SlideShare una empresa de Scribd logo
1 de 51
Descargar para leer sin conexión
Legal Language Explorer
  Presentation @ 24th International Conference on
Legal Knowledge and Information Systems (Jurix 2011)




                             daniel martin katz
                           michael j bommarito ii
                                julie seaman
                               adam candeub
                              eugene agichtein
Law is characterized by a
relatively small number
  of highly influential
cases and jurists whose
conceptualization of law
   comes to dominate
Most Judges and Cases
Are Quickly Forgotten
But A Select Few Persist ...
Extreme Skewing is a Typical
      Feature of Legal Systems




  Katz, et al (2011)     Katz & Stafford (2010)         Geist (2009)
American Legal Academy   American Federal Judges   Austrian Supreme Court




    Smith (2007)               Smith (2007)         Post & Eisen (2000)
 U.S. Supreme Court          U.S. Law Reviews        NY Ct of Appeals
innovative use of
  language and
   metaphor is
     In Part
How Holmes
became “Holmes”
and how Posner
became “Posner”
And
 how certain cases
came to dominate the
 rest of the corpus
We Believe

The decision corpus is our
  archeological record
We Believe

 The decision corpus is our
   archeological record
  and that record can be
usefully explored using the
  tools of computational
         linguistics
We Want

To Democratize the Exploration
     of Legal Language ...
We Want

 To Democratize the Exploration
      of Legal Language ...

to folks who are not programmers
We Want

 To Democratize the Exploration
      of Legal Language ...

to folks who are not programmers

      to folks who are not
       technically inclined
We Develop a Simple Web
Interface that Leverages
    the Visual Cortex
Relies on Our Ability
    to Engage in
 Pattern Detection
To Explore Linguistic
 Patterns in Large
  Corpora of Legal
     Documents
We Start with the Full Text
 Corpus of Decisions of the
United States Supreme Court
        1791-2005
Develop a N-Gram Based Explorer
with a Portal to the Full Text, etc.
From Text to N-Grams...
Generate the N-Gram Mapping
  (1) extract the opinion text from each
  case and store it as a sequence of
  characters

  (2) convert this sequence of characters
  into a sequence of words through Word
  Tokenization (Penn Tree Bank Algorithm)

  (3) iterate over words in the length M
  sequence from index 1 to index M + 1 – N
Generate the N-Gram Mapping
Legal Language Explorer:
 A Brief Tour of The Interface
Go to
LegalLanguageExplorer.com
 And Access This Interface
Notice The Default Search Is
Interstate Commerce, Railroad, Deed
Notice The Default Search Is
Interstate Commerce, Railroad, Deed
For Each Comma Separated Phrase
The Frequency Plot Appears Below
For Each Comma Separated Phrase
The Frequency Plot Appears Below
Currently Supporting Every U.S. Supreme
   Court Decision From 1791 - 2005
Currently Supporting Every U.S. Supreme
   Court Decision From 1791 - 2005
Years Can Be Changed
   By The End User
Years Can Be Changed
   By The End User
Click Here to Access Various
 Advanced Search Features
The Advanced
Search Features
Are the Observed Trends
a Function of changes in the
 volume of the case docket?
Normalization allows End
 User to control for the
 Size of the Case Docket
Normalization allows End
 User to control for the
 Size of the Case Docket
Change the Graph Type
   By Clicking Here
An Alternative Presentation
        of the Data
Export the
    Chart Data
(If You Want to Replot in
   Stata, Excel, R, etc.)
Export the
    Chart Data
(If You Want to Replot in
   Stata, Excel, R, etc.)
The Results
(If You Want to Replot in
   Stata, Excel, R, etc.)
Access a Case List and
  Full Text Results
Here are the
 Returned
  Results
Download
 List in
  Excel
(or any .csv)
Download
 List in
  Excel
(or any .csv)
Access the
Full Text a
Particular
   Case
Click Through
  to Access
Results from
BulkResource.org
For More Information -
     Full Version of the Paper




http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1971953
For
Implementation
    Details
 (Including the Key Value
   Storage Method, etc.)



 http://www.michaelbommarito.com/
 blog/2011/12/16/building-legal-
 language-explorer-interactivity-
  and-drill-down-nosql-and-sql/
Slides will Be Posted to CLS Blog
      http://computationallegalstudies.com/
This is Only The Beginning
Stay Tuned for More in 2012

