Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18742271 | DATA PROCESSING METHOD, SYSTEM, AND APPARATUS, DEVICE, AND STORAGE MEDIUM | June 2024 | November 2025 | Allow | 18 | 2 | 0 | No | No |
| 18603885 | Message Processing Method and Electronic Device | March 2024 | July 2025 | Allow | 16 | 1 | 0 | No | No |
| 18396520 | DATA PROCESSING METHOD, APPARATUS AND DEVICE AND STORAGE MEDIUM | December 2023 | October 2025 | Allow | 22 | 4 | 0 | No | No |
| 18077781 | MACHINE LEARNING EVALUATION FOR DETECTING FEATURE BIAS | December 2022 | February 2026 | Allow | 38 | 1 | 0 | Yes | No |
| 17947865 | CONCEPT MAP TRANSLATION FOR URL PROFILES | September 2022 | July 2025 | Allow | 34 | 3 | 0 | No | No |
| 17895811 | CONVOLUTION COMPUTATION ENGINE, ARTIFICIAL INTELLIGENCE CHIP, AND DATA PROCESSING METHOD | August 2022 | February 2026 | Allow | 42 | 1 | 0 | No | No |
| 17801554 | LEARNING DEVICE, LEARNING METHOD, AND STORAGE MEDIUM FOR LEARNING DEVICE | August 2022 | July 2025 | Allow | 34 | 0 | 0 | No | No |
| 16742463 | "System, Method, and Computer Program Product for Monitoring and Improving Data Quality" | January 2020 | September 2020 | Abandon | 8 | 0 | 0 | No | No |
| 16700240 | SYSTEM FOR ASSISTING AIRCRAFT FAULT RESOLUTION | December 2019 | June 2020 | Abandon | 7 | 0 | 0 | No | No |
| 16293898 | PROVIDING CONTENT IN RESPONSE TO USER ACTIONS | March 2019 | May 2022 | Allow | 38 | 1 | 0 | No | No |
| 16041940 | UPDATING A SNAPSHOT OF A FULLY ALLOCATED STORAGE SEGMENT BASED UPON DATA THEREWITHIN | July 2018 | January 2019 | Abandon | 6 | 0 | 0 | No | No |
| 15993405 | PARALLEL PROCESSING DATABASE SYSTEM WITH A SHARED METADATA STORE | May 2018 | May 2022 | Allow | 48 | 5 | 0 | No | No |
| 15908891 | SERVER, CONTROL METHOD FOR SERVER, AND CONTROL PROGRAM FOR SERVER | March 2018 | May 2019 | Abandon | 15 | 0 | 0 | No | No |
| 15906729 | Methods And Systems For Extracting And Visualizing Patterns In Large-Scale Data Sets | February 2018 | March 2022 | Allow | 48 | 4 | 0 | No | No |
| 15784442 | CONTROL SERVER | October 2017 | January 2021 | Abandon | 39 | 1 | 0 | No | No |
| 15728502 | Sequence Specific Fluorescence for Peptide-Fluorochrome Interactions | October 2017 | January 2019 | Abandon | 15 | 1 | 0 | No | No |
| 15728371 | DATA SCIENCE VERSIONING AND INTELLIGENCE SYSTEMS AND METHODS | October 2017 | April 2019 | Abandon | 18 | 0 | 0 | No | No |
| 15722687 | DATABASE SYSTEM UTILIZING FORCED MEMORY ALIGNED ACCESS | October 2017 | April 2019 | Abandon | 18 | 0 | 0 | No | No |
| 15616848 | METADATA SEARCH PROCESS FOR LARGE SCALE STORAGE SYSTEM | June 2017 | November 2018 | Abandon | 17 | 0 | 0 | No | No |
| 15268048 | DUPLICATE REDUCTION OR ELIMINATION WITH HASH JOIN OPERATIONS | September 2016 | August 2017 | Abandon | 11 | 0 | 0 | No | No |
| 15249677 | METHOD FOR COMMENT TAG EXTRACTION AND ELECTRONIC DEVICE | August 2016 | August 2017 | Abandon | 12 | 0 | 0 | No | No |
| 15250615 | METHOD AND ELECTRONIC DEVICE FOR VIDEO RECOMMENDATION | August 2016 | August 2017 | Abandon | 11 | 0 | 0 | No | No |
| 15250840 | METHOD AND ELECTRONIC DEVICE FOR FILE SYSTEM SYNCHRONIZATION | August 2016 | July 2017 | Abandon | 11 | 0 | 0 | No | No |
