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Artificial
Intelligence and
Watson in legal
AndersQuitzau
Watson Advocate
andersq@dk.ibm.com
2
3
4
Today we’re in the midst of an
information revolution.
Health data
will grow
99%
Insurance
data will grow
94%
Utilities data
will grow
99%
Manufacturing data
will grow
99%
88%
unstructured.
84%
unstructured.
84%
unstructured.
82%
unstructured.
80% of this data has been “invisible” to
computers, and therefore useless to us.
Until now.
ANALYTICS COGNITIVEINFORMATION KnowledgeDATASENSORS
5
Cognitive systems democratize expertise by scaling knowledge.
There are three capabilities that differentiate cognitive
systems from traditional programmed computing
systems.
Reasoning
They reason. They can understand information but
also the underlying ideas and concepts. This
reasoning ability can become more advanced over
time. It’s the difference between the reasoning
strategies we used as children to solve mathematical
problems, and then the strategies we developed
when we got into advanced math like geometry,
algebra and calculus.
Learning
They never stop learning. As a technology, this
means the system actually gets more valuable
with time. They develop “expertise”. Think about
what it means to be an expert- - it’s not about
executing a mathematical model. We don’t
consider our doctors to be experts in their fields
because they answer every question correctly. We
expect them to be able to reason and be
transparent about their reasoning, and expose the
rationale for why they came to a conclusion.
Understanding
Cognitive systems understand like humans
do, whether that’s through natural language
or the written word; vocal or visual.
6
7
Examples include:
Analyst reports
tweets
Wire tap transcripts
Battlefield docs
E-mails
Texts
Forensic reports
Newspapers
Blogs
Wiki
Court rulings
International crime database
Stolen vehicle data
Missing persons data
Data, information, and expertise create the
foundation.
Cognitive systems rely on collections of
data and information:
Humans excel at:
DILEMMAS
COMPASSION
DREAMING
ABSTRACTION
IMAGINATION
MORALS
GENERALIZATION
Cognitive Systems
excel at:
COMMON SENSE
NATURAL LANGUAGE
LOCATING KNOWLEDGE
PATTERN IDENTIFICATION
MACHINE LEARNING
ELIMINATE BIAS
ENDLESS CAPACITY
Cognitive systems are creating a new partnership between humansand technology.
8
9
Demo: Watson in Oncology
Retrieve and Rank
10
Message Resonance
Concept Expansion
Face Detection
Natural Language Classifier
Speech to Text
Text to Speech
Language Translation
Language Detection
Sentiment Analysis
Dialog
Retrieve and Rank
Image Link Extraction
Tradeoff Analytics
Entity Extraction
Tone Analyzer
Personality Insights
Taxonomy
Author Extraction
Concept Tagging
Relationship Extraction
Concept Insights
Relationship Extraction
Question & Answer
Feed Detection
Keyword Extraction
Visual Recognition
Image Tagging
Text Extraction
Watson’s APIs are the cognitive building
blocks that harness our data.
…and then leverage Watson APIs to apply
cognitive capabilities.
Natural Language Cl
assifier
Tone Analyzer
13
As the Watson technology evolves and deepens,
so too are the ways it’s being put to work in the world.
36
Countries
50,000
Students
in Melbourne
5.5M
Citizens
in Singapore
8
Languages
Learned by Watson
160
Universities
offering Watson courses
400+
Partners
Powered by Watson
1.1M
Patients
at Bumrungrad
29
Industries
80K
Developers
building with Watson
Use Case Examples
© 2015 International Business Machines Corporation
IBM is rapidly becoming a cognitive business, integrating
Watson’s intelligent capabilities in business processes, such
as:
• HR
• Finding experts with IBM Expertise
• Blue Matching – prompting the right employee with
right job opportunities in IBM
• Ella Watson – Personal Cognitive Digital Assistant
• Transformation & Operations
• Quality issue analyses
• Risk Management
• M&A – Contract analysises with BLUE HOUND
• Sales
• Client Experience Navigator
• Technical Support
• Virtual help desk and prescriptive maintenance 16
17
Thomson Reuters to deliver innovative
technology solutions powered by
Watson within specific industry
domains
Live Watson Tax Client:
Singapore Ministry of
Finance: “Ask Jasmine” Tax
Advisor System
18
USAA and Watson Help Military
Members Transition to Civilian
Life
© 2015 International Business Machines Corporation
Watson role in the legal industry
Analytics are Necessary to Optimize Operations
Data Driven:
Most industries have adopted the use of data to
drive optimized business process
Hidden Data:
The legal industry is unique in its scarcity of
quantitative data that can be used to drive data
optimized decisions
Cost:
Current methods of getting the data rely primarily
on manual extraction or the creation of large, brittle
rule sets
Opportunity:
Automate the extraction of quantitative data for use
in optimized data driven decision making 21
Train Watson to build structured data sets
We can train Watson to review all incoming documents and search for the key
data features we need to do discovery and prediction.
