Yale Law School Group Invites Law Professor Troll To Do Some Trolling – Above the Law

Yale
Law
School
has
spent
the
last
few
years

patting
itself
on
the
back
for
inviting
hate
group
representatives
to
campus

and
folding
with
alacrity
whenever

grandstanding
politicians
play
the
school
for
chumps
.
It’s
not
so
much
that
the
school
offers
a
ready
platform
for
bigotry

that’s
within
its
rights

but
that
the
institution
so
enthusiastically
squelches
the
rights
of
protesters
exercising
their
speech
rights
within

existing
time,
place,
and
manner
restrictions
.

Free
speech,
as
a
concept,
exists
to
protect
the
speakers
who
don’t
have
a
university-supplied
stage.
Recasting
it
as
a
top-down
right
for
the
privileged
guest
to
speak
AT
an
audience
of
silent
receptacles

perverts
the
freedom

into
an
authoritarian
obligation
to
silence
marginalized
viewpoints.
Orwellian
is
an
overused
term,
but
“shut
up
and
listen
to
your
betters
exercise
their

freedom

to
speak
or
ELSE
there
will
be
discipline”
fits
that
bill.

Anyway,
the
next
opportunity
for
the
law
school’s
feckless
leadership
to
curry
favor
with
the
MAGA
movement
seems
right
around
the
corner…

Of
course.

The
University
of
Pennsylvania

mildly
sanctioned
law
professor
Amy
Wax

after
years
of
looking
the
other
way
as
she
wrote
opinion
columns
about
how

white
culture
is
superior
,
publicly
claimed

Penn
Law’s
Black
students
weren’t
passing
in
the
top
half
of
the
law
school
class
,
said
the
country
would
be

better
off
with
fewer
Asians
,
and

inviting
white
supremacists
to
speak
to
her
class
.
All
of
which

she
basically
admitted
during
the
inquiry
,
though
she
fought
it
anyway
suggesting
that
“academic
freedom”
protected
her
doing
all
of
this
without
ever
exposing
it
to
a
hint
of
scholarly
rigor.


She
cites
Wikipedia

if
you
want
to
understand
how
much
“academic”
goes
into
her
brand
of
“academic
freedom.”

Is
there
much
of
anything
she
can
say
that
enriches
the
discourse?
No.
But
that’s
not
important.

Yale
Law
Republicans
are
bringing
her
to
chat
because,
for
right-wing
students
looking
to
get
ahead,

trolling
is
the
coin
of
the
realm
.
The
“serious”
professionals
who
will
ultimately
set
these
students
on
a
path
to
success
aren’t
interested
in
a
sheepish
bookworm
with
conservative
leanings,
they
want
candidates
willing
to
throw
bombs
in
school.
All
that
can
be
swept
under
the
rug
at
a
future
confirmation
hearing
as
the
excesses
of
youth.
But
what
the
conservative
legal
movement
cannot
countenance
is
another
David
Souter
who
quietly
excelled
in
school
while
expressing
a
vague
preference
for
lower
taxes.
THAT
MAN
WAS
UNRELIABLE!
Someone
willing
to

wear
anti-Trans
shirts
on
Trans
Day
of
Visibility
?
That’s
a
true
believer
right
there.

Plus,
the
older,
more
serious
conservatives
privately
find
all
the
baseless
cruelty
super
funny.

And
it
sets
up
another
situation
where
students
can
exert
their
dominance
over
the
administration.
Like
Donald
Trump
putting
up
Yale
Law
grad
J.D.
Vance
despite
Vance’s
never-Trump
past,
the
joy
is
in
the
submission.
The
fun
is
in
students
getting
the
law
school
to
bully
other
students
who
might
show
up
to
ask
pointed
questions
or
picket
the
building.
Which
the
school
has
shown
itself
happy
to
do
out
of
fear
that
they
might
not
appropriately
silence
their
students
to
the
liking
of
a
Fifth
Circuit
feeder
judge
out
there.

When
Yale
Law
infamously
had
an
event
with
recognized
hate
group
Alliance
Defending
Freedom,
the
rules
allowed
two
warnings
for
in-room
disruptions
before
penalty

to
ensure
the
protest
was
meaningful
and
heard

and
the
protesters
took
their
warnings
before
leaving
the
room
to
picket.
That’s
actually
a
pretty
good
policy!
And
it’s
a
policy
that
conservative
judges
and
the
right-wing
media
turned
into
a
public
grievance
as
“broken”
for
its
lack
of
enforced
servility.