| 15247836 | METHOD AND DEVICE FOR SYNCHRONOUSLY UPDATING CONTACT INFORMATION | August 2016 | August 2017 | Abandon | 12 | 0 | 0 | No | No |
| 15247758 | METHOD AND ELECTRONIC DEVICE FOR RECOMMENDING VIDEO | August 2016 | March 2018 | Abandon | 19 | 0 | 0 | No | No |
| 15244704 | METHOD AND DEVICE FOR PROCESSING RESOURCES | August 2016 | August 2017 | Abandon | 11 | 0 | 0 | No | No |
| 15245157 | METHOD AND APPARATUS FOR DYNAMICALLY DISPLAYING YELLOW PAGES INFORMATION ON MOBILE DEVICE | August 2016 | July 2017 | Abandon | 11 | 0 | 0 | No | No |
| 15243231 | DATA SERVICE SYSTEM AND ELECTRONIC APPARATUS | August 2016 | January 2018 | Abandon | 16 | 0 | 0 | No | No |
| 15243179 | PROPERTY RETRIEVAL APPARATUS, METHOD AND SYSTEM | August 2016 | February 2018 | Abandon | 18 | 0 | 0 | No | No |
| 15242027 | Method and electronic device for searching resource | August 2016 | January 2018 | Abandon | 16 | 0 | 0 | No | No |
| 15241403 | BRIGHT SPOT PROMPTING METHOD AND DEVICE BASED ON SEARCH KEY | August 2016 | January 2018 | Abandon | 17 | 0 | 0 | No | No |
| 15241881 | METHOD AND ELECTRONIC DEVICE FOR RECOMMENDING VIDEO | August 2016 | January 2018 | Abandon | 17 | 0 | 0 | No | No |
| 15214906 | Data Query Method and Apparatus | July 2016 | March 2018 | Abandon | 20 | 0 | 0 | No | No |
| 15185648 | METHOD AND SYSTEM FOR PREVIEWING SEARCH RESULTS | June 2016 | May 2018 | Allow | 23 | 1 | 0 | No | No |
| 15133446 | Method and Apparatus for Accessing File | April 2016 | March 2018 | Abandon | 22 | 0 | 0 | No | No |
| 15054370 | Expert Detection in Social Networks | February 2016 | February 2021 | Abandon | 59 | 4 | 0 | No | No |
| 14910563 | DETERMINING AN ERROR DURING DATA EXTRACTING | February 2016 | June 2017 | Abandon | 16 | 0 | 0 | No | No |
| 15015291 | METHOD AND SYSTEM FOR DIVERSE SET RECOMMENDATIONS | February 2016 | November 2018 | Abandon | 34 | 1 | 0 | No | No |
| 14906649 | STORING DIFFERENCE INFORMATION IN A BACKUP SYSTEM | January 2016 | June 2017 | Abandon | 17 | 0 | 0 | No | No |
| 14948361 | METHOD AND SYSTEM FOR MATCHING USERS SERENDIPITOUSLY BASED ON A QUANTUM PROCESSING UNIT | November 2015 | June 2017 | Abandon | 19 | 0 | 0 | No | No |
| 14782981 | COMPACTING DATA BASED ON DATA CONTENT | October 2015 | June 2017 | Abandon | 20 | 0 | 0 | No | No |
| 14873550 | ATTRIBUTE ANALYZER FOR DATA BACKUP | October 2015 | June 2017 | Abandon | 21 | 0 | 0 | No | No |
| 14871627 | DYNAMIC CLASSIFICATION OF DIGITAL FILES | September 2015 | June 2017 | Abandon | 21 | 0 | 0 | No | No |
| 14595919 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM | January 2015 | January 2021 | Abandon | 60 | 6 | 0 | Yes | No |
| 14595279 | METHOD AND APPARATUS FOR NATURAL LANGUAGE SEARCHING BASED ON MCCS | January 2015 | March 2019 | Abandon | 50 | 4 | 0 | Yes | No |
| 14595378 | STANDARDIZING ATTRIBUTES AND ENTITIES IN A SOCIAL NETWORKING SYSTEM | January 2015 | July 2018 | Allow | 60 | 3 | 0 | Yes | No |
| 14251521 | SQL EXECUTION PLAN VERIFICATION | April 2014 | July 2017 | Allow | 39 | 3 | 0 | No | Yes |
| 14025363 | SYSTEMS AND METHODS FOR DYNAMIC ANALYSIS, SORTING AND ACTIVE DISPLAY OF SEMANTIC-DRIVEN REPORTS OF COMMUNICATION REPOSITORIES | September 2013 | April 2017 | Abandon | 43 | 1 | 0 | No | No |