            :)




                  daniel martin katz
                  michael j bommarito ii
                  julie seaman
                  adam candeub
                  eugene agichtein

Más contenido relacionado

La actualidad más candente

The "MIT School of Law" - Keynote Presentation @Stanford CodeX FutureLaw Conf...
The "MIT School of Law" - Keynote Presentation @Stanford CodeX FutureLaw Conf...The "MIT School of Law" - Keynote Presentation @Stanford CodeX FutureLaw Conf...
The "MIT School of Law" - Keynote Presentation @Stanford CodeX FutureLaw Conf...Daniel Katz
 
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...Daniel Katz
 
Measure Twice, Cut Once - Solving the Legal Profession Biggest Challenges Tog...
Measure Twice, Cut Once - Solving the Legal Profession Biggest Challenges Tog...Measure Twice, Cut Once - Solving the Legal Profession Biggest Challenges Tog...
Measure Twice, Cut Once - Solving the Legal Profession Biggest Challenges Tog...Daniel Katz
 
Can Law Librarians Help Law Become More Data Driven ? An Open Question in Ne...
Can Law Librarians Help Law Become More Data Driven ?  An Open Question in Ne...Can Law Librarians Help Law Become More Data Driven ?  An Open Question in Ne...
Can Law Librarians Help Law Become More Data Driven ? An Open Question in Ne...Daniel Katz
 
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...Daniel Katz
 
Artificial Intelligence and Law - 
A Primer
Artificial Intelligence and Law - 
A Primer Artificial Intelligence and Law - 
A Primer
Artificial Intelligence and Law - 
A Primer Daniel Katz
 
Innovation in the Legal Services Industry - "The Future is Already Here, It i...
Innovation in the Legal Services Industry - "The Future is Already Here, It i...Innovation in the Legal Services Industry - "The Future is Already Here, It i...
Innovation in the Legal Services Industry - "The Future is Already Here, It i...Daniel Katz
 
Thoughts on Legal Prediction and Legal Metrics - Association of Corporate Cou...
Thoughts on Legal Prediction and Legal Metrics - Association of Corporate Cou...Thoughts on Legal Prediction and Legal Metrics - Association of Corporate Cou...
Thoughts on Legal Prediction and Legal Metrics - Association of Corporate Cou...Daniel Katz
 
Building Your Personal (Legal) Brand - Some Thoughts for Law Students and Oth...
Building Your Personal (Legal) Brand - Some Thoughts for Law Students and Oth...Building Your Personal (Legal) Brand - Some Thoughts for Law Students and Oth...
Building Your Personal (Legal) Brand - Some Thoughts for Law Students and Oth...Daniel Katz
 
Legal Analytics - Introduction to the Course - Professor Daniel Martin Katz +...
Legal Analytics - Introduction to the Course - Professor Daniel Martin Katz +...Legal Analytics - Introduction to the Course - Professor Daniel Martin Katz +...
Legal Analytics - Introduction to the Course - Professor Daniel Martin Katz +...Daniel Katz
 
Introduction to artificial intelligence and law
Introduction to artificial intelligence and lawIntroduction to artificial intelligence and law
Introduction to artificial intelligence and lawLawScienceTech
 
On Mapping Values in AI Governance
On Mapping Values in AI GovernanceOn Mapping Values in AI Governance
On Mapping Values in AI GovernanceGiovanni Sileno
 
Accounting Value Effects for Responsible Networking
Accounting Value Effects for Responsible NetworkingAccounting Value Effects for Responsible Networking
Accounting Value Effects for Responsible NetworkingGiovanni Sileno
 
2008 Sloan C Are You Serious
2008 Sloan C Are You Serious2008 Sloan C Are You Serious
2008 Sloan C Are You SeriousIda Jones
 
Data Security And Privacy Risks In Cloud Computing William A Tanenbaum Sourc...
Data Security And Privacy Risks In Cloud Computing  William A Tanenbaum Sourc...Data Security And Privacy Risks In Cloud Computing  William A Tanenbaum Sourc...
Data Security And Privacy Risks In Cloud Computing William A Tanenbaum Sourc...William Tanenbaum
 
Thinking outside the bar - Reinvent Law Silicon Valley 2013
Thinking outside the bar - Reinvent Law Silicon Valley 2013Thinking outside the bar - Reinvent Law Silicon Valley 2013
Thinking outside the bar - Reinvent Law Silicon Valley 2013Ron Dolin
 