With structured data sets we can determine things like:
• Likely cost of matter
• Likely value of matter
• Likely outcome and key predictors
• Hidden correlations between data features
22
Watson Assistant
Accurate: Watson is
trained on the actual content
providing authoritative answers
Accessible: Watson is deployed
directly to the point of interaction
through the “right” technology at the
right time
Expert
The RulesEmployees
Efficient: Watson deflects many
questions, allowing people to
act on the “interesting” ones
Evolving: Watson keeps up
with changes to rules and
interpretations
Watson will transform compliance environment
Continuous proactive learning24x7 access
Answers to more unique questions
By getting accurate information in the hands of the people making
important decisions at the time they are making decisions, we reduce
the cost of both compliance and non-compliance
23
Watson Research Assistant
Accessible: Watson
understands and interacts
in natural language
Fast: Watson is designed to
work in real time on massive
amounts of data
Research RepositoryAttorney
Comprehensive: Watson includes
all sources simultaneously
Watson can perform comprehensive legal research – faster
Dialog w/ Assistant
Watson transforms legal research from an extended, manual and key word based process to a
real-time, free flowing, natural language based dialog that enables the attorney to interactively
explore and ultimately decide on a course of action
Case
Law
Internal
Memos
Law
Review
Industry
Journal
Blogs
Data
Rooms
24
25
Watson Research
Assistant
Research RepositoryAttorney
Dialog w/ Assistant
Case
Law
Internal
Memos
Law
Review
Industry
Journal
Blogs
Data
Rooms
Watson partner Ross
Intelligence develops an
artificially intelligent legal
associate
26
27
28
29
“If a business is not reinventing itself to
changing market conditions then it is
highly likely it will go into decline or be
taken over by those that are better
adapted to the new environment.This
statement is no less true for law firms
than for any business”
The Law Society of England and Wales – Future’s Panel
IBM Watson
AndersQuitzau
Watson Advocate
andersq@dk.ibm.com

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AI and IBM Watson in legal

  • 1. Artificial Intelligence and Watson in legal AndersQuitzau Watson Advocate andersq@dk.ibm.com
  • 2. 2
  • 3. 3
  • 4. 4 Today we’re in the midst of an information revolution. Health data will grow 99% Insurance data will grow 94% Utilities data will grow 99% Manufacturing data will grow 99% 88% unstructured. 84% unstructured. 84% unstructured. 82% unstructured. 80% of this data has been “invisible” to computers, and therefore useless to us. Until now.
  • 5. ANALYTICS COGNITIVEINFORMATION KnowledgeDATASENSORS 5 Cognitive systems democratize expertise by scaling knowledge.
  • 6. There are three capabilities that differentiate cognitive systems from traditional programmed computing systems. Reasoning They reason. They can understand information but also the underlying ideas and concepts. This reasoning ability can become more advanced over time. It’s the difference between the reasoning strategies we used as children to solve mathematical problems, and then the strategies we developed when we got into advanced math like geometry, algebra and calculus. Learning They never stop learning. As a technology, this means the system actually gets more valuable with time. They develop “expertise”. Think about what it means to be an expert- - it’s not about executing a mathematical model. We don’t consider our doctors to be experts in their fields because they answer every question correctly. We expect them to be able to reason and be transparent about their reasoning, and expose the rationale for why they came to a conclusion. Understanding Cognitive systems understand like humans do, whether that’s through natural language or the written word; vocal or visual. 6
  • 7. 7 Examples include: Analyst reports tweets Wire tap transcripts Battlefield docs E-mails Texts Forensic reports Newspapers Blogs Wiki Court rulings International crime database Stolen vehicle data Missing persons data Data, information, and expertise create the foundation. Cognitive systems rely on collections of data and information:
  • 8. Humans excel at: DILEMMAS COMPASSION DREAMING ABSTRACTION IMAGINATION MORALS GENERALIZATION Cognitive Systems excel at: COMMON SENSE NATURAL LANGUAGE LOCATING KNOWLEDGE PATTERN IDENTIFICATION MACHINE LEARNING ELIMINATE BIAS ENDLESS CAPACITY Cognitive systems are creating a new partnership between humansand technology. 8
  • 9. 9 Demo: Watson in Oncology
  • 10. Retrieve and Rank 10 Message Resonance Concept Expansion Face Detection Natural Language Classifier Speech to Text Text to Speech Language Translation Language Detection Sentiment Analysis Dialog Retrieve and Rank Image Link Extraction Tradeoff Analytics Entity Extraction Tone Analyzer Personality Insights Taxonomy Author Extraction Concept Tagging Relationship Extraction Concept Insights Relationship Extraction Question & Answer Feed Detection Keyword Extraction Visual Recognition Image Tagging Text Extraction Watson’s APIs are the cognitive building blocks that harness our data. …and then leverage Watson APIs to apply cognitive capabilities. Natural Language Cl assifier Tone Analyzer
  • 11.
