SlideShare una empresa de Scribd logo
1 de 29
Descargar para leer sin conexión
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Working with Examiner Citations from
US Patent Documents	

Anthony Trippe	

Managing Director – Patinformatics, LLC	

PIUG NE Conference	

New Brunswick, NJ – 01 October2013
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Citations on US Patent Documents Come from
Several Sources	

•  From the applicant – Form SB08 (aka an
Information Disclosure Statement or IDS)	

•  From the examiner – Form 892	

•  From third-party submissions – not common, yet,
and the details are still being worked out on these
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
In the US, there is a Duty of Disclosure	

•  According to 37 C.F.R. 1.56, entitled Duty to disclose
information material to patentability, applicants for US
patents have a duty of disclosure, candor and good faith to
notify the Office of these references	

•  The Manual of Patent Examining Procedures (MPEP)
provides the following guidance in this regard:	

The Office encourages applicants to carefully examine:	

•  Prior art cited in search reports of a foreign patent office in
a counterpart application	

•  The closest information over which individuals associated
with the filing or prosecution of a patent application believe
any pending claim patentably defines, to make sure that any
material information contained therein is disclosed to the
Office
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Analysts Need to Consider the Source when
Applying Citations to their Analyses	

•  Office requires the applicants to provide the “closest
information”	

•  But citations on an IDS can sometimes be quite
lengthy	

•  Some commentators have questioned how relevant
some of these citations are to the case at hand and
whether the examiner really considers them during
the case	

•  Considering all citations can still be a valuable exercise
for exploring the development of a technology
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Examiner Citations, on US Patents, are Likely to
be Closer to the Source Material	

•  Form 892, referred to as the List of References Identified
by the Examiner, represent the prior art used for the
various office actions that take place during prosecution	

•  These references can lead to rejections of various claims
within an office action or they can simply be mentioned as
being “made of record, but not considered”	

•  In all cases, citations on Form 892 are hand-picked by the
examiner, based on their relevance to the application at
hand, and can be considered to be highly likely to be on the
same topic as the case	

•  All of the citation forms can be found by referring to the
Display References tab when looking at a case in US Public
PAIR
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Separating Types of Citations – a Case Study 	

•  A search on Thomson Innovation for Allure
Energy US patent documents generates ten
granted patents and twenty-nine pre-grant
applications for a total of 39 documents	

•  28 of these document have at least one forward
patent citation associated with them according to
the database.
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
But First the Grants and the Pre-grant
Publications Need to be Reconciled	

•  In the case of the ten granted Allure Energy patents, all ten
have pre-grant applications associated with them	

•  In only one of the cases both the granted patent, and the
corresponding pre-grant application don’t have any forward
citations	

•  Three of the granted patents have no citations themselves
but their corresponding pre-grant applications do	

•  In the case of these nine granted patents the data
associated with the pre-grant application needs to be
added to the data associated with the grant so that it
represents the accumulated citations for the full lifecycle of
the document
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
The Following Table Demonstrates This
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Data Needs to be Exported from Innovation and
Merged Before Analysis can be Conducted	

•  Export Citing References Details – Patents field	

•  Field for US8,082,065 looks like this:	

•  US20120029713A1,US, ,7 (Pre-search),
2010-08-02,GEN ELECTRIC |
US20120116597A1,US, ,7 (Pre-search),
2010-11-09,GEN ELECTRIC | US8386087B2,US, ,0
(Examiner),2010-08-02,GEN ELECTRIC,SPICER
LUCAS BRYANT,BESORE JOHN
K,WORTHINGTON TIMOTHY DALE,FINCH
MICHAEL FRANCIS
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
This single field contains a tremendous amount
of information on the ‘065 document	

•  The ‘065 patent has three forward citations associated
with it (so far) and, in this case, they are separated by
a vertical bar (|) between each entry	

•  Within each entry we find six pieces of information
associated with each of the three citations	

•  These are separated by a comma and represent the
citing patent number, the citing patent country, the
type of citation (examiner or applicant) for
international reports (blank in this example) and for
the US, the citing patent application date and the citing
patent applicant
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Continue Processing the Exported Data and
Send the CSV File to Open Refine	

•  If the application number is exported with the
publication number and the Cited Reference Details –
Patent it can be sorted on in MS Excel so that the pre-
grant applications are in the row next to the
corresponding granted patents	

•  Simply copy the data from the Cited Reference Details
– Patent cell for the pre-grant application and paste it
on to the end of the data associated with the
corresponding granted patent	