ODR and Legal Tech
ODR and Legal TechODR and Legal Tech
ODR and Legal TechRon Dolin
 
The statute data swamp, Waddington CLS2022
The statute data swamp, Waddington CLS2022The statute data swamp, Waddington CLS2022
The statute data swamp, Waddington CLS2022MatthewWaddington3
 
Ethical Issues in Machine Learning Algorithms. (Part 1)
Ethical Issues in Machine Learning Algorithms. (Part 1)Ethical Issues in Machine Learning Algorithms. (Part 1)
Ethical Issues in Machine Learning Algorithms. (Part 1)Vladimir Kanchev
 

La actualidad más candente (19)

The "MIT School of Law" - Keynote Presentation @Stanford CodeX FutureLaw Conf...
The "MIT School of Law" - Keynote Presentation @Stanford CodeX FutureLaw Conf...The "MIT School of Law" - Keynote Presentation @Stanford CodeX FutureLaw Conf...
The "MIT School of Law" - Keynote Presentation @Stanford CodeX FutureLaw Conf...
 
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...
 
Measure Twice, Cut Once - Solving the Legal Profession Biggest Challenges Tog...
Measure Twice, Cut Once - Solving the Legal Profession Biggest Challenges Tog...Measure Twice, Cut Once - Solving the Legal Profession Biggest Challenges Tog...
Measure Twice, Cut Once - Solving the Legal Profession Biggest Challenges Tog...
 
Can Law Librarians Help Law Become More Data Driven ? An Open Question in Ne...
Can Law Librarians Help Law Become More Data Driven ?  An Open Question in Ne...Can Law Librarians Help Law Become More Data Driven ?  An Open Question in Ne...
Can Law Librarians Help Law Become More Data Driven ? An Open Question in Ne...
 
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...
 
Artificial Intelligence and Law - 
A Primer
Artificial Intelligence and Law - 
A Primer Artificial Intelligence and Law - 
A Primer
Artificial Intelligence and Law - 
A Primer
 
Innovation in the Legal Services Industry - "The Future is Already Here, It i...
Innovation in the Legal Services Industry - "The Future is Already Here, It i...Innovation in the Legal Services Industry - "The Future is Already Here, It i...
Innovation in the Legal Services Industry - "The Future is Already Here, It i...
 
Thoughts on Legal Prediction and Legal Metrics - Association of Corporate Cou...
Thoughts on Legal Prediction and Legal Metrics - Association of Corporate Cou...Thoughts on Legal Prediction and Legal Metrics - Association of Corporate Cou...
Thoughts on Legal Prediction and Legal Metrics - Association of Corporate Cou...
 
Building Your Personal (Legal) Brand - Some Thoughts for Law Students and Oth...
Building Your Personal (Legal) Brand - Some Thoughts for Law Students and Oth...Building Your Personal (Legal) Brand - Some Thoughts for Law Students and Oth...
Building Your Personal (Legal) Brand - Some Thoughts for Law Students and Oth...
 
Legal Analytics - Introduction to the Course - Professor Daniel Martin Katz +...
Legal Analytics - Introduction to the Course - Professor Daniel Martin Katz +...Legal Analytics - Introduction to the Course - Professor Daniel Martin Katz +...
Legal Analytics - Introduction to the Course - Professor Daniel Martin Katz +...
 
Introduction to artificial intelligence and law
Introduction to artificial intelligence and lawIntroduction to artificial intelligence and law
Introduction to artificial intelligence and law
 
On Mapping Values in AI Governance
On Mapping Values in AI GovernanceOn Mapping Values in AI Governance
On Mapping Values in AI Governance
 
Accounting Value Effects for Responsible Networking
Accounting Value Effects for Responsible NetworkingAccounting Value Effects for Responsible Networking
Accounting Value Effects for Responsible Networking
 
2008 Sloan C Are You Serious
2008 Sloan C Are You Serious2008 Sloan C Are You Serious
2008 Sloan C Are You Serious
 
Data Security And Privacy Risks In Cloud Computing William A Tanenbaum Sourc...
Data Security And Privacy Risks In Cloud Computing  William A Tanenbaum Sourc...Data Security And Privacy Risks In Cloud Computing  William A Tanenbaum Sourc...
Data Security And Privacy Risks In Cloud Computing William A Tanenbaum Sourc...
 
