USPTO Examiner AYASH MARWAN - Art Unit 2133

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18928352RESPONDER SIGNAL CIRCUITRY FOR MEMORY ARRAYSOctober 2024February 2026Allow1500YesNo
18328895GLOBAL RESPONDER SIGNAL CIRCUITRY FOR MEMORY ARRAYSJune 2023July 2024Allow1300YesNo
18325128APPARATUS AND METHOD FOR PROCESSING READ COMMAND IN ZONED NAMESPACED BASED ON DETERIORATION STATE OF MEMORY DEVICEMay 2023December 2025Allow3010YesNo
18106670GARBAGE COLLECTION BASED ON ACCESS COUNTERS ASSOCIATED WITH BLOCKS OF AN ADDRESS TRANSLATION MAPFebruary 2023September 2025Abandon3140YesNo
18084119SMART FACTORY RESET PROCEDUREDecember 2022June 2024Allow1820YesNo
17976481RECOVERY OPERATION APPLYING A RECOVERY VOLTAGE VIA WAKE-UP PULSE FOR INCREASING A RESIDUAL POLARIZATION OF MEMORY CELLSOctober 2022February 2026Allow4030YesNo
17968222SYSTEM AND METHOD FOR SUPPORTING HIGH AVAILABILITY BY USING IN-MEMORY CACHE AS A DATABASEOctober 2022October 2025Allow3620YesNo
17961048SOLID STATE DRIVE (SSD) AND OPERATING METHODOctober 2022June 2023Allow800YesNo
17944862SYSTEM AND METHOD FOR HISTORY-BASED NON-PARAMETRIC CHANNEL INFORMATION PREDICITON USING A DEEP NEURAL NETWORKSeptember 2022August 2024Allow2310YesNo
17943705IMPROVING COMPRESSION EFFECT IN A STORAGE SYSTEM USING CHUNK SIMILARITY AND DATA DEDUPLICATIONSeptember 2022January 2025Abandon2820NoNo
17893878MEMORY CONTROLLER PERFORMING A DATA DUMP OPERATION FROM SOURCE MEMORY TO TARGET MEMORY AND OPERATING METHOD THEREOFAugust 2022March 2025Allow3140YesNo
17820531Adaptive Address TrackingAugust 2022July 2025Allow3520YesNo
17883105WEIGHTED VALID ADDRESS COUNT FOR GARBAGE COLLECTIONAugust 2022August 2024Allow2520YesNo
17815516Adaptive Address TrackingJuly 2022June 2025Allow3520YesNo
17863383METHOD AND APPARATUS FOR PERFORMING DATA ACCESS MANAGEMENT OF MEMORY DEVICE WITH AID OF RANDOMNESS-PROPERTY CONTROLJuly 2022August 2023Allow1300NoNo
17850594SELECTING DATA TRANSFER UNITS ASSOCIATED WITH A DATA STREAM FOR GARBAGE COLLECTIONJune 2022July 2025Allow3740YesNo
17789318CREATING THICK-PROVISIONED VOLUME ACCORDING TO A QUALITY OF SERVICE POLICY BASED ON THE WORKLOAD OF A CLUSTERJune 2022November 2025Allow4130YesNo
17847078Optimized Read-Modify-Writes During Relocation of Overlapping Logical BlocksJune 2022September 2023Allow1500YesNo
17719404SYSTEMS AND METHODS FOR PROVIDING CUSTOMER SERVICE FUNCTIONALITY DURING PORTFOLIO MIGRATION DOWNTIMEApril 2022August 2023Allow1600YesNo
17704796ELECTRONIC DEVICE INCLUDING STORAGE AND METHOD OF PROCESSING DATA REQUEST USING MAPPING INFORMATION STORED IN NON-VOLATILE MEMORY LOADED INTO VOLATILE MEMORYMarch 2022December 2024Allow3240YesNo
17689776MEMORY SYSTEM IN WHICH A HOST AND A CONTROLLER STORE A COMMAND AND A RESPONSE TO THE COMMAND BY USING A CIRCULAR QUEUEMarch 2022June 2024Allow2710YesNo
17686620Data Storage Device and Method for Responding to a Host-Specified Parameter of an Upcoming Burst ModeMarch 2022February 2025Allow3540YesNo
17673283HOST DIRECTED GARBAGE COLLECTION ACCORDING TO HOST LOAD IN A SYSTEM CONFIGURED BY ZONED NAMESPACESFebruary 2022April 2025Abandon3840YesNo
17489180DATA STORAGE SPACE RECOVERY USING COMPACTION REQUESTSSeptember 2021March 2024Allow3050YesNo