•  Remember to include a horizontal bar after the data in
the granted patent cell before pasting in the data from
the pre-grant application
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
The Data Associated with the ‘605 Patent Now
Looks Like This:	

•  US20120029713A1,US, ,7 (Pre-search),2010-08-02,GEN ELECTRIC |
US20120116597A1,US, ,7 (Pre-search),2010-11-09,GEN ELECTRIC |
US8386087B2,US, ,0 (Examiner),2010-08-02,GEN ELECTRIC,SPICER
LUCAS BRYANT,BESORE JOHN K,WORTHINGTON TIMOTHY
DALE,FINCH MICHAEL FRANCIS | US20110122798A1,US, ,7 (Pre-
search),2009-11-24,SILVER SPRING NETWORKS INC |
US20110257804A1,US, ,7 (Pre-search),2010-04-14,RAYTHEON CO |
US20120023225A1,US, ,7 (Pre-search),2009-07-20, |
US20120130513A1,US, ,7 (Pre-search),2010-11-18,VERIZON PATENT
& LICENSING INC | US20120198083A1,US, ,7 (Pre-search),
2011-01-27,OPENPEAK INC | US8375118B2,US, ,0 (Examiner),
2010-11-18,VERIZON PATENT & LICENSING INC |
US8396602B2,US, ,11 (Examiner),2009-07-20,ALLURE ENERGY
INC,IMES KEVIN R,HOLLISTER JAMES | WO2012163901A1,WO,X, ,
2011-06-02,NOKIA SIEMENS NETWORKS GMBH,DE LA RUE
MICHAEL,SINGH ABHINAV,GULAK MACIEJ,NAKAMURAKARE
MANUEL,SOEIMA MARCO AURELIO,KJ BOBY
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
PROCESSING DATA WITH OPEN
REFINE
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Create and Choose File in Open Refine
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Choose the Parsing Options
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Created Project
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Splitting multi-value cells using Open Refine
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Fill down operation in Open Refine
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Splitting multi-value cell into several columns
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Let’s Clean up a Few Items Before Exporting
Out of Open Refine and Into Excel	

•  Rename column Citing References Details – Patents 1
to Citing References Details – PN	

•  Rename column Citing References Details – Patents 2
to Citing References Details – Patents PC	

•  Rename column Citing References Details – Patents 4
to Citing References Details – Patents Citation Type	

•  Rename column Citing References Details – Patents 5
to Citing References Details – Patents AD	

•  Rename column Citing References Details – Patents 6
to Citing References Details – Patents Citing Assignee
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
How Does the Allure Energy Portfolio Look
with Regards to Examiner Citations?	

•  Citation type 7 refers to citations on Form
892 for pre-grant applications that have
not issued yet	

•  Looking at the totals for examiner vs.
Applicant it can be seen that 144 of the
147 citations are coming from the
examiner	

•  90 of these are associated with pre-grant
applications and 30 are associated with US
granted patents	

•  The A, Y, X and XP types are coming
from a handful of cases where the Allure
Energy documents were used in an
International Search Report from WO
documents
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Which Companies are Having Allure Energy
Documents Cited Against them by Examiners	

•  Allure Energy has their own art
cited against them most frequently	

•  Coming in a close second is Verizon	

•  GE, Sony, Aruba and IBM are also
seeing Allure Energy documents
being cited against them	

•  Nest, who is the object of the
Allure Energy patent infringement
suit also makes an appearance
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
While US Doesn’t Have X & Y Documents
There are Different Types of Rejections	

•  Category “X” is applicable where a document is
such that when taken alone, a claimed invention
cannot be considered novel or cannot be
considered to involve an inventive step	

•  Category “Y” is applicable where a document is
such that a claimed invention cannot be
considered to involve an inventive step when the
document is combined with one or more other
such documents, such combination being obvious
to a person skilled in the art
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
While US Doesn’t Have X & Y Documents
There are Different Types of Rejections	

•  Claim Rejections – 35 USC §102	

•  The following is a quotation of the appropriate paragraphs of 35 U.S.C.
102 that form the basis for the rejections under this section made in
this Office action:	

A person shall be entitled to a patent unless -	

(e) the invention was described in (1) an application for patent, published
under section 122(b), by another filed in the United States before the
invention by the applicant for patent or (2) a patent granted on an
application for patent by another filed in the United States before the
invention by the applicant for patent, except that an international application
filed under the treaty defined in section 351(a) shall have the effects for
purposes of this subsection of an application filed in the United States only if
the international application designated the United States and was published
under Article 21(2) of such treaty in the English language
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
While US Doesn’t Have X & Y Documents
There are Different Types of Rejections	