Thinking outside the bar - Reinvent Law Silicon Valley 2013
Thinking outside the bar - Reinvent Law Silicon Valley 2013Thinking outside the bar - Reinvent Law Silicon Valley 2013
Thinking outside the bar - Reinvent Law Silicon Valley 2013
 
ODR and Legal Tech
ODR and Legal TechODR and Legal Tech
ODR and Legal Tech
 
The statute data swamp, Waddington CLS2022
The statute data swamp, Waddington CLS2022The statute data swamp, Waddington CLS2022
The statute data swamp, Waddington CLS2022
 
Ethical Issues in Machine Learning Algorithms. (Part 1)
Ethical Issues in Machine Learning Algorithms. (Part 1)Ethical Issues in Machine Learning Algorithms. (Part 1)
Ethical Issues in Machine Learning Algorithms. (Part 1)
 

Similar a Presentation @ 24th International Conference on Legal Knowledge and Information Systems ( Jurix 2011 - Vienna )

Legal Language Explorer .com Tutorial
Legal Language Explorer .com  TutorialLegal Language Explorer .com  Tutorial
Legal Language Explorer .com TutorialDaniel Katz
 
Akoma Ntoso 1
Akoma Ntoso 1Akoma Ntoso 1
Akoma Ntoso 1tbruce
 
Corpora, Blogs and Linguistic Variation (Paderborn)
Corpora, Blogs and Linguistic Variation (Paderborn)Corpora, Blogs and Linguistic Variation (Paderborn)
Corpora, Blogs and Linguistic Variation (Paderborn)Cornelius Puschmann
 
Information Retrieval
Information Retrieval Information Retrieval
Information Retrieval ShujaatZaheer3
 
A Recorded Debating Dataset
A Recorded Debating DatasetA Recorded Debating Dataset
A Recorded Debating DatasetScott Faria
 
Akoma Ntoso 2
Akoma Ntoso 2Akoma Ntoso 2
Akoma Ntoso 2tbruce
 
Chinese New Year Celebration Essay Example
Chinese New Year Celebration Essay ExampleChinese New Year Celebration Essay Example
Chinese New Year Celebration Essay ExampleAmanda Jaramillo
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert Systemguest4513a7
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert SystemMediabistro
 
XML Retrieval - A Slot Filling Approach
XML Retrieval - A Slot Filling ApproachXML Retrieval - A Slot Filling Approach
XML Retrieval - A Slot Filling Approach鍾誠 陳鍾誠
 
@lis agent communication, ontologies, protocols, semantic web 2003
@lis   agent communication, ontologies, protocols, semantic web 2003@lis   agent communication, ontologies, protocols, semantic web 2003
@lis agent communication, ontologies, protocols, semantic web 2003Luigi Ceccaroni
 
Law + Complexity & Prediction: Toward a Characterization of Legal Systems as ...
Law + Complexity & Prediction: Toward a Characterization of Legal Systems as ...Law + Complexity & Prediction: Toward a Characterization of Legal Systems as ...
Law + Complexity & Prediction: Toward a Characterization of Legal Systems as ...Daniel Katz
 
Presentation - JIAMCATT 2013
Presentation - JIAMCATT 2013Presentation - JIAMCATT 2013
Presentation - JIAMCATT 2013Ashok Hariharan
 
Past, Present, and Future: Machine Translation & Natural Language Processing ...
Past, Present, and Future: Machine Translation & Natural Language Processing ...Past, Present, and Future: Machine Translation & Natural Language Processing ...
Past, Present, and Future: Machine Translation & Natural Language Processing ...John Tinsley
 
Past, Present, and Future: Machine Translation & Natural Language Processing ...
Past, Present, and Future: Machine Translation & Natural Language Processing ...Past, Present, and Future: Machine Translation & Natural Language Processing ...
Past, Present, and Future: Machine Translation & Natural Language Processing ...Iconic Translation Machines
 
PPT slides
PPT slidesPPT slides
PPT slidesbutest
 
Jarrar.lecture notes.aai.2011s.ontology part1_introduction
Jarrar.lecture notes.aai.2011s.ontology part1_introductionJarrar.lecture notes.aai.2011s.ontology part1_introduction
Jarrar.lecture notes.aai.2011s.ontology part1_introductionPalGov
 
