Artificial Intelligence applications are transforming the practices of law. Opportunities abound for all participants in legal practices. Those that learn and understand will be on the leading edge of this transformation

1. AI AND THE
PRACTICE OF LAW
Larry Bridgesmith, J.D., Jay Deragon & Adel ElMessiry, Ph.D.

2. Your Presenters
Jay Deragon
AI Strategist
Data Analyst
Serial Entrepreneur
Larry Bridgesmith, JD
Lawyer
Legal Technologist
Professor of Law
Adel ElMessiry, Ph.D.
Computer Engineer
Data Scientist
Serial Entrepreneur

3. CURRENT
STATE OF
ARTIFICIAL
INTELLIGENCE

4. AI Enhances Legal
Practice
◦ Due Diligence - Litigators perform due diligence with the
help of AI tools to uncover background information, contract
review, legal research and electronic discovery.
◦ Prediction technology: software generates results that
forecast litigation outcomes.
◦ Legal analytics – Lawyers use data points from past case law,
win/loss rates and a judge’s history to be used to analyze trends
and patterns.
◦ Document automation – Lawyers use software templates to
create filled out documents based on data input.
◦ Intellectual property – AI tools guide lawyers in analyzing
large IP portfolios and draw insights from the content.
◦ Electronic billing – Lawyers’ billable hours are computed and
billed automatically

5. AI Analytics In
Law Fuels
Disruption◦ 34 AI applications replace much of the manual
work traditional to Legal Practices
◦ AI applications are enhanced by analytics
through Machine Learning
◦ AI drives the cost of legal services down while
increasing their value with analytics.
◦ AI analytics reveal new value creation
opportunities for legal teams.
◦ AI ushers in new business models revealed by
AI Analytics
◦ Hourly billing is being replaced by value-based
billing for the value as determined by the client.

6. The Digitization of
Legal Practices
“AI and other technologies are enabling machines to take
on many of the tasks that many used to think required
human lawyers and that’s not plateauing. It seems to be
happening at quite a rate.”
Richard Susskind

7. ABA Resolution
112
August 12, 2019

8. AI Top Misleading Myths
1. AI is going to replace all jobs
2. Only low-skilled and manual workers will be replaced by
AI and automation
3. Super-intelligent computers will become better than
humans at doing anything we can do
4. Artificial intelligence will quickly overtake and outpace
human intelligence
5. AI will lead to the destruction of enslavement of the
human race by superior robotic beings

9. Completes
and solves
one
problem
ANI
As
intelligent
as a
human
brain
AGI
More
intelligent
than all
humans
combined
ASI
LEVELS OF ARTIFICIAL INTELLIGENCE
NARROW GENERAL SUPER
Today

10. FOUR INDUSTRIAL REVOLUTIONS

11. DATALAKES
OR
POWERGENERATORS

12. What are the legal data lakes
to benefit from AI generators?
JUDICIAL
DECISIONS
SETTLEMENT
HISTORY
COSTS AND TIME
TO RESOLUTION
CULTURAL
NORMS
MARKET
ANALYSIS
GLOBAL TRENDS
LANGUAGE
TRANSLATION
ECONOMIC
ANALYSIS
PARENTING
TRENDS
SOCIAL MEDIA PUBLIC RECORDS MORE?

13. It Is Not The Dress,
It Is The Model!
When thinking about Machine
Learning:
• Data is the starting point.
• Features are aspects of the data that
make sense.
• The model is the goal.

14. What Does the Answer Look Like?
Binary Classification Model
Multiclass Classification Model
Regression Model

15. Training The
Model
◦ Clean the Data:
The data needs to have low noise ratio.
Understand the features.
◦ Split the Data:
◦ Training
◦ Testing
◦ Validating
◦ Pick the Algorithm:
Many algorithms exist.
Which one is better for your domain?

16. Visualizing an AI
model’s blind
spots
A new tool reveals what
AI models leave out in
recreating a scene. Here,
a GAN, (generative
adversarial network) has
dropped the pair of
newlyweds from its
reconstruction (right) of
the photo it was asked to
draw (left).

17. Consult Educate
Implement
◦ Consulting: Advise leaders on the most efficient
and beneficial methods for adopting AI and
incorporating it into your culture.
◦ Educating: Provide both on-line and in person
education courses on a variety of subjects
designed to make your organization and your
people self sufficient users of AI.
◦ Implementing: Provide technology
development talent to build out your AI
applications.
https://accelerateinsite.com