| 13442292 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT PROVIDING LOCAL SERVICE DISCOVERY WITH BROWSER SEARCH | April 2012 | July 2017 | Abandon | 60 | 6 | 0 | Yes | No |
| 13403234 | DYNAMIC NUMERIC SEQUENCE MATCH | February 2012 | June 2017 | Abandon | 60 | 6 | 0 | No | No |
| 10958283 | STORAGE SYSTEM AND CONTROL METHOD | October 2004 | June 2008 | Allow | 45 | 4 | 1 | No | No |
| 10847143 | SYSTEM AND METHOD AND COMPUTER PROGRAM PRODUCT FOR RANKING LOGICAL DIRECTORIES | May 2004 | June 2008 | Allow | 49 | 3 | 1 | Yes | No |
| 10781640 | USER-SPECIFIC PERSONALIZATION OF INFORMATION SERVICES | February 2004 | January 2007 | Allow | 34 | 1 | 0 | No | No |
| 10778747 | MAINTAINING PRE-COMPUTED AGGREGATE VIEWS INCREMENTALLY IN THE PRESENCE OF NON-MINIMAL CHANGES | February 2004 | June 2005 | Allow | 16 | 1 | 0 | Yes | No |
| 10746028 | METHOD AND APPARATUS FOR BINARY-ORIENTED SET SEQUENCING | December 2003 | June 2005 | Allow | 18 | 1 | 0 | Yes | No |
| 10722567 | NUMERICAL INFORMATION RETRIEVING DEVICE FOR TRANSFORMING THE FORM IN WHICH NUMERICAL INFORMATION IS PRESENTED | November 2003 | June 2007 | Allow | 42 | 2 | 0 | No | No |
| 10695149 | FILE SYSTEM FOR CREATING SWITCHED LOGICAL I/O PATHS FOR FAULT RECOVERY | October 2003 | June 2006 | Allow | 31 | 2 | 0 | No | No |
| 10682041 | METHOD AND APPARATUS FOR ASYNCHRONOUS FILE WRITES IN A DISTRIBUTED FILE SYSTEM | October 2003 | July 2006 | Allow | 33 | 4 | 0 | No | Yes |
| 10318749 | METHODS TO MANAGE THE DISPLAY OF DATA ENTITIES AND RELATIONAL DATABASE STRUCTURES | December 2002 | July 2008 | Allow | 60 | 8 | 0 | Yes | No |
| 10263864 | COMMUNICATION CONDUIT SETTING MANAGING METHOD, SYSTEM THEREOF, STORING MEDIUM STORING COMMUNICATION CONDUIT SETTING MANAGING PROGRAM, COMMUNICATION CONDUIT MAINTENANCE MANAGING METHOD, SYSTEM THEREOF, AND STORING MEDIUM STORING COMMUNICATION CONDUIT MAINTENANCE MANAGING PROGRAM | October 2002 | April 2006 | Allow | 42 | 2 | 1 | No | No |
| 10243356 | METHOD, COMPUTER PROGRAM PRODUCT, AND SYSTEM FOR THE GENERATION OF TRANSACTION SCREEN DISPLAYS FROM A HIERARCHICAL DATABASE MANAGEMENT LOG UTILIZING A BATCH TERMINAL SIMULATOR | September 2002 | February 2005 | Allow | 29 | 0 | 0 | No | No |
| 10128857 | METHOD, SYSTEM, AND PROGRAM PRODUCT FOR TRANSACTION MANAGEMENT IN A DISTRIBUTED CONTENT MANAGEMENT APPLICATION | April 2002 | October 2004 | Allow | 30 | 0 | 0 | No | No |
| 10128861 | SYSTEM AND METHOD FOR ITEM VERSIONING IN A CONTENT MANAGEMENT SYSTEM | April 2002 | May 2006 | Allow | 49 | 3 | 0 | No | No |
| 10116970 | METHOD OF COMPARING THE CLOSENESS OF A TARGET TREE TO OTHER TREES USING NOISY SUB-SEQUENCE TREE PROCESSING | April 2002 | June 2007 | Allow | 60 | 5 | 0 | Yes | No |
| 10102764 | METHOD AND APPARATUS FOR GENERATING ELECTRONIC DOCUMENT DEFINITIONS | March 2002 | July 2006 | Allow | 52 | 3 | 1 | No | No |
| 10075270 | STORAGE SYSTEM AND CONTROL METHOD | February 2002 | July 2004 | Allow | 29 | 0 | 0 | No | No |
| 10067976 | SYSTEM AND METHOD FOR THE DELIVERY OF ELECTRONIC BOOKS | February 2002 | October 2005 | Allow | 44 | 1 | 0 | Yes | No |