Automated Discovery of Logical Fallacies in Legal Argumentation
Automated Discovery of Logical Fallacies in Legal ArgumentationAutomated Discovery of Logical Fallacies in Legal Argumentation
Automated Discovery of Logical Fallacies in Legal Argumentationgerogepatton
 
AUTOMATED DISCOVERY OF LOGICAL FALLACIES IN LEGAL ARGUMENTATION
AUTOMATED DISCOVERY OF LOGICAL FALLACIES IN LEGAL ARGUMENTATIONAUTOMATED DISCOVERY OF LOGICAL FALLACIES IN LEGAL ARGUMENTATION
AUTOMATED DISCOVERY OF LOGICAL FALLACIES IN LEGAL ARGUMENTATIONijaia
 

Similar a Presentation @ 24th International Conference on Legal Knowledge and Information Systems ( Jurix 2011 - Vienna ) (20)

Legal Language Explorer .com Tutorial
Legal Language Explorer .com  TutorialLegal Language Explorer .com  Tutorial
Legal Language Explorer .com Tutorial
 
Akoma Ntoso 1
Akoma Ntoso 1Akoma Ntoso 1
Akoma Ntoso 1
 
Corpora, Blogs and Linguistic Variation (Paderborn)
Corpora, Blogs and Linguistic Variation (Paderborn)Corpora, Blogs and Linguistic Variation (Paderborn)
Corpora, Blogs and Linguistic Variation (Paderborn)
 
Information Retrieval
Information Retrieval Information Retrieval
Information Retrieval
 
A Recorded Debating Dataset
A Recorded Debating DatasetA Recorded Debating Dataset
A Recorded Debating Dataset
 
EDI 2009 Case Law Update
EDI 2009 Case Law UpdateEDI 2009 Case Law Update
EDI 2009 Case Law Update
 
Akoma Ntoso 2
Akoma Ntoso 2Akoma Ntoso 2
Akoma Ntoso 2
 
Chinese New Year Celebration Essay Example
Chinese New Year Celebration Essay ExampleChinese New Year Celebration Essay Example
Chinese New Year Celebration Essay Example
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert System
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert System
 
XML Retrieval - A Slot Filling Approach
XML Retrieval - A Slot Filling ApproachXML Retrieval - A Slot Filling Approach
XML Retrieval - A Slot Filling Approach
 
@lis agent communication, ontologies, protocols, semantic web 2003
@lis   agent communication, ontologies, protocols, semantic web 2003@lis   agent communication, ontologies, protocols, semantic web 2003
@lis agent communication, ontologies, protocols, semantic web 2003
 
Law + Complexity & Prediction: Toward a Characterization of Legal Systems as ...
Law + Complexity & Prediction: Toward a Characterization of Legal Systems as ...Law + Complexity & Prediction: Toward a Characterization of Legal Systems as ...
Law + Complexity & Prediction: Toward a Characterization of Legal Systems as ...
 
Presentation - JIAMCATT 2013
Presentation - JIAMCATT 2013Presentation - JIAMCATT 2013
Presentation - JIAMCATT 2013
 
Past, Present, and Future: Machine Translation & Natural Language Processing ...
Past, Present, and Future: Machine Translation & Natural Language Processing ...Past, Present, and Future: Machine Translation & Natural Language Processing ...
Past, Present, and Future: Machine Translation & Natural Language Processing ...
 
Past, Present, and Future: Machine Translation & Natural Language Processing ...
Past, Present, and Future: Machine Translation & Natural Language Processing ...Past, Present, and Future: Machine Translation & Natural Language Processing ...
Past, Present, and Future: Machine Translation & Natural Language Processing ...
 
PPT slides
PPT slidesPPT slides
PPT slides
 
Jarrar.lecture notes.aai.2011s.ontology part1_introduction
Jarrar.lecture notes.aai.2011s.ontology part1_introductionJarrar.lecture notes.aai.2011s.ontology part1_introduction
Jarrar.lecture notes.aai.2011s.ontology part1_introduction
 
Automated Discovery of Logical Fallacies in Legal Argumentation
Automated Discovery of Logical Fallacies in Legal ArgumentationAutomated Discovery of Logical Fallacies in Legal Argumentation
Automated Discovery of Logical Fallacies in Legal Argumentation
 
