median time to disposition (half-life) for applications examined by LE, UYEN T is 30 months. This places the examiner in the 59% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +2.9% benefit to allowance rate for applications examined by LE, UYEN T. This interview benefit is in the 24% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 37.5% of applications are subsequently allowed. This success rate is in the 85% percentile among all examiners. Strategic Insight: RCEs are highly effective with this examiner compared to others. If you receive a final rejection, filing an RCE with substantive amendments or arguments has a strong likelihood of success.
This examiner enters after-final amendments leading to allowance in 53.8% of cases where such amendments are filed. This entry rate is in the 80% percentile among all examiners. Strategic Recommendation: This examiner is highly receptive to after-final amendments compared to other examiners. Per MPEP § 714.12, after-final amendments may be entered "under justifiable circumstances." Consider filing after-final amendments with a clear showing of allowability rather than immediately filing an RCE, as this examiner frequently enters such amendments.
When applicants request a pre-appeal conference (PAC) with this examiner, 200.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 94% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences are highly effective with this examiner compared to others. Before filing a full appeal brief, strongly consider requesting a PAC. The PAC provides an opportunity for the examiner and supervisory personnel to reconsider the rejection before the case proceeds to the PTAB.
This examiner withdraws rejections or reopens prosecution in 80.0% of appeals filed. This is in the 72% percentile among all examiners. Of these withdrawals, 75.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows above-average willingness to reconsider rejections during appeals. The mandatory appeal conference (MPEP § 1207.01) provides an opportunity for reconsideration.
When applicants file petitions regarding this examiner's actions, 66.7% are granted (fully or in part). This grant rate is in the 72% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
Examiner's Amendments: This examiner makes examiner's amendments in 2.2% of allowed cases (in the 75% percentile). Per MPEP § 1302.04, examiner's amendments are used to place applications in condition for allowance when only minor changes are needed. This examiner frequently uses this tool compared to other examiners, indicating a cooperative approach to getting applications allowed. Strategic Insight: If you are close to allowance but minor claim amendments are needed, this examiner may be willing to make an examiner's amendment rather than requiring another round of prosecution.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 12% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.