| 10066660 | METHOD FOR STORAGE MANAGEMENT OF STORAGE RESOURCE ON A STORAGE NETWORK | February 2002 | April 2006 | Allow | 50 | 3 | 0 | No | No |
| 10059665 | OBJECT-ORIENTED FRAMEWORK FOR GENERIC ADAPTIVE CONTROL | January 2002 | July 2006 | Allow | 53 | 5 | 0 | No | No |
| 10044161 | EFFICIENT APPLICATION DEPLOYMENT ON DYNAMIC CLUSTERS | January 2002 | May 2005 | Allow | 40 | 1 | 1 | No | No |
| 09991369 | UNIQUE ID MANAGEMENT IN DISCONNECTED DATABASE REPLICATION | November 2001 | March 2005 | Allow | 40 | 2 | 0 | No | No |
| 09923573 | METHOD FOR COLLECTIVE DECISION-MAKING | August 2001 | June 2005 | Allow | 46 | 4 | 0 | Yes | Yes |
| 09827665 | WEB-BASED SYSTEM AND METHOD FOR ENGINEERING PROJECT DESIGN | April 2001 | June 2005 | Allow | 51 | 4 | 0 | No | No |
| 09793132 | RECORDING MEDIUM HAVING A PLURALITY OF SECTIONS STORING ROOT DIRECTORY INFORMATION | February 2001 | March 2006 | Allow | 60 | 7 | 0 | No | Yes |
| 09788491 | INFORMATION SEARCHING APPARATUS AND METHOD FOR ONLINE AWARD ENTRY | February 2001 | March 2005 | Allow | 48 | 4 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner ABEL JALIL, NEVEEN.
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.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner ABEL JALIL, NEVEEN works in Art Unit 2152 and has examined 68 patent applications in our dataset. With an allowance rate of 45.6%, this examiner allows applications at a lower rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 30 months.
Examiner ABEL JALIL, NEVEEN's allowance rate of 45.6% places them in the 9% percentile among all USPTO examiners. This examiner is less likely to allow applications than most examiners at the USPTO.
On average, applications examined by ABEL JALIL, NEVEEN receive 1.72 office actions before reaching final disposition. This places the examiner in the 37% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by ABEL JALIL, NEVEEN 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 +35.7% benefit to allowance rate for applications examined by ABEL JALIL, NEVEEN. This interview benefit is in the 84% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 21.7% of applications are subsequently allowed. This success rate is in the 26% percentile among all examiners. Strategic Insight: RCEs show below-average effectiveness with this examiner. Carefully evaluate whether an RCE or continuation is the better strategy.
This examiner enters after-final amendments leading to allowance in 26.1% of cases where such amendments are filed. This entry rate is in the 36% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
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 100.0% of appeals filed. This is in the 89% percentile among all examiners. Of these withdrawals, 50.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.
When applicants file petitions regarding this examiner's actions, 100.0% are granted (fully or in part). This grant rate is in the 90% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 1.5% of allowed cases (in the 71% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 11% 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.