AUTOMATED DISCOVERY OF LOGICAL FALLACIES IN LEGAL ARGUMENTATION
AUTOMATED DISCOVERY OF LOGICAL FALLACIES IN LEGAL ARGUMENTATIONAUTOMATED DISCOVERY OF LOGICAL FALLACIES IN LEGAL ARGUMENTATION
AUTOMATED DISCOVERY OF LOGICAL FALLACIES IN LEGAL ARGUMENTATION
 

Más de Daniel Katz

Machine Learning as a Service: #MLaaS, Open Source and the Future of (Legal) ...
Machine Learning as a Service: #MLaaS, Open Source and the Future of (Legal) ...Machine Learning as a Service: #MLaaS, Open Source and the Future of (Legal) ...
Machine Learning as a Service: #MLaaS, Open Source and the Future of (Legal) ...Daniel Katz
 
LexPredict - Empowering the Future of Legal Decision Making
LexPredict - Empowering the Future of Legal Decision MakingLexPredict - Empowering the Future of Legal Decision Making
LexPredict - Empowering the Future of Legal Decision MakingDaniel Katz
 
{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal ...
{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal ...{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal ...
{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal ...Daniel Katz
 
Legal Analytics Course - Class 11 - Network Analysis and Law - Professors Dan...
Legal Analytics Course - Class 11 - Network Analysis and Law - Professors Dan...Legal Analytics Course - Class 11 - Network Analysis and Law - Professors Dan...
Legal Analytics Course - Class 11 - Network Analysis and Law - Professors Dan...Daniel Katz
 
Legal Analytics Course - Class 12 - Data Preprocessing using dPlyR - Professo...
Legal Analytics Course - Class 12 - Data Preprocessing using dPlyR - Professo...Legal Analytics Course - Class 12 - Data Preprocessing using dPlyR - Professo...
Legal Analytics Course - Class 12 - Data Preprocessing using dPlyR - Professo...Daniel Katz
 
Legal Analytics Course - Class 10 - Information Visualization + DataViz in R ...
Legal Analytics Course - Class 10 - Information Visualization + DataViz in R ...Legal Analytics Course - Class 10 - Information Visualization + DataViz in R ...
Legal Analytics Course - Class 10 - Information Visualization + DataViz in R ...Daniel Katz
 
Legal Analytics Course - Class #4 - Github and RMarkdown Tutorial - Professor...
Legal Analytics Course - Class #4 - Github and RMarkdown Tutorial - Professor...Legal Analytics Course - Class #4 - Github and RMarkdown Tutorial - Professor...
Legal Analytics Course - Class #4 - Github and RMarkdown Tutorial - Professor...Daniel Katz
 
Legal Analytics Course - Class 9 - Clustering Algorithms (K-Means & Hierarch...
Legal Analytics Course - Class 9 -  Clustering Algorithms (K-Means & Hierarch...Legal Analytics Course - Class 9 -  Clustering Algorithms (K-Means & Hierarch...
Legal Analytics Course - Class 9 - Clustering Algorithms (K-Means & Hierarch...Daniel Katz
 
Legal Analytics Course - Class 8 - Introduction to Random Forests and Ensembl...
Legal Analytics Course - Class 8 - Introduction to Random Forests and Ensembl...Legal Analytics Course - Class 8 - Introduction to Random Forests and Ensembl...
Legal Analytics Course - Class 8 - Introduction to Random Forests and Ensembl...Daniel Katz
 
Legal Analytics Course - Class 7 - Binary Classification with Decision Tree L...
Legal Analytics Course - Class 7 - Binary Classification with Decision Tree L...Legal Analytics Course - Class 7 - Binary Classification with Decision Tree L...
Legal Analytics Course - Class 7 - Binary Classification with Decision Tree L...Daniel Katz
 
Legal Analytics Course - Class 6 - Overfitting, Underfitting, & Cross-Validat...
Legal Analytics Course - Class 6 - Overfitting, Underfitting, & Cross-Validat...Legal Analytics Course - Class 6 - Overfitting, Underfitting, & Cross-Validat...
Legal Analytics Course - Class 6 - Overfitting, Underfitting, & Cross-Validat...Daniel Katz
 
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...Daniel Katz
 
Legal Analytics Course - Class #2 - Introduction to Machine Learning for Lawy...
Legal Analytics Course - Class #2 - Introduction to Machine Learning for Lawy...Legal Analytics Course - Class #2 - Introduction to Machine Learning for Lawy...
Legal Analytics Course - Class #2 - Introduction to Machine Learning for Lawy...Daniel Katz
 
Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Danie...
Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Danie...Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Danie...
Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Danie...Daniel Katz
 
Quantitative Methods for Lawyers - Class #15 - Chi Square Distribution and Ch...
Quantitative Methods for Lawyers - Class #15 - Chi Square Distribution and Ch...Quantitative Methods for Lawyers - Class #15 - Chi Square Distribution and Ch...
Quantitative Methods for Lawyers - Class #15 - Chi Square Distribution and Ch...Daniel Katz
 
Quantitative Methods for Lawyers - Class #14 - Power Laws, Hypothesis Testing...
Quantitative Methods for Lawyers - Class #14 - Power Laws, Hypothesis Testing...Quantitative Methods for Lawyers - Class #14 - Power Laws, Hypothesis Testing...
Quantitative Methods for Lawyers - Class #14 - Power Laws, Hypothesis Testing...Daniel Katz
 
Legal Analytics, Machine Learning and Some Comments on the Status of Innovat...
 Legal Analytics, Machine Learning and Some Comments on the Status of Innovat... Legal Analytics, Machine Learning and Some Comments on the Status of Innovat...
Legal Analytics, Machine Learning and Some Comments on the Status of Innovat...Daniel Katz
 

Más de Daniel Katz (17)

Machine Learning as a Service: #MLaaS, Open Source and the Future of (Legal) ...
Machine Learning as a Service: #MLaaS, Open Source and the Future of (Legal) ...Machine Learning as a Service: #MLaaS, Open Source and the Future of (Legal) ...
Machine Learning as a Service: #MLaaS, Open Source and the Future of (Legal) ...
 
LexPredict - Empowering the Future of Legal Decision Making
LexPredict - Empowering the Future of Legal Decision MakingLexPredict - Empowering the Future of Legal Decision Making
LexPredict - Empowering the Future of Legal Decision Making
 
{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal ...
{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal ...{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal ...
{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal ...
 
Legal Analytics Course - Class 11 - Network Analysis and Law - Professors Dan...
Legal Analytics Course - Class 11 - Network Analysis and Law - Professors Dan...Legal Analytics Course - Class 11 - Network Analysis and Law - Professors Dan...
Legal Analytics Course - Class 11 - Network Analysis and Law - Professors Dan...
 
Legal Analytics Course - Class 12 - Data Preprocessing using dPlyR - Professo...
Legal Analytics Course - Class 12 - Data Preprocessing using dPlyR - Professo...Legal Analytics Course - Class 12 - Data Preprocessing using dPlyR - Professo...
Legal Analytics Course - Class 12 - Data Preprocessing using dPlyR - Professo...
 
Legal Analytics Course - Class 10 - Information Visualization + DataViz in R ...
Legal Analytics Course - Class 10 - Information Visualization + DataViz in R ...Legal Analytics Course - Class 10 - Information Visualization + DataViz in R ...
Legal Analytics Course - Class 10 - Information Visualization + DataViz in R ...
 
Legal Analytics Course - Class #4 - Github and RMarkdown Tutorial - Professor...
Legal Analytics Course - Class #4 - Github and RMarkdown Tutorial - Professor...Legal Analytics Course - Class #4 - Github and RMarkdown Tutorial - Professor...
Legal Analytics Course - Class #4 - Github and RMarkdown Tutorial - Professor...
 
Legal Analytics Course - Class 9 - Clustering Algorithms (K-Means & Hierarch...
Legal Analytics Course - Class 9 -  Clustering Algorithms (K-Means & Hierarch...Legal Analytics Course - Class 9 -  Clustering Algorithms (K-Means & Hierarch...
Legal Analytics Course - Class 9 - Clustering Algorithms (K-Means & Hierarch...
 
Legal Analytics Course - Class 8 - Introduction to Random Forests and Ensembl...
Legal Analytics Course - Class 8 - Introduction to Random Forests and Ensembl...Legal Analytics Course - Class 8 - Introduction to Random Forests and Ensembl...
Legal Analytics Course - Class 8 - Introduction to Random Forests and Ensembl...
 
Legal Analytics Course - Class 7 - Binary Classification with Decision Tree L...
Legal Analytics Course - Class 7 - Binary Classification with Decision Tree L...Legal Analytics Course - Class 7 - Binary Classification with Decision Tree L...
Legal Analytics Course - Class 7 - Binary Classification with Decision Tree L...
 