People
routinely
(and
cynically)
screw
up
the
concept
of
the
Heckler’s
Veto.
It
doesn’t
mean
“speakers
should
be
protected
from
heckling”
but
rather
“authorities
can’t
use
a
hypothetical
protest
as
an
excuse
to

silence
a
speaker
.”
To
that
end,
conservative
groups
have
trapped
schools
in
a
sort
of
reverse
Heckler’s
Veto,
platforming
controversial
speakers
for
the
express
purpose
of
making
the
school

silence
a
protest
.

Which
will
keep
happening
until
schools
embrace
well-vetted
standards
allowing
controversial
speakers
while
simultaneously
respecting
the
right
to
protest
free
of
administration
threats
and
intimidation.
Ideally
by
affirmatively
protecting
the
right
to
protest
with
restrictions
that
allow
it
to
be
heard
without
being
disruptive.

But
that
might
be
a
bridge
to
far
for
their
clerkship
numbers.




HeadshotJoe
Patrice
 is
a
senior
editor
at
Above
the
Law
and
co-host
of

Thinking
Like
A
Lawyer
.
Feel
free
to email
any
tips,
questions,
or
comments.
Follow
him
on Twitter or

Bluesky

if
you’re
interested
in
law,
politics,
and
a
healthy
dose
of
college
sports
news.
Joe
also
serves
as
a

Managing
Director
at
RPN
Executive
Search
.

You Can’t Study In Here, This Is The Library! – Above the Law

Of
all
the
iconic
lines
from
Dr.
Strangelove,
maybe
the
best
is
“You
can’t
fight
in
here.
This
is
the
War
Room!”
Recently,
Harvard
began
punishing
students
(and
faculty)
for

silent
library
protests
while
studying

almost
as
though
maintaining
a
“non-disruptive
atmosphere”
isn’t
the
school’s
real
concern.
Donald
Trump
brags
about
Tiffany
Trump’s
class
ranking…
even
though
her

law
school
doesn’t
rank
students
.
And

states
are
preparing

for
the
Supreme
Court
to
launch
a
large-scale
rollback
on
rights.

How Global Law Firms Are Bridging Cultures With AI – Above the Law

In
the
legal
profession,
where


cases
can
turn
on
the
interpretation
of
a
comma
,
global
organizations
need
the
highest-quality
tools
to
communicate
across
languages,
cultures,
and
markets.



Enter
DeepL
,
a
leading
global
Language
AI
company
offering
translation
and
writing
tools
used
by
over
100,000
businesses
and
governments
around
the
world
across
multiple
industries,
including
the
legal
field.

DeepL’s
AI
tools
have
become
a
critical
investment
for
companies
today,
addressing
a
variety
of
communication
challenges
ranging
from
internal
communications
between
teams
to
contract
drafting
and
legal
correspondence
support.

Here,
we
talk
with
Frankie
Williams,
DeepL’s
Chief
Legal
Officer,
who
sheds
light
on
how
law
firms
are
already
using
this
technology

and
how
AI
is
making
broader
inroads
in
the
industry.

Frankie Williams

Frankie
Williams


ATL:
You’ve
been
in
the
innovation
and
startup
world
for
several
years
now,
leading
multiple
companies
through
successful
IPOs,
but
you’ve
joined
DeepL
more
recently.
What
attracted
you
to
this
company
and
role? 

FW:
I
spent
just
over
a
decade
advising
clients
on
international
M&A
transactions,
and
in
2013
I
joined
King,
the
mobile
game
developer
that
makes
Candy
Crush

a
huge
culture
shock
after
so
many
years
in
law
firms!
We
listed
on
the
NYSE
in
2014
and
were
acquired
by
Activision
Blizzard
in
2016.
I
went
on
to
spend
over
five
years
at
luxury
ecommerce
platform
Farfetch,
including
working
on
the
group’s
restructuring
and
listing
on
the
NYSE
at
$5.8
in
September
2018.
During
those
years,
I
thrived
in
the
scaling
phase
of
building
teams
and
structures
to
mature,
which
is
what
attracted
me
to
DeepL.
I
was
also
drawn
to
DeepL
by
its
mission
to
break
down
language
barriers
for
businesses,
which
is
particularly
tangible
for
me
because
we
have
many
clients
who
are
legal
teams
and
law
firms.