17598190AVOIDANCE OF GARBAGE COLLECTION IN HIGH PERFORMANCE MEMORY MANAGEMENT SYSTEMSSeptember 2021April 2025Allow4340YesNo
17471968SYSTEM AND METHOD FOR REALLOCATING VIRTUAL DATA PARCELS FROM PHYSICAL DEVICES REMOVED FROM A STORAGE SYSTEMSeptember 2021April 2024Abandon3220YesNo
17468480STORAGE DEVICE INCLUDING REPLAY PROTECTED MEMORY BLOCK (RPMB) HOST DEVICE ACCESSING THE RPMB, ELECTRONIC DEVICE INCLUDING STORAGE DEVICE AND HOST DEVICE, AND METHOD OF OPERATING THE SAMESeptember 2021July 2025Allow4640YesNo
17464174Garbage Data Scrubbing Method, and DeviceSeptember 2021March 2023Allow1800YesNo
17445478REDUCE READ COMMAND LATENCY IN PARTITION COMMAND SCHEDULING AT A MEMORY DEVICEAugust 2021October 2023Allow2510YesNo
17400955MEMORY SYSTEM WITH A MEMORY CONTROLLER PERFORMING READ OPERATIONS USING INDEXED PARAMETERS BASED ON A TIME DIFFERENCE BETWEEN WRITE OPERATIONSAugust 2021August 2023Allow2420YesNo
17384873MEMORY DEVICE FOR DETERMINING AN EXTREME VALUEJuly 2021January 2023Allow1800NoNo
17305485PROVIDING SERVICE ADDRESS SPACE FOR DIAGNOSTICS COLLECTIONJuly 2021January 2023Allow1900YesNo
17363549SOLID STATE DRIVE (SSD) MEMORY SYSTEM IMPROVING THE SPEED OF A READ OPERATION USING PARALLEL DMA DATA TRANSFERSJune 2021January 2023Allow1900NoNo
17356838Parity In a Vast Storage System Using Alternate MemoryJune 2021January 2023Allow1900NoNo
17347799NONVOLATILE MEMORY DEVICE SUPPORTING PROTECTION MODE AND MEMORY SYSTEM INCLUDING THE SAMEJune 2021August 2023Allow2620YesNo
17218082METHOD AND SYSTEM FOR SHARING MEMORY BETWEEN PROCESSORS BY UPDATING SHARED MEMORY SPACE INCLUDING FUNTIONALITY TO PLACE PROCESSORS INTO IDLE STATEMarch 2021July 2023Allow2820NoNo
17217757STORAGE POOL DETERMINATION SYSTEMMarch 2021June 2023Allow2720NoNo
17203854FABRICLESS ALLOCATION OF CACHE SLOTS OF LOCAL SHARED CACHES WITH CACHE SLOT RECYCLING IN A FABRIC ENVIRONMENTMarch 2021September 2023Allow3040YesNo
17160609METHOD AND SYSTEM FOR EFFICIENT SERVICING OF STORAGE ACCESS REQUESTSJanuary 2021August 2022Allow1900YesNo
17144135USING A MACHINE LEARNING MODULE TO DYNAMICALLY DETERMINE TRACKS TO PRESTAGE FROM STORAGE TO CACHEJanuary 2021March 2023Allow2610YesNo
17133910DATA STORAGE DEVICE IN A KEY-VALUE STORAGE ARCHITECTURE WITH DATA COMPRESSION, AND NON-VOLATILE MEMORY CONTROL METHODDecember 2020September 2022Allow2000YesNo
17117033TECHNIQUES FOR SUPPORTING LARGE FRAME BUFFER APERTURES WITH BETTER SYSTEM COMPATIBILITYDecember 2020May 2024Allow4130YesNo
17105260GARBAGE COLLECTION IN DISTRIBUTED SYSTEMS USING LIFE CYCLED STORAGE ROOTSNovember 2020September 2022Allow2200YesNo
17088677MEMORY DEVICE MANAGEMENT SYSTEM, MEMORY DEVICE MANAGEMENT METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM ERASING DATA STORED IN MEMORY DEVICE IF A VALUE OF A FIRST KEY AND SECOND KEY ARE DIFFERENTNovember 2020October 2022Allow2330YesNo
17018024PROCESSING SYSTEM AND EXECUTE IN PLACE CONTROL METHODSeptember 2020November 2023Abandon3830YesNo
17017626ENHANCED READ-AHEAD CAPABILITY FOR STORAGE DEVICESSeptember 2020May 2022Allow2000YesNo
17000509MEMORY CONTROL SYSTEM FOR SETTING GARBAGE COLLECTION FREQUENCY HIGHER IN DIRTY MODEAugust 2020April 2022Allow2020YesNo
