This document discusses artificial intelligence and its applications in law. It begins by providing examples of common technologies like fax machines and examines what AI can do today such as translate languages and detect cancer in tissue slides. It then explores how AI is used in areas like marketing, client services, pricing, and content generation. The document advocates that law firms inventory their own data and select initial AI projects tied to strategic objectives in order to start leveraging the technology.
6. Translate
Between
Languages
Be Your
Personal
Trainer
What Does AI
Do Well Today?*
Recognize
Emotions in
Images of Faces
🌎
😡
Spot Cancer in
Tissue Slides
Better Than Human
Epidemiologists
Detect
Crop
Disease
*Ed Newton-Rex, Feb. 18, 2017, Medium
6
Predict Social
Unrest Five Days
Before It Happens
Beat Humans
at Jeopardy
🚓
Predict
Parking
Difficulty by
Area
📺
🅿
🚑
9. AI: The Latest
Fad in Law …yet computer science is making
progress with natural language
communication, and its long-range
relevance to legal problem-solving is clear.
– Stanford Law Review Article
Some Speculation about Artificial Intelligence and Legal
1970
9
10. What Is
AI?
It is the science and engineering of
making intelligent machines, especially
intelligent computer programs.
– John McCarthy
10
AI means a computer
system “able to
perform tasks that
normally require human
intelligence, such as
visual perception,
speech recognition,
decision-making.
–Andrew McAfee, director of MIT’s
Initiative on the Digital Economy
AI means a computer
system “able to
perform tasks that
normally require human
intelligence, such as
visual perception,
speech recognition,
decision-making.
–Andrew McAfee, director of MIT’s
Initiative on the Digital Economy
11. What is AI?
• Augmented Intelligence
• Cognitive Computing
• Big Data Analytics
• Robotics
• Neural Networks
• Expert Systems
• Deep Learning
• Machine Learning
• Internet of Things (IoT)
• Deep Mind, Deep Blue,
Watson
11
Generally, AI is computers performing analytic tasks previously
believed to be the sole province of the human brain.
12. What Is AI?
12
Technologies
Logical AI / Interfacing
Machine Learning
Natural Language Processing (NLP)
Planning
Robotics
Speech
Vision
Functions
Expertise Automation
Image Recognition
& Classification
Planning
Question Answering Google Now
IBM Watson Conversation
Microsoft Cortana
Robotics
Speech
Speech to Text
Text to Speech
Extraction
Text Analysis
Classification
Text Generation
Amazon Alexa
Translation
Apple Siri
18. AI and the Business of Law
18
• HR (hiring)
• IT (cybersecurity)
• Finance
(strategic planning)
Same Fundamentals
as Other Industries
• Pricing
• Content marketing
• Predictive pitching
• CRM on steroids
Marketing
19. To improve the prospect and
client experience!
Why Use AI in Marketing?
19
20. The Promise of AI and Marketing
Make marketing and business development more
efficient and more personal.
Help you
target the right
prospects
Understand
how buyers
purchase
Create more
meaningful
and personal
interactions
Understand
how buyers
think
20
21. Where Can AI Help Marketing
Change the Conversation?
• Client shrinkage and attrition
• High-opportunity relationships
• Lateral hiring success
• Leverage high-revenue generating partners
• Identify client acceptance standards (“ideal client”)
• Allocate marketing resources
21
22. Law Firm Data Is Often Siloed
• Pitch Statistics
• Social Media
Engagement
• Website Traffic
22
• Billing Data
• Matter Results Data
• Personnel Data
• Litigation Filing Data
• Client Feedback Data
• Economic Trend Data
23. Combining Your Intelligence
YOUR OWN
EXISTING DATA
• CRM
• Web Traffic
• Billing Data
• Social Engagement
• Digital Campaigns
• Emails
PARTNER
DATA
• Often Cleaner
• May Be More
Proprietary
PURCHASED
DATA
• Large Scale
• Anybody Can Buy
ORIGINAL
DATA
• Client Feedback
• Market Research
• Competitive
Intelligence
1st
Party
2nd
Party
3rd
Party
2nd & 3rd
Party
23
24. AI and the Buyer Journey
TIME
BUYERINTERACTIONSAND
VALUE
REACH ACT CONVERT ENGAGE
Demand Generation
and Purchase Intent Indecisive Buyer
1st
Purchase
Lapsed
Client
Loyal
Client
Repeat
Client
Machine Learning
Propensity Modeling
AI Application
Smart
content
curation
Programmatic
media
bidding
AI
generated
content
Voice
search
Propensity
modeling
Ad
targeting
Predictive
analytics
Lead
scoring
Dynamic
pricing
Targeting
Web & app
personalization
Chat
bots
Predictive
client
service
Marketing
automation
1:1
Dynamic-
content
emails
Source: Robert Allen, April 2017 published via smartinsights.com
modified by Right Hat LLC
24
33. Next Steps:
Your To-Do List
Inventory your firm’s data sources, internal and external.
Study what the industry leaders are doing.
Select an initial AI project, one that is tied to firm strategic
objectives.
33
✔️
✔️
✔️
✔️
Establish policies and procedures to clean, maintain
and develop data.