Much
of
the
conventional
wisdom
in
legal
tech
is
that
2024
has
marked
a
transition
from
an
AI
hype
cycle
to
the
emergence
of
concrete
use
cases.
What
do
you
make
of
this
idea? 

This
is
a
trend
that
is
becoming
increasingly
evident
in
the
broader
context
of
AI
adoption
among
businesses
globally,
as
well
as
in
the
legal
industry
specifically.
There
has
been
a
growing
public
interest
in
AI,
particularly
in
the
last
year,
and
I
think
many
legal
leaders
are
now
realizing
that
the
real
value
of
AI
is
in
its
practical,
specific
applications
that
are
proven
to
address
real
challenges
and
improve
efficiency,
access,
and
decision-making.

Recent research from
LexisNexis
found
that
75%
of
the
legal
leaders
surveyed
have
used
generative
AI
tools,
either
personally
or
professionally,
with
many
believing
generative
AI
technology
will
decrease
costs
and
increase
revenue.
Lawyers
(me
included!)
are
certainly
becoming
more
comfortable
with
the
technology;
I
think
the
question
now
isn’t
whether
we
should
be
using
it,
but
rather,
which
AI
tools
will
dominate
in
the
legal
market.


Can
you
explain
the
benefits
of
AI
translation
and
writing
tools
for
lawyers
and
legal
firms?
What
challenges
do
these
tools
help
address
in
the
legal
field
today?

In
today’s
interconnected
world,
accurate
communication
is
more
important
than
ever.
DeepL
is
purpose-built
to
help
businesses
address
language
and
communication
challenges
with
our
suite
of
specialized
AI
translation
and
writing
services.

DeepL
addresses
several
common
challenges
faced
by
the
legal
sector,
including
understanding
information
in
non-native
languages,
translating
documents
accurately,
and
maintaining
high
writing
quality.
Our
legal
customers
use
DeepL
to
translate
and
process
contracts,
simplify
communication
with
clients
and
suppliers,
improve
internal
communication,
and
support
research
reports
and
publications.
By
enabling
more
accurate
and
precise
communication
with
clients
in
different
languages,
law
firms
can
improve
client
service
and
responsiveness.

For
in-house
legal
teams,
DeepL
is
also
used
for
the
creation
of
communications,
including
translated
compliance
documents,
policies
and
other
essential
materials,
aiding
understanding
and
compliance.
By
automating
routine
linguistic
tasks,
in-house
teams,
like
my
own,
can
increase
productivity
and
free
up
time
to
focus
on
strategic
initiatives
that
drive
greater
business
value.

According
to
our
customer
research,
the
vast
majority
of
legal
department
users
say
that
DeepL
speeds
up
their
work
and
improves
writing
quality.
A 2024
Forrester
Consulting
study
 found
that
one
legal
firm
using
DeepL
was
able
to
cut
the
time
spent
translating
a
two-
to
three-page
document
from
2-3
hours
to
under
15
minutes,
thanks
to
our
automation
and
document
upload
features.


Contract
drafting
and
other
legal
tasks
require
an
extreme
precision
of
language,
likely
beyond
that
required
by
just
about
any
other
profession.
How
does
AI
address
this
need
for
precision
in
translating
legal
documents
and
messages?

In
today’s
highly
litigious
world,
where
every
word
carries
significant
weight,
it
is
more
critical
than
ever
to
ensure
precision
in
translation
and
writing.
In
our
translation
quality
blind
tests
with
external
professional
translators
in
2024,
DeepL’s
translation
tools
were
preferred
over
competitors
at
a
rate
of
1.3x
more
than
Google
Translate,
1.7x
more
than
ChatGPT-4,
and
2.3x
more
than
Microsoft.
In
the
same
testing
DeepL
translations
required
2x
fewer
edits
than
Google
Translate
and
3x
fewer
edits
than
ChatGPT-4.

We
meet
the
need
for
precision
through
several
unique
capabilities:

  • Advanced,
    highly
    specialized
    large
    language
    model:
    The
    DeepL
    platform
    is
    built
    on
    next-generation
    LLM
    technology
    that
    is
    uniquely
    tuned
    for
    language,
    resulting
    in
    more
    human-like
    translations
    and
    writing
    for
    a
    variety
    of
    use
    cases
    with
    a
    reduced
    risk
    of
    hallucinations
    and
    misinformation.