16999381PERSISTING CONFIGURATION INFORMATIONAugust 2020March 2022Allow1900YesNo
16985790REORDERING A DESCRIPTOR QUEUE WHILE SEARCHING THE QUEUE OF DESCRIPTORS CORRESPONDING TO MAP SEGMENTSAugust 2020September 2022Allow2620YesNo
16943143Media Management Based on Data Access MetricsJuly 2020November 2022Allow2720YesNo
16937671Adaptive Address TrackingJuly 2020April 2022Allow2120YesNo
16928932Adaptive Address TrackingJuly 2020March 2022Allow2020YesNo
16927756MEMORY SYSTEM FOR GARBAGE COLLECTION USING PAGE OFFSETS, INVALID OFFSET RATIO, SEQUENTIAL RATIO, AND LOGICAL ADDRESS PREDICTIONJuly 2020September 2021Allow1400YesNo
16922612MEMORY DEVICE CONTROLLING INCLUDING READING FROM A FIRST MEMORY AND WRITING TO A SECOND MEMORY BASED ON TIMING AND CONTROL SIGNALSJuly 2020July 2022Allow2420NoNo
16917510SMART FACTORY RESET PROCEDURE USING ONE OR MORE COMMANDS AT LEAST ON USER DATA AND SYSTEM DATAJune 2020September 2022Allow2620YesNo
16906879EFFICIENT CONTINUATION STACK STORAGE IN LANGUAGES WITH A GARBAGE COLLECTORJune 2020November 2022Allow2920YesNo
16885602Predicting Usable MemoryMay 2020March 2021Allow1000YesNo
16766932METHOD FOR PERFORMING READ-AHEAD IN DATA STORAGE SYSTEMSMay 2020May 2021Allow1200NoNo
16882120MEMORY DEVICE AND METHOD FOR MANAGING READ COUNTS OF MEMORY DEVICEMay 2020April 2022Allow2310YesNo
16879998MEMORY SYSTEM, MEMORY CONTROLLER AND METHOD FOR MINIMIZING DATA LOSS USING RECOVERY OPERATIONS IN SUDDEN POWER LOSS EVENTSMay 2020May 2022Allow2420YesNo
16754537Garbage Data Scrubbing Method, and DeviceApril 2020May 2021Allow1300YesNo
16816313SOLID-STATE DRIVE PERFORMANCE AND LIFESPAN BASED ON DATA AFFINITYMarch 2020March 2022Allow2420YesNo
16813265LOCKING STRUCTURES IN FLASH MEMORYMarch 2020February 2022Allow2320NoNo
16810833SYSTEM AND METHOD OF USING PERSISTENT MEMORY TO SUPPORT SMALL-SIZED DATA APPEND FOR OBJECT STOREMarch 2020March 2023Allow3630YesNo
16789791SYSTEMS AND METHODS FOR RESTORING DATA FROM NETWORK ATTACHED STORAGEFebruary 2020September 2021Abandon1910NoNo
16788196SELECTING DATA TRANSFER UNITS ASSOCIATED WITH A DATA STREAM FOR GARBAGE COLLECTIONFebruary 2020February 2022Allow2420YesNo
16735304SHINGLED MAGNETIC RECORDING HARD DISK DRIVE MEDIA CACHE COPY TRANSFERJanuary 2020August 2024Allow5540YesYes
16724026DATA ENCRYPTION BASED ON IMMUTABLE POINTERSDecember 2019August 2022Allow3200YesNo
16715918STORAGE DEVICE FOR PERFORMING DUMP OPERATION, METHOD OF OPERATING STORAGE DEVICE, COMPUTING SYSTEM INCLUDING STORAGE DEVICE AND HOST DEVICE FOR CONTROLLING STORAGE DEVICE, AND METHOD OF OPERATING COMPUTING SYSTEMDecember 2019June 2022Allow3021YesNo
16656046DEEP DATA-COMPRESSIONOctober 2019October 2021Allow2420YesNo
16600882SYSTEMS AND METHODS FOR PROVIDING CUSTOMER SERVICE FUNCTIONALITY DURING PORTFOLIO MIGRATION DOWNTIMEOctober 2019February 2022Allow2840YesNo
16529753METHOD AND SYSTEM FOR INTELLIGENTLY PROVISIONING RESOURCES IN STORAGE SYSTEMSAugust 2019August 2022Allow3700YesNo
16510760RESTORATIONS OF VIRTUAL MACHINES IN VIRTUAL SYSTEMS USING A RESTORATION POLICYJuly 2019November 2021Allow2820YesNo
16508711STORAGE SYSTEM AND METHOD OF DYNAMICALLY MANAGING POWER OF STORAGE SYSTEM ACCORDING TO A MONITORED OPERATING STATE OF A COMPUTING DEVICEJuly 2019June 2022Allow3540YesNo
