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The insurance industry – from product development to underwriting to claims – is being fundamentally transformed by AI technologies. Although some companies are investing aggressively in AI to slash costs while also enhancing the customer experience, most insurers will need to accelerate their efforts or risk discovering that it has become too late to catch up.
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• How to protect Trade Secrets.
• What happens when a Trade Secret is breached?
• Trade secret licensing.
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Vol. 2 updated in July 2017.
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This session will look at challenges related to free speech online. We will address restrictions to freedom of expression from technological challenges (filters, surveillance techniques, blocking access to websites) to the introduction of new laws that curb digital freedom. We will also cover the increasing trend of takedown requests, the phenomenon of privatisation of censorship as well as threats, intimidation and violence against citizen journalists and bloggers. Through detailed case studies, participants will have the opportunity to explore the various implications of online censorship for media freedom. Case studies will include examples from countries such as Azerbaijan, Turkey, Belarus, India and Brazil.
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This presentation includes:
• A definition of Trade Secrets.
• Description of “Negative” Trade Secrets.
• How long do Trade Secrets last?
• Legal protection for Trade Secrets.
• How do you file a Trade Secret? (Spoiler: you don’t.)
• How to protect Trade Secrets.
• What happens when a Trade Secret is breached?
• Trade secret licensing.
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How do we see the healthcare's digital future and its impact on our lives?Jane Vita
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Digitalisation is changing the way we think about health, what taking care of it really entails, our personal role in healthcare systems and the way we interact with technology in the context of health.
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Sarah Tavel of Greylock Partners analyzes the unique financial pain points that young Americans are facing and explains why fintech is ripe for disruption.
In Healthcare, we provide detailed analysis and projections of healthcare fields, occupations, and their wages. In addition, we discuss the important skills and work values associated with healthcare fields and occupations. Finally, We analyze the implications of our findings for the racial, ethnic, and class diversity of the healthcare workforce in the coming decade.
Launching a startup isn't easy. At each stage of scaling - from founding to product-market fit, from product-market fit to hyper growth, and from hyper growth to maturity - entrepreneurs face unique challenges. Greylock Partners hosted an event, called Greyscale, focused on these challenges at each stage. In the opening keynote, Jerry Chen of Greylock Partners discusses the state of enterprise software after the first quarter of 2016. He summarizes the private and public markets, M&A activity, and explains how this climate affects the startup environment.
Lee Rainie, director of internet and technology research at Pew Research Center, discussed recent findings about the prevalence and impact of online harassment at the Cyber Health and Safety Virtual Summit: 41% of American adults have been harassed online and 66% have witnessed harassment. The findings come from the Center’s recent report on these issues.
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{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal Industry - Professor Daniel Martin Katz
1. law+tech+design+delivery
by daniel martin katz
edu | illinois tech - chicago kent college of law
blog | ComputationalLegalStudies.com
corp | LexPredict.com
observations regarding innovation in the legal industry
page | DanielMartinKatz.com
8. poison pill - “the most important innovation in corporate law
since Samuel Calvin Tate Dodd invented the trust
for John D. Rockefeller and Standard Oil in 1879”
(2) lawyers as innovators - substance
9. emerging areas - 3D Printing, Driverless Cars, Augmented Reality,
Data Breach, Crypto/Blockchain, Future of Work,
Big Data+Privacy, etc.
Drones, Internet of Things, CyberSecurity,
(2) lawyers as innovators - substance
95. R e p o r t e d s a l e
price between $35
million and $40
million.
Final Number was
likely between
$80 - $100 million
A n u m b e r o f
venture capitalists
have invested in
t h e c o m p a n y ,
including Silicon
Valley’s Sequoia
C a p i t a l w h i c h
invested $7 million
in 2007 ....
103. the path of legal(tech)
has in part followed
developments
in artificial intelligence
104. data driven AI rules based AI
Competing Orientations in
Artificial Intelligence
105. expert
systems
Computational Law
Data Driven Rules Based
prediction
models
and
methods
network
analytic
methods
natural
language
processing
self
executing
law
visual
law
computable
codes
106. we see a decent amount of
rules based AI
in legal industry
107. that is actually pretty consistent
with path of A.I. in general
108. lots of issues
with expert systems
and/or
rules based A.I.
(without data or an evolutionary dynamic)
109. rules based A.I. data driven A.I.
1980’s, 1990’s, Early 2000’s
>
110. rules based A.I. data driven A.I.
1980’s, 1990’s, Early 2000’s
rules based A.I. data driven A.I.
2005 - Present
<
>
111. rules based A.I. data driven A.I.
1980’s, 1990’s, Early 2000’s
rules based A.I. data driven A.I.
2005 - Present
<
>
as usual law lags other sectors of the economy
134. Quantitative Legal Prediction
- or -
How I Learned to Stop Worrying and Start
Preparing for the Data Driven Future of the
Legal Services Industry
Daniel Martin Katz
Assistant Professor of Law
Michigan State University
2013
150. “The software
identifies standard
and terms in
contracts, and its
benchmarking
tools show
lawyers how their
current document
compares to the
standard.”
155. General Counsels as Legal
Procurement Specialists
TyMetrix -
Using $50 billion+ in Legal
Spend Data to Help GC’s
Look for Arbitrage
Opportunities, Value
Propositions in Hiring Law
Firms
Legal Procurement
(High End of Market)
182. lots of investment decisions in law
are just a version of this basic idea
law = finance
183. except its is implicit underwriting
with no real underwriting standards
law != finance
(but it should)
184. we expand on this theme in this presentation
http://computationallegalstudies.com/2015/10/fin-legal-tech-laws-future-from-finances-past-katz-bommartio/
196. near real time monitoring of
version 2.0
a large volume of
corporate communications
employee behavior
etc.
197. Behavior Change will change
But Behavior Change will lag
(i.e. rogue action will be done offline)
(i.e. folks will craft incriminating communications
at least for a while)
Corp Security Starts to
mirror today’s NSA
198. thus, discovery (in part)
becomes compliance and some
(only some) litigation is avoided
legal standards will still shift
real time monitoring will generate
lots of false positives
203. play “whack-a-mole”, reacting to
problems by creating fear and
friction within organizations and
the impression that there is a legal
disaster around every corner.
Mediocre Lawyers
204. can help clients shape
(perhaps distort)
external perception of risk.
Merely Clever Lawyers
205. design systems that
balance risk and improve
transparency, helping clients
correctly price risk internally
Great Lawyers
213. “The living will is effectively a
roadmap and simulation
of the largest possible series of
transactions in a bank’s lifetime,
the type of analytical exercise that is
common in electronic systems design
or software testing,
but unprecedented in law.”
214. Ideal RRP is a
‘War Game’ whereby a
SIFI demonstrates it is
robust to failure of
various counterparties
215. but requires review and
understanding of the set
of agreements across all
business lines (p&l’s)
220. horizontal integration
of legal work product in the
broader corporate technology
ecosystem represents a source
of immediate value creation
221. “Watson [and related machine
learning technologies] will catalyze
b e t t e r o r g a n i z a t i o n o f l e g a l
information and legal data, forcing
organizations to better manage their
current data and delivering substantial
re t u r n s f ro m t h i s i n f o r m a t i o n
management step alone....”
222. for example -
contracts should be born
(or processed) as computational
to point straight into finance/acct
and other relevant IT systems
stored
legal
work
product
245. recently met with the general
counsel of a large publicly traded
company who has reduced the
legal expenditures of the company
by nearly 50% using the lean
methodology over past decade