•  Claim Rejections – 35 USC § 103	

•  The following is a quotation of 35 U.S.C. 103(a) which
forms the basis for all obviousness rejections set forth in
this Office action:	

(a) A patent may not be obtained though the invention is not
identically disclosed or described as set forth in section 102 of
this title, if the differences between the subject matter sought
to be patented and the prior art are such that the subject
matter as a whole would have been obvious at the time the
invention was made to a person having ordinary skill in the art
to which said subject matter pertains. Patentability shall not be
negatived by the manner in which the invention was made
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
102 and 103 Rejections are not Listed on Form
892 and are not in Online Databases	

•  Rejections previously had to be looked up by
downloading non-final and final Office Actions from
Public PAIR	

•  Recently, a service called Patent River, has launched
that provides information on blocking citations, or
Forward Rejections, for US patent documents	

•  Company accomplishes this by collecting data from a
variety of public sources and compiling reports on the
102 and 103 rejections associated with a patent or
portfolio of interest
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Forward Rejections Report from Patent River
Provides the Details on Examiner Citations	

•  The report provides the Allure Energy document that led
to the rejection, the assignee of the application at issue, the
application number at issue and the current status of the
document	

•  Also provides the type of rejection, when the rejection was
generated, whether it was a final or non-final rejection,
whether the claims were amended in the response and if
the rejection led to an abandonment	

•  Finally, and perhaps most importantly, the report contains
a link for downloading the specific Office Action	

•  Applicant response and amended claims are also available
for download
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Example of Patent River Report
© All rights reserved. Not for reproduction, distribution or sale.	

Patinformatics, LLC®	
Data Driven Decisions	
Patent Strategy and Analytics Services	
Conclusions	

•  Over the past decade the US has moved from a point
where there were no asterisks and no electronic file
wrappers so citations from the examiner or the
applicant could not be distinguished from one another
without looking at the file wrapper by hand	

•  Trying to distinguish examiner from applicant citations
under those circumstances was nearly impossible and
so it simply wasn’t done unless it was absolutely
imperative to do so, say for litigation	

•  The situation is much better today, where citations
can be filtered or searched for, by whether they came
from the examiner or the applicant and the source of
the citation can be seen in most database records
showing the citation data

Más contenido relacionado

La actualidad más candente

ICIC 2014 The Information World Doesn’t Stop at Patents!
ICIC 2014 The Information World Doesn’t Stop at Patents! ICIC 2014 The Information World Doesn’t Stop at Patents!
ICIC 2014 The Information World Doesn’t Stop at Patents! Dr. Haxel Consult
 
ICIC 2014 New Product Introduction LexisNexis
ICIC 2014 New Product Introduction LexisNexisICIC 2014 New Product Introduction LexisNexis
ICIC 2014 New Product Introduction LexisNexisDr. Haxel Consult
 
What might happen trying to move research into everyday life
What might happen trying to move research into everyday lifeWhat might happen trying to move research into everyday life
What might happen trying to move research into everyday lifeLino Giusti
 
ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques Dr. Haxel Consult
 
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...Dr. Haxel Consult
 
Market/Electoral Research for Executives
Market/Electoral Research for ExecutivesMarket/Electoral Research for Executives
Market/Electoral Research for ExecutivesJude Calvillo
 
Patent Monetization
Patent MonetizationPatent Monetization
Patent MonetizationErik Oliver
 
Miniaturized Gas Sensors Patent Landscape 2016 Sample
Miniaturized Gas Sensors Patent Landscape 2016 SampleMiniaturized Gas Sensors Patent Landscape 2016 Sample
Miniaturized Gas Sensors Patent Landscape 2016 SampleKnowmade
 
AI-SDV 2021: Nils Newmann - AI – Who is in control and why is that important?
AI-SDV 2021: Nils Newmann - AI – Who is in control and why is that important?AI-SDV 2021: Nils Newmann - AI – Who is in control and why is that important?
AI-SDV 2021: Nils Newmann - AI – Who is in control and why is that important?Dr. Haxel Consult
 
ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)
ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)
ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)Dr. Haxel Consult
 
II-PIC 2017: China: Life after the Patent Tsunami
II-PIC 2017: China: Life after the Patent TsunamiII-PIC 2017: China: Life after the Patent Tsunami
II-PIC 2017: China: Life after the Patent TsunamiDr. Haxel Consult
 
Startup Building Blocks, Challenges, and Pitfalls From Formation to Growth | ...
Startup Building Blocks, Challenges, and Pitfalls From Formation to Growth | ...Startup Building Blocks, Challenges, and Pitfalls From Formation to Growth | ...
Startup Building Blocks, Challenges, and Pitfalls From Formation to Growth | ...UCICove
 