16445005MEMORY CONTROLLER AND OPERATING METHOD THEREOFJune 2019January 2021Allow1900YesNo
16408161MEMORY SYSTEM AND OPERATING METHOD THEREOFMay 2019May 2021Abandon2410NoNo
16405752WORKLOAD BASED DATA MANAGEMENT SELECTING STORAGE ZONE PERFORMANCE CORRESPONDING TO STORAGE DEVICE WORKLOADMay 2019January 2023Abandon4420NoYes
16395935SYSTEM, METHOD AND APPARATUS FOR SECURE FUNCTIONS AND CACHE LINE DATAApril 2019November 2020Allow1800YesNo
16380133PROVIDING SERVICE ADDRESS SPACE FOR DIAGNOSTICS COLLECTIONApril 2019April 2021Allow2411NoNo
16378828ACCESSING COMPUTER MEMORY OF A MEMORY POOL IN A MULTI-NODE SYSTEM USING ACCESS CONTROL INSTRUCTIONApril 2019May 2021Abandon2520YesNo
16371526INCREMENTAL DATA RESTORATION METHOD AND APPARATUSApril 2019July 2021Abandon2720NoNo
16286802DYNAMIC BLOCK-LEVEL COMPRESSION UTILIZATIONFebruary 2019January 2022Abandon3540NoNo
16285189Object-Level Metadata-Preserving Cross Heterogeneous Operating Systems Backup And Restore Apparatuses, Methods And SystemsFebruary 2019June 2020Allow1500NoNo
16282181ERASE BLOCK TRIMMING FOR HETEROGENOUS FLASH MEMORY STORAGE DEVICESFebruary 2019June 2022Allow4040YesYes
16249779EVENT LOCK STORAGE DEVICEJanuary 2019March 2022Abandon3830YesNo
16238342STORAGE DEVICE STORING DATA IN ORDER BASED ON BARRIER COMMANDJanuary 2019April 2023Allow5130YesNo
16205950SOLID STATE DRIVE (SSD) MEMORY SYSTEM IMPROVING THE SPEED OF A READ OPERATION USING PARALLEL DMA DATA TRANSFERSNovember 2018October 2021Abandon3530YesNo
16193412SYSTEMS AND METHODS FOR RESTORING DATA FROM NETWORK ATTACHED STORAGENovember 2018August 2019Abandon910NoNo
16174504MIGRATING AN ENCODED DATA SLICE BASED ON AN END-OF-LIFE MEMORY LEVEL OF A MEMORY DEVICEOctober 2018March 2020Allow1700NoNo
16147265DYNAMICALLY DETERMINING TRACKS TO PRESTAGE FROM STORAGE TO CACHE BY TRAINING A MACHINE LEARNING MODULESeptember 2018November 2020Allow2620YesNo
16114130RECONFIGURABLE CIRCUIT ARRAY USING INSTRUCTIONS INCLUDING A FETCH CONFIGURATION DATA PORTION AND A TRANSFER CONFIGURATION DATA PORTIAugust 2018December 2020Abandon2740YesNo
16013108TAPE DRIVE DATA RECLAMATIONJune 2018March 2020Allow2100NoNo
16012779Dynamically determining tracks to prestage from storage to cache using a machine learning moduleJune 2018November 2023Allow6040YesYes
16012427METHOD AND APPARATUS FOR OPTIMIZING CALIBRATIONS OF A MEMORY SUBSYSTEMJune 2018August 2020Allow2620YesNo
16012311ENHANCED READ-AHEAD CAPABILITY FOR STORAGE DEVICESJune 2018July 2021Allow3740YesNo
16012470SYSTEM AND METHOD FOR OPTIMIZING PERFORMANCE OF A SOLID-STATE DRIVE USING A DEEP NEURAL NETWORKJune 2018December 2020Allow3020YesNo
15947699LOGGING CACHE INFLUXES BY REQUEST TO A HIGHER-LEVEL CACHEApril 2018January 2020Allow2100YesNo
15910746SERVER-ASSISTED NETWORK DATA ARCHIVINGMarch 2018September 2019Allow1920YesNo
15906938DATA STORAGE DEVICE ADJUSTING COMMAND RATE PROFILE BASED ON OPERATING MODEFebruary 2018August 2020Abandon3010NoNo
15898372TRACE RECORDING BY LOGGING INFLUXES TO AN UPPER-LAYER SHARED CACHE, PLUS CACHE COHERENCE PROTOCOL TRANSITIONS AMONG LOWER-LAYER CACHESFebruary 2018March 2023Allow6040YesYes