  • 12. 13 As the Watson technology evolves and deepens, so too are the ways it’s being put to work in the world. 36 Countries 50,000 Students in Melbourne 5.5M Citizens in Singapore 8 Languages Learned by Watson 160 Universities offering Watson courses 400+ Partners Powered by Watson 1.1M Patients at Bumrungrad 29 Industries 80K Developers building with Watson
  • 14. © 2015 International Business Machines Corporation IBM is rapidly becoming a cognitive business, integrating Watson’s intelligent capabilities in business processes, such as: • HR • Finding experts with IBM Expertise • Blue Matching – prompting the right employee with right job opportunities in IBM • Ella Watson – Personal Cognitive Digital Assistant • Transformation & Operations • Quality issue analyses • Risk Management • M&A – Contract analysises with BLUE HOUND • Sales • Client Experience Navigator • Technical Support • Virtual help desk and prescriptive maintenance 16
  • 15. 17 Thomson Reuters to deliver innovative technology solutions powered by Watson within specific industry domains
  • 16. Live Watson Tax Client: Singapore Ministry of Finance: “Ask Jasmine” Tax Advisor System 18
  • 17. USAA and Watson Help Military Members Transition to Civilian Life © 2015 International Business Machines Corporation
  • 18. Watson role in the legal industry
  • 19. Analytics are Necessary to Optimize Operations Data Driven: Most industries have adopted the use of data to drive optimized business process Hidden Data: The legal industry is unique in its scarcity of quantitative data that can be used to drive data optimized decisions Cost: Current methods of getting the data rely primarily on manual extraction or the creation of large, brittle rule sets Opportunity: Automate the extraction of quantitative data for use in optimized data driven decision making 21
  • 20. Train Watson to build structured data sets We can train Watson to review all incoming documents and search for the key data features we need to do discovery and prediction. With structured data sets we can determine things like: • Likely cost of matter • Likely value of matter • Likely outcome and key predictors • Hidden correlations between data features 22
  • 21. Watson Assistant Accurate: Watson is trained on the actual content providing authoritative answers Accessible: Watson is deployed directly to the point of interaction through the “right” technology at the right time Expert The RulesEmployees Efficient: Watson deflects many questions, allowing people to act on the “interesting” ones Evolving: Watson keeps up with changes to rules and interpretations Watson will transform compliance environment Continuous proactive learning24x7 access Answers to more unique questions By getting accurate information in the hands of the people making important decisions at the time they are making decisions, we reduce the cost of both compliance and non-compliance 23
  • 22. Watson Research Assistant Accessible: Watson understands and interacts in natural language Fast: Watson is designed to work in real time on massive amounts of data Research RepositoryAttorney Comprehensive: Watson includes all sources simultaneously Watson can perform comprehensive legal research – faster Dialog w/ Assistant Watson transforms legal research from an extended, manual and key word based process to a real-time, free flowing, natural language based dialog that enables the attorney to interactively explore and ultimately decide on a course of action Case Law Internal Memos Law Review Industry Journal Blogs Data Rooms 24
  • 23. 25 Watson Research Assistant Research RepositoryAttorney Dialog w/ Assistant Case Law Internal Memos Law Review Industry Journal Blogs Data Rooms Watson partner Ross Intelligence develops an artificially intelligent legal associate
  • 24. 26
  • 25. 27
  • 26. 28
  • 27. 29 “If a business is not reinventing itself to changing market conditions then it is highly likely it will go into decline or be taken over by those that are better adapted to the new environment.This statement is no less true for law firms than for any business” The Law Society of England and Wales – Future’s Panel