II-SDV 2016 Bob Stembridge We have all the Time in the World; a Review of ho...
II-SDV 2016 Bob Stembridge  We have all the Time in the World; a Review of ho...II-SDV 2016 Bob Stembridge  We have all the Time in the World; a Review of ho...
II-SDV 2016 Bob Stembridge We have all the Time in the World; a Review of ho...Dr. Haxel Consult
 

La actualidad más candente (18)

ICIC 2014 The Information World Doesn’t Stop at Patents!
ICIC 2014 The Information World Doesn’t Stop at Patents! ICIC 2014 The Information World Doesn’t Stop at Patents!
ICIC 2014 The Information World Doesn’t Stop at Patents!
 
ICIC 2014 New Product Introduction LexisNexis
ICIC 2014 New Product Introduction LexisNexisICIC 2014 New Product Introduction LexisNexis
ICIC 2014 New Product Introduction LexisNexis
 
What might happen trying to move research into everyday life
What might happen trying to move research into everyday lifeWhat might happen trying to move research into everyday life
What might happen trying to move research into everyday life
 
ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques
 
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...
 
Protecting IP Globally
Protecting IP GloballyProtecting IP Globally
Protecting IP Globally
 
AI-SDV Meeting in Nice
AI-SDV Meeting in NiceAI-SDV Meeting in Nice
AI-SDV Meeting in Nice
 
Market/Electoral Research for Executives
Market/Electoral Research for ExecutivesMarket/Electoral Research for Executives
Market/Electoral Research for Executives
 
Patent Monetization
Patent MonetizationPatent Monetization
Patent Monetization
 
Miniaturized Gas Sensors Patent Landscape 2016 Sample
Miniaturized Gas Sensors Patent Landscape 2016 SampleMiniaturized Gas Sensors Patent Landscape 2016 Sample
Miniaturized Gas Sensors Patent Landscape 2016 Sample
 
Support for Research Data Management, by Esther Dzalé Yeumo Kaboré
Support for Research Data Management, by Esther Dzalé Yeumo KaboréSupport for Research Data Management, by Esther Dzalé Yeumo Kaboré
Support for Research Data Management, by Esther Dzalé Yeumo Kaboré
 
AI-SDV 2021: Nils Newmann - AI – Who is in control and why is that important?
AI-SDV 2021: Nils Newmann - AI – Who is in control and why is that important?AI-SDV 2021: Nils Newmann - AI – Who is in control and why is that important?
AI-SDV 2021: Nils Newmann - AI – Who is in control and why is that important?
 
ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)
ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)
ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)
 
II-PIC 2017: China: Life after the Patent Tsunami
II-PIC 2017: China: Life after the Patent TsunamiII-PIC 2017: China: Life after the Patent Tsunami
II-PIC 2017: China: Life after the Patent Tsunami
 
Startup Building Blocks, Challenges, and Pitfalls From Formation to Growth | ...
Startup Building Blocks, Challenges, and Pitfalls From Formation to Growth | ...Startup Building Blocks, Challenges, and Pitfalls From Formation to Growth | ...
Startup Building Blocks, Challenges, and Pitfalls From Formation to Growth | ...
 
Intellectual property
Intellectual propertyIntellectual property
Intellectual property
 
Unified Patents
Unified PatentsUnified Patents
Unified Patents
 
II-SDV 2016 Bob Stembridge We have all the Time in the World; a Review of ho...
II-SDV 2016 Bob Stembridge  We have all the Time in the World; a Review of ho...II-SDV 2016 Bob Stembridge  We have all the Time in the World; a Review of ho...
II-SDV 2016 Bob Stembridge We have all the Time in the World; a Review of ho...
 

Similar a Working with US Examiner Citations Trippe

A Sea Change is Coming to Patent Analytics - Brought to You by Big Data
A Sea Change is Coming to Patent Analytics - Brought to You by Big DataA Sea Change is Coming to Patent Analytics - Brought to You by Big Data
A Sea Change is Coming to Patent Analytics - Brought to You by Big Dataatripper
 
A Sea Change is Coming to Patent Analytics - Brought to You by Big Data
A Sea Change is Coming to Patent Analytics - Brought to You by Big DataA Sea Change is Coming to Patent Analytics - Brought to You by Big Data
A Sea Change is Coming to Patent Analytics - Brought to You by Big Dataatripper
 