Legal Analytics Course - Class 6 - Overfitting, Underfitting, & Cross-Validat...
Legal Analytics Course - Class 6 - Overfitting, Underfitting, & Cross-Validat...Legal Analytics Course - Class 6 - Overfitting, Underfitting, & Cross-Validat...
Legal Analytics Course - Class 6 - Overfitting, Underfitting, & Cross-Validat...
 
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...
 
Legal Analytics Course - Class #2 - Introduction to Machine Learning for Lawy...
Legal Analytics Course - Class #2 - Introduction to Machine Learning for Lawy...Legal Analytics Course - Class #2 - Introduction to Machine Learning for Lawy...
Legal Analytics Course - Class #2 - Introduction to Machine Learning for Lawy...
 
Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Danie...
Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Danie...Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Danie...
Quantitative Methods for Lawyers - R Boot Camp Bonus Module - Professor Danie...
 
Quantitative Methods for Lawyers - Class #15 - Chi Square Distribution and Ch...
Quantitative Methods for Lawyers - Class #15 - Chi Square Distribution and Ch...Quantitative Methods for Lawyers - Class #15 - Chi Square Distribution and Ch...
Quantitative Methods for Lawyers - Class #15 - Chi Square Distribution and Ch...
 
Quantitative Methods for Lawyers - Class #14 - Power Laws, Hypothesis Testing...
Quantitative Methods for Lawyers - Class #14 - Power Laws, Hypothesis Testing...Quantitative Methods for Lawyers - Class #14 - Power Laws, Hypothesis Testing...
Quantitative Methods for Lawyers - Class #14 - Power Laws, Hypothesis Testing...
 
Legal Analytics, Machine Learning and Some Comments on the Status of Innovat...
 Legal Analytics, Machine Learning and Some Comments on the Status of Innovat... Legal Analytics, Machine Learning and Some Comments on the Status of Innovat...
Legal Analytics, Machine Learning and Some Comments on the Status of Innovat...
 

Último

Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...lizamodels9
 
Famous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st CenturyFamous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st Centuryrwgiffor
 
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...anilsa9823
 
7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...Paul Menig
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Dave Litwiller
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyEthan lee
 
RSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataRSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataExhibitors Data
 
HONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsHONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsMichael W. Hawkins
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsP&CO
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear RegressionRavindra Nath Shukla
 
Monthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxMonthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxAndy Lambert
 
Call Girls in Gomti Nagar - 7388211116 - With room Service
Call Girls in Gomti Nagar - 7388211116  - With room ServiceCall Girls in Gomti Nagar - 7388211116  - With room Service
Call Girls in Gomti Nagar - 7388211116 - With room Servicediscovermytutordmt
 
It will be International Nurses' Day on 12 May
It will be International Nurses' Day on 12 MayIt will be International Nurses' Day on 12 May
It will be International Nurses' Day on 12 MayNZSG
 
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdfDr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdfAdmir Softic
 
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesMysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesDipal Arora
 
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Delhi Call girls
 
John Halpern sued for sexual assault.pdf
John Halpern sued for sexual assault.pdfJohn Halpern sued for sexual assault.pdf
John Halpern sued for sexual assault.pdfAmzadHosen3
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdfRenandantas16
 
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptxB.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptxpriyanshujha201
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Dipal Arora
 

Último (20)

Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
 
Famous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st CenturyFamous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st Century
 
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
 
7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
 
RSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataRSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors Data
 
HONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsHONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael Hawkins
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and pains
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear Regression
 
Monthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxMonthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptx
 
Call Girls in Gomti Nagar - 7388211116 - With room Service
Call Girls in Gomti Nagar - 7388211116  - With room ServiceCall Girls in Gomti Nagar - 7388211116  - With room Service
Call Girls in Gomti Nagar - 7388211116 - With room Service
 
It will be International Nurses' Day on 12 May
It will be International Nurses' Day on 12 MayIt will be International Nurses' Day on 12 May
It will be International Nurses' Day on 12 May
 
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdfDr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
 
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesMysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
 
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
 
John Halpern sued for sexual assault.pdf
John Halpern sued for sexual assault.pdfJohn Halpern sued for sexual assault.pdf
John Halpern sued for sexual assault.pdf
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
 
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptxB.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
 

Presentation @ 24th International Conference on Legal Knowledge and Information Systems ( Jurix 2011 - Vienna )