  • Proprietary
    data
    for
    specific,
    contextual
    understanding:
    Unlike
    general
    purpose
    models
    that
    simply
    train
    on
    the
    public
    internet,
    the
    DeepL
    model
    leverages
    over
    seven
    years
    of
    proprietary
    data
    specifically
    tuned
    for
    content
    creation
    and
    translation.

  • Human
    model
    tutoring:
    With
    a
    focus
    on
    quality,
    the
    DeepL
    model
    leverages
    thousands
    of
    hand-picked
    language
    experts
    specifically
    trained
    to
    “tutor”
    the
    model
    to
    best-in-class
    translation.

Our
products
offer
extensive
customization
options.
Through
features
like
DeepL
glossaries,
legal
teams
can
tailor
translations
by
specifying
the
preferred
translations
of
words
and
phrases
for
specific
contexts.
We
recently
enhanced
our
glossary
functionality
to
include
the
industry’s
first
automatic
glossary
generator,
which
streamlines
the
translation
process
for
documents
containing
critical
brand
terms.
Our
translations
can
be
adjusted
to
align
with
the
desired
tone
of
voice,
depending
on
the
target
audience.


And
I
understand
DeepL
offers
more
than
just
AI-powered
translation
tools,
like
DeepL
Write.
Can
you
talk
about
these
other
DeepL
solutions,
and
how
lawyers
and
legal
firms
could
integrate
them
into
their
workflows? 

In
2017,
we
launched
our
flagship
product,
DeepL
Translate,
which
has
become
our
signature
product.
However,
we
continue
to
invest
heavily
in
research
and
innovation
to
build
out
our
capabilities.
In
April
this
year,
we
launched DeepL
Write
Pro
,
an
AI
writing
assistant
that
provides
writers
with
real-time
suggestions
on
phrasing,
style,
and
tone
while
understanding
the
context
of
business
communication.
DeepL
Write
Pro
acts
as
a
creative
assistant
to
writers
in
the
drafting
process,
elevating
their
text
with
real-time
AI-powered
suggestions
on
word
choice,
phrasing,
style
(simple,
business,
academic,
or
casual),
and
tone
(such
as
enthusiastic,
friendly,
confident,
or
diplomatic),
helping
to
ensure
the
professional
quality
of
writing,
enhancing
clarity
and
consistency.

A
lawyer’s
work
is
often
text-intensive.
I
find
DeepL
Write
Pro
an
invaluable
tool
that
enables
me
to
produce
precise,
high-quality,
and
consistent
writing
while
reducing
errors
and
improving
drafts.
I
particularly
like
the
new
“Shorten”
feature
which
helps
counter
my
lawyer
tendency
to
be
overly
verbose
to
ensure
my
communications
to
my
internal
clients
is
succinct
and
to
the
point.


Of
course,
security
concerns
are
at
the
core
of
using
AI
in
the
legal
industry.
Can
you
walk
us
through
some
of
DeepL’s
privacy
and
security
safeguards?
What
makes
Deepl
unique? 

The
protection
of
our
customers’
data
is
at
the
heart
of
DeepL’s
mission
and
product
offering.
Our
customer
base
is
diverse,
including
businesses
in
highly
regulated
sectors
such
as
financial
services
and
the
legal
industry,
and
ensuring
the
confidentiality
and
security
of
their
data
is
incredibly
important
to
us.
We
adhere
to
the
highest
enterprise-grade
privacy
and
security
standards
to
protect
user
data

these
include
state-of-the-art
data
encryption
and
the
General
Data
Protection
Regulation
(GDPR),
ISO
27001,
and
SOC
2
Type
2
standards.
We
do
not
use
any
text
from
our
subscribers
to
enhance
our
AI
models,
understanding
that
many
of
our
users
translate
sensitive
information.


Everyone
with
a
smartphone
can
download
Google
Translate
for
free
these
days,
getting
basic
language
translation
services.
What
does
a
more
sophisticated
service
like
DeepL
do
that
Google
Translate
cannot,
particularly
for
lawyers?
What
technology
powers
Deepl’s
advantages
here? 

While
the
free
general-purpose
translation
services
tools
you
mentioned
may
work
well
enough
for
casual
use
cases
like
talking
to
friends
or
reading
articles
in
other
languages,
DeepL
offers
specialized
AI-based
translation
and
writing
tools
that
are
secure,
sophisticated,
and
designed
specifically
for
business
and
corporate
use
cases
where
the
stakes
are
far
higher.
This
differentiation
is
critical
for
law
firms
and
legal
teams.