Big Data Analysis for Standard Essential Patents
Big Data Analysis for Standard Essential PatentsBig Data Analysis for Standard Essential Patents
Big Data Analysis for Standard Essential PatentsAlex G. Lee, Ph.D. Esq. CLP
 
Patent introduction and overview atlanta january 2014
Patent introduction and overview atlanta january 2014Patent introduction and overview atlanta january 2014
Patent introduction and overview atlanta january 2014Melanie Brandt
 
Patent introduction and overview atlanta january 2014
Patent introduction and overview atlanta january 2014Patent introduction and overview atlanta january 2014
Patent introduction and overview atlanta january 2014Melanie Brandt
 
Making ‘Big Data’ Your Ally – Using data analytics to improve compliance, due...
Making ‘Big Data’ Your Ally – Using data analytics to improve compliance, due...Making ‘Big Data’ Your Ally – Using data analytics to improve compliance, due...
Making ‘Big Data’ Your Ally – Using data analytics to improve compliance, due...emermell
 
Consumer Behavior: Factors Affecting Member Attrition and Retention
Consumer Behavior: Factors Affecting Member Attrition and RetentionConsumer Behavior: Factors Affecting Member Attrition and Retention
Consumer Behavior: Factors Affecting Member Attrition and RetentionAltegra Health
 
Technology Transfer for Knowledge Translation Practitioners
Technology Transfer for Knowledge Translation PractitionersTechnology Transfer for Knowledge Translation Practitioners
Technology Transfer for Knowledge Translation PractitionersJennifer Flagg
 
Social Business =Cloud + Big Data + Social Media + Mobile Computing
Social Business =Cloud + Big Data + Social Media + Mobile ComputingSocial Business =Cloud + Big Data + Social Media + Mobile Computing
Social Business =Cloud + Big Data + Social Media + Mobile ComputingWilliam Tanenbaum
 
5 lexis nexis legal innovation powered by ai_min chen
5 lexis nexis legal innovation powered by ai_min chen5 lexis nexis legal innovation powered by ai_min chen
5 lexis nexis legal innovation powered by ai_min chenAnnaKurusu
 
10 Things to Consider When Building a CTMS Business Case
10 Things to Consider When Building a CTMS Business Case10 Things to Consider When Building a CTMS Business Case
10 Things to Consider When Building a CTMS Business CasePerficient, Inc.
 
WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...
WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...
WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...Chris Takacs
 
The Innovator’s Journey: Insurance Sector Insights
The Innovator’s Journey: Insurance Sector InsightsThe Innovator’s Journey: Insurance Sector Insights
The Innovator’s Journey: Insurance Sector InsightsState Street
 
Waters USA 2013: Data Leaders vs. Data Laggards
Waters USA 2013: Data Leaders vs. Data LaggardsWaters USA 2013: Data Leaders vs. Data Laggards
Waters USA 2013: Data Leaders vs. Data LaggardsState Street
 
Treprostinil - Comprehensive patent search
Treprostinil  - Comprehensive patent searchTreprostinil  - Comprehensive patent search
Treprostinil - Comprehensive patent searchReportsnReports
 

Similar a Working with US Examiner Citations Trippe (20)

A Sea Change is Coming to Patent Analytics - Brought to You by Big Data
A Sea Change is Coming to Patent Analytics - Brought to You by Big DataA Sea Change is Coming to Patent Analytics - Brought to You by Big Data
A Sea Change is Coming to Patent Analytics - Brought to You by Big Data
 
A Sea Change is Coming to Patent Analytics - Brought to You by Big Data
A Sea Change is Coming to Patent Analytics - Brought to You by Big DataA Sea Change is Coming to Patent Analytics - Brought to You by Big Data
A Sea Change is Coming to Patent Analytics - Brought to You by Big Data
 
Big Data Analysis for Standard Essential Patents
Big Data Analysis for Standard Essential PatentsBig Data Analysis for Standard Essential Patents
Big Data Analysis for Standard Essential Patents
 
Machine Learning in Healthcare: A Case Study
Machine Learning in Healthcare: A Case StudyMachine Learning in Healthcare: A Case Study
Machine Learning in Healthcare: A Case Study
 
Clinical Data Capture
Clinical Data CaptureClinical Data Capture
Clinical Data Capture
 
Patent introduction and overview atlanta january 2014
Patent introduction and overview atlanta january 2014Patent introduction and overview atlanta january 2014
Patent introduction and overview atlanta january 2014
 
Patent introduction and overview atlanta january 2014
Patent introduction and overview atlanta january 2014Patent introduction and overview atlanta january 2014
Patent introduction and overview atlanta january 2014
 
Big Data: How does it fit in your data strategy?
Big Data: How does it fit in your data strategy?Big Data: How does it fit in your data strategy?
Big Data: How does it fit in your data strategy?
 