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner AYASH, MARWAN.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
23
Examiner Affirmed
14
(60.9%)
Examiner Reversed
9
(39.1%)
Reversal Percentile
60.7%
Higher than average

What This Means

With a 39.1% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings
36
Allowed After Appeal Filing
13
(36.1%)
Not Allowed After Appeal Filing
23
(63.9%)
Filing Benefit Percentile
59.2%
Higher than average

Understanding Appeal Filing Strategy

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, 36.1% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.

Strategic Recommendations

Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.

Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Examiner AYASH, MARWAN - Prosecution Strategy Guide

Executive Summary

Examiner AYASH, MARWAN works in Art Unit 2133 and has examined 229 patent applications in our dataset. With an allowance rate of 76.0%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 34 months.

Allowance Patterns

Examiner AYASH, MARWAN's allowance rate of 76.0% places them in the 42% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.

Office Action Patterns

On average, applications examined by AYASH, MARWAN receive 2.81 office actions before reaching final disposition. This places the examiner in the 82% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by AYASH, MARWAN is 34 months. This places the examiner in the 42% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +18.1% benefit to allowance rate for applications examined by AYASH, MARWAN. This interview benefit is in the 60% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 24.1% of applications are subsequently allowed. This success rate is in the 35% 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.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 10.7% of cases where such amendments are filed. This entry rate is in the 11% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.

Pre-Appeal Conference Effectiveness

When applicants request a pre-appeal conference (PAC) with this examiner, 28.6% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 30% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 54.0% of appeals filed. This is in the 25% percentile among all examiners. Of these withdrawals, 25.9% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.

Petition Practice

When applicants file petitions regarding this examiner's actions, 63.2% are granted (fully or in part). This grant rate is in the 68% 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 Cooperation and Flexibility

Examiner's Amendments: This examiner makes examiner's amendments in 0.9% of allowed cases (in the 66% 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 10% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.

Prosecution Strategy Recommendations

Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:

  • Expect multiple rounds of prosecution: This examiner issues more office actions than average. Address potential issues proactively in your initial response and consider requesting an interview early in prosecution.
  • Plan for RCE after final rejection: This examiner rarely enters after-final amendments. Budget for an RCE in your prosecution strategy if you receive a final rejection.

Relevant MPEP Sections for Prosecution Strategy

  • MPEP § 713.10: Examiner interviews - available before Notice of Allowance or transfer to PTAB
  • MPEP § 714.12: After-final amendments - may be entered "under justifiable circumstances"
  • MPEP § 1002.02(c): Petitionable matters to Technology Center Director
  • MPEP § 1004: Actions requiring primary examiner signature (allowances, final rejections, examiner's answers)
  • MPEP § 1207.01: Appeal conferences - mandatory for all appeals
  • MPEP § 1214.07: Reopening prosecution after appeal

Important Disclaimer

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.