Querying Patent Data for Empirical Scholarship : Tools and Strategies
Querying Patent Data for Empirical Scholarship : Tools and StrategiesQuerying Patent Data for Empirical Scholarship : Tools and Strategies
Querying Patent Data for Empirical Scholarship : Tools and Strategies
 
Making ‘Big Data’ Your Ally – Using data analytics to improve compliance, due...
Making ‘Big Data’ Your Ally – Using data analytics to improve compliance, due...Making ‘Big Data’ Your Ally – Using data analytics to improve compliance, due...
Making ‘Big Data’ Your Ally – Using data analytics to improve compliance, due...
 
Consumer Behavior: Factors Affecting Member Attrition and Retention
Consumer Behavior: Factors Affecting Member Attrition and RetentionConsumer Behavior: Factors Affecting Member Attrition and Retention
Consumer Behavior: Factors Affecting Member Attrition and Retention
 
Technology Transfer for Knowledge Translation Practitioners
Technology Transfer for Knowledge Translation PractitionersTechnology Transfer for Knowledge Translation Practitioners
Technology Transfer for Knowledge Translation Practitioners
 
Social Business =Cloud + Big Data + Social Media + Mobile Computing
Social Business =Cloud + Big Data + Social Media + Mobile ComputingSocial Business =Cloud + Big Data + Social Media + Mobile Computing
Social Business =Cloud + Big Data + Social Media + Mobile Computing
 
5 lexis nexis legal innovation powered by ai_min chen
5 lexis nexis legal innovation powered by ai_min chen5 lexis nexis legal innovation powered by ai_min chen
5 lexis nexis legal innovation powered by ai_min chen
 
10 Things to Consider When Building a CTMS Business Case
10 Things to Consider When Building a CTMS Business Case10 Things to Consider When Building a CTMS Business Case
10 Things to Consider When Building a CTMS Business Case
 
WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...
WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...
WhitePaper-BuyersGuidePatentSearchAnalysisSoftware-AdvancedAnalysis-Corporate...
 
Claims
ClaimsClaims
Claims
 
The Innovator’s Journey: Insurance Sector Insights
The Innovator’s Journey: Insurance Sector InsightsThe Innovator’s Journey: Insurance Sector Insights
The Innovator’s Journey: Insurance Sector Insights
 
Waters USA 2013: Data Leaders vs. Data Laggards
Waters USA 2013: Data Leaders vs. Data LaggardsWaters USA 2013: Data Leaders vs. Data Laggards
Waters USA 2013: Data Leaders vs. Data Laggards
 
Treprostinil - Comprehensive patent search
Treprostinil  - Comprehensive patent searchTreprostinil  - Comprehensive patent search
Treprostinil - Comprehensive patent search
 

Working with US Examiner Citations Trippe

  • 1. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Working with Examiner Citations from US Patent Documents Anthony Trippe Managing Director – Patinformatics, LLC PIUG NE Conference New Brunswick, NJ – 01 October2013
  • 2. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Citations on US Patent Documents Come from Several Sources •  From the applicant – Form SB08 (aka an Information Disclosure Statement or IDS) •  From the examiner – Form 892 •  From third-party submissions – not common, yet, and the details are still being worked out on these
  • 3. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services In the US, there is a Duty of Disclosure •  According to 37 C.F.R. 1.56, entitled Duty to disclose information material to patentability, applicants for US patents have a duty of disclosure, candor and good faith to notify the Office of these references •  The Manual of Patent Examining Procedures (MPEP) provides the following guidance in this regard: The Office encourages applicants to carefully examine: •  Prior art cited in search reports of a foreign patent office in a counterpart application •  The closest information over which individuals associated with the filing or prosecution of a patent application believe any pending claim patentably defines, to make sure that any material information contained therein is disclosed to the Office
  • 4. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Analysts Need to Consider the Source when Applying Citations to their Analyses •  Office requires the applicants to provide the “closest information” •  But citations on an IDS can sometimes be quite lengthy •  Some commentators have questioned how relevant some of these citations are to the case at hand and whether the examiner really considers them during the case •  Considering all citations can still be a valuable exercise for exploring the development of a technology
  • 5. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Examiner Citations, on US Patents, are Likely to be Closer to the Source Material •  Form 892, referred to as the List of References Identified by the Examiner, represent the prior art used for the various office actions that take place during prosecution •  These references can lead to rejections of various claims within an office action or they can simply be mentioned as being “made of record, but not considered” •  In all cases, citations on Form 892 are hand-picked by the examiner, based on their relevance to the application at hand, and can be considered to be highly likely to be on the same topic as the case •  All of the citation forms can be found by referring to the Display References tab when looking at a case in US Public PAIR
  • 6. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Separating Types of Citations – a Case Study •  A search on Thomson Innovation for Allure Energy US patent documents generates ten granted patents and twenty-nine pre-grant applications for a total of 39 documents •  28 of these document have at least one forward patent citation associated with them according to the database.
  • 7. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services But First the Grants and the Pre-grant Publications Need to be Reconciled •  In the case of the ten granted Allure Energy patents, all ten have pre-grant applications associated with them •  In only one of the cases both the granted patent, and the corresponding pre-grant application don’t have any forward citations •  Three of the granted patents have no citations themselves but their corresponding pre-grant applications do •  In the case of these nine granted patents the data associated with the pre-grant application needs to be added to the data associated with the grant so that it represents the accumulated citations for the full lifecycle of the document
  • 8. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services The Following Table Demonstrates This
  • 9. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Data Needs to be Exported from Innovation and Merged Before Analysis can be Conducted •  Export Citing References Details – Patents field •  Field for US8,082,065 looks like this: •  US20120029713A1,US, ,7 (Pre-search), 2010-08-02,GEN ELECTRIC | US20120116597A1,US, ,7 (Pre-search), 2010-11-09,GEN ELECTRIC | US8386087B2,US, ,0 (Examiner),2010-08-02,GEN ELECTRIC,SPICER LUCAS BRYANT,BESORE JOHN K,WORTHINGTON TIMOTHY DALE,FINCH MICHAEL FRANCIS
  • 10. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services This single field contains a tremendous amount of information on the ‘065 document •  The ‘065 patent has three forward citations associated with it (so far) and, in this case, they are separated by a vertical bar (|) between each entry •  Within each entry we find six pieces of information associated with each of the three citations •  These are separated by a comma and represent the citing patent number, the citing patent country, the type of citation (examiner or applicant) for international reports (blank in this example) and for the US, the citing patent application date and the citing patent applicant
  • 11. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Continue Processing the Exported Data and Send the CSV File to Open Refine •  If the application number is exported with the publication number and the Cited Reference Details – Patent it can be sorted on in MS Excel so that the pre- grant applications are in the row next to the corresponding granted patents •  Simply copy the data from the Cited Reference Details – Patent cell for the pre-grant application and paste it on to the end of the data associated with the corresponding granted patent •  Remember to include a horizontal bar after the data in the granted patent cell before pasting in the data from the pre-grant application
  • 12. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services The Data Associated with the ‘605 Patent Now Looks Like This: •  US20120029713A1,US, ,7 (Pre-search),2010-08-02,GEN ELECTRIC | US20120116597A1,US, ,7 (Pre-search),2010-11-09,GEN ELECTRIC | US8386087B2,US, ,0 (Examiner),2010-08-02,GEN ELECTRIC,SPICER LUCAS BRYANT,BESORE JOHN K,WORTHINGTON TIMOTHY DALE,FINCH MICHAEL FRANCIS | US20110122798A1,US, ,7 (Pre- search),2009-11-24,SILVER SPRING NETWORKS INC | US20110257804A1,US, ,7 (Pre-search),2010-04-14,RAYTHEON CO | US20120023225A1,US, ,7 (Pre-search),2009-07-20, | US20120130513A1,US, ,7 (Pre-search),2010-11-18,VERIZON PATENT & LICENSING INC | US20120198083A1,US, ,7 (Pre-search), 2011-01-27,OPENPEAK INC | US8375118B2,US, ,0 (Examiner), 2010-11-18,VERIZON PATENT & LICENSING INC | US8396602B2,US, ,11 (Examiner),2009-07-20,ALLURE ENERGY INC,IMES KEVIN R,HOLLISTER JAMES | WO2012163901A1,WO,X, , 2011-06-02,NOKIA SIEMENS NETWORKS GMBH,DE LA RUE MICHAEL,SINGH ABHINAV,GULAK MACIEJ,NAKAMURAKARE MANUEL,SOEIMA MARCO AURELIO,KJ BOBY
  • 13. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services PROCESSING DATA WITH OPEN REFINE
  • 14. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Create and Choose File in Open Refine
  • 15. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Choose the Parsing Options
  • 16. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Created Project
  • 17. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Splitting multi-value cells using Open Refine
  • 18. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Fill down operation in Open Refine
  • 19. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Splitting multi-value cell into several columns
  • 20. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Let’s Clean up a Few Items Before Exporting Out of Open Refine and Into Excel •  Rename column Citing References Details – Patents 1 to Citing References Details – PN •  Rename column Citing References Details – Patents 2 to Citing References Details – Patents PC •  Rename column Citing References Details – Patents 4 to Citing References Details – Patents Citation Type •  Rename column Citing References Details – Patents 5 to Citing References Details – Patents AD •  Rename column Citing References Details – Patents 6 to Citing References Details – Patents Citing Assignee
  • 21. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services How Does the Allure Energy Portfolio Look with Regards to Examiner Citations? •  Citation type 7 refers to citations on Form 892 for pre-grant applications that have not issued yet •  Looking at the totals for examiner vs. Applicant it can be seen that 144 of the 147 citations are coming from the examiner •  90 of these are associated with pre-grant applications and 30 are associated with US granted patents •  The A, Y, X and XP types are coming from a handful of cases where the Allure Energy documents were used in an International Search Report from WO documents
  • 22. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Which Companies are Having Allure Energy Documents Cited Against them by Examiners •  Allure Energy has their own art cited against them most frequently •  Coming in a close second is Verizon •  GE, Sony, Aruba and IBM are also seeing Allure Energy documents being cited against them •  Nest, who is the object of the Allure Energy patent infringement suit also makes an appearance
  • 23. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services While US Doesn’t Have X & Y Documents There are Different Types of Rejections •  Category “X” is applicable where a document is such that when taken alone, a claimed invention cannot be considered novel or cannot be considered to involve an inventive step •  Category “Y” is applicable where a document is such that a claimed invention cannot be considered to involve an inventive step when the document is combined with one or more other such documents, such combination being obvious to a person skilled in the art
  • 24. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services While US Doesn’t Have X & Y Documents There are Different Types of Rejections •  Claim Rejections – 35 USC §102 •  The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless - (e) the invention was described in (1) an application for patent, published under section 122(b), by another filed in the United States before the invention by the applicant for patent or (2) a patent granted on an application for patent by another filed in the United States before the invention by the applicant for patent, except that an international application filed under the treaty defined in section 351(a) shall have the effects for purposes of this subsection of an application filed in the United States only if the international application designated the United States and was published under Article 21(2) of such treaty in the English language
  • 25. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services While US Doesn’t Have X & Y Documents There are Different Types of Rejections •  Claim Rejections – 35 USC § 103 •  The following is a quotation of 35 U.S.C. 103(a) which forms the basis for all obviousness rejections set forth in this Office action: (a) A patent may not be obtained though the invention is not identically disclosed or described as set forth in section 102 of this title, if the differences between the subject matter sought to be patented and the prior art are such that the subject matter as a whole would have been obvious at the time the invention was made to a person having ordinary skill in the art to which said subject matter pertains. Patentability shall not be negatived by the manner in which the invention was made
  • 26. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services 102 and 103 Rejections are not Listed on Form 892 and are not in Online Databases •  Rejections previously had to be looked up by downloading non-final and final Office Actions from Public PAIR •  Recently, a service called Patent River, has launched that provides information on blocking citations, or Forward Rejections, for US patent documents •  Company accomplishes this by collecting data from a variety of public sources and compiling reports on the 102 and 103 rejections associated with a patent or portfolio of interest
  • 27. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Forward Rejections Report from Patent River Provides the Details on Examiner Citations •  The report provides the Allure Energy document that led to the rejection, the assignee of the application at issue, the application number at issue and the current status of the document •  Also provides the type of rejection, when the rejection was generated, whether it was a final or non-final rejection, whether the claims were amended in the response and if the rejection led to an abandonment •  Finally, and perhaps most importantly, the report contains a link for downloading the specific Office Action •  Applicant response and amended claims are also available for download
  • 28. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Example of Patent River Report
  • 29. © All rights reserved. Not for reproduction, distribution or sale. Patinformatics, LLC® Data Driven Decisions Patent Strategy and Analytics Services Conclusions •  Over the past decade the US has moved from a point where there were no asterisks and no electronic file wrappers so citations from the examiner or the applicant could not be distinguished from one another without looking at the file wrapper by hand •  Trying to distinguish examiner from applicant citations under those circumstances was nearly impossible and so it simply wasn’t done unless it was absolutely imperative to do so, say for litigation •  The situation is much better today, where citations can be filtered or searched for, by whether they came from the examiner or the applicant and the source of the citation can be seen in most database records showing the citation data