Unlike
general-purpose
AI
systems,
DeepL’s
cutting-edge
translation
and
writing
solutions
rely
on
specialized
AI
models
tuned
specifically
for
language

we
combine
the
expertise
of
world-class
AI
and
ML
research
and
engineering
with
the
knowledge
of
thousands
of
leading
linguists
to
uniquely
specialize
in
complex
language
tasks.
As
I
mentioned
earlier,
privacy
and
security
are
also
central
to
our
offering.
We
adhere
to
the
highest
standards
and
state-of-the-art
data
encryption,
which
are
always
priorities
for
our
legal
sector
customers.


Now,
aside
from
your
own
company,
what
new
applications
of
gen
AI
do
you
think
will
be
most
transformative
for
the
legal
industry
in
the
immediate
future?
And
do
you
have
any
long-term
predictions? 

I
am
very
excited
about
the
potential
of
AI
to
improve
the
ways
that
lawyers
work.
My
team
is
using
a
chatbot,
with
great
success,
to
answer
routine
and
repeated
questions
in
relation
to
our
customer
contracts
and
also
general
legal
questions
(particularly
successfully
in
fields
where
there
is
a
large
bank
of
law
and
guidance,
like
privacy)

saving
my
lawyers’
time
for
more
complex
and
strategic
work.
The
ability
to
extract
large
quantities
of
data
by
simply
uploading
documents
is
also
a
game
changer.
We
will
find
considerably
more
exciting
and
empowering
tasks
for
junior
lawyers
than
the
due
diligence
review
of
reams
of
contracts
to
which
I
was
subjected
in
the
early
2000s!

I
think
long-term
predictions
in
a
field
as
fast-moving
as
AI
are
inadvisable

when
I
was
a
junior
lawyer
the
sorts
of
tools
that
are
already
commonplace
would
have
looked
like
science
fiction!

Most Young Legal Professionals Think Their Jobs Aren’t Good For Their Mental Health – Above the Law

Do
you
like
your
job?
And
before
you
answer,
that
is
a
different
question
from
“Do
you
feel
like
your
job
pays
you
an
adequate
amount?”
Do
you
enjoy
the
work
that
you
do,
is
it
fulfilling,
does
it
have
a
positive
impact
on
your
mental
health?
If
yes,
phenomenal!
If
not

depending
on
the
demographics

you’re
in
the
majority.
A
recent
survey
asked
legal
professionals
about
the
impact
that
their
jobs
have
had
on
their
mental
health
and
the
outcome
may
surprise
you.
The

ABA
Journal

has
coverage:

Only
36%
of
surveyed
legal
professionals,
including
lawyers,
who
are
ages
18
to
34
said
work
had
a
positive
effect
on
mental
health.
The
percentage
increased
to
43%
for
those
ages
35
to
44,
50%
for
those
ages
45
to
54,
and
62%
for
those
ages
55
and
older.

The
results
of
the
survey
have
gendered
outcomes:
half
of
male
lawyers
at
larger
firms
report
a
positive
effect
while
only
35%
of
female
lawyers
report
the
same.
Despite
being

the
majority
of
law
firm
associates
,

gender
bias
could
explain

some
of
the
discrepancy
in
workplace
satisfaction,
not
to
mention
the
existential
risk
that

your
firm
may
decide
to
gut
a
chunk
of
parental
leave
for
no
clear
reason
at
any
time
.

There
is
also
a
pervasive
sense
of
resentment
toward
workers
in
the
zeitgeist;
quiet
quitting
has
been
thought
of
as
a
burnout
indicator
for
years,
in
addition
to
the
very
concept
coming
under
scrutiny

the
argument
being
that
terms
like
“quiet
quitting”
and
the
like
are
just
PC
terms
for
employees
being
mad
about
the
expectation
of
doing
unpaid
labor:

There’s
a
case
for
giving
a
little
leeway
for
unpaid
labor
when
you’re
making
north
of
$250k
a
year,
but
that’s
neither
here
nor
there.
If
you’d
like
to
read
the
study
directly,
you
can
find
it

here
.


Only
36%
Of
Young
Legal
Professionals
Say
Work
Has
Positive
Impact
On
Mental
Health,
New
Survey
Finds

[ABA
Journal]



Chris
Williams
became
a
social
media
manager
and
assistant
editor
for
Above
the
Law
in
June
2021.
Prior
to
joining
the
staff,
he
moonlighted
as
a
minor
Memelord™
in
the
Facebook
group Law
School
Memes
for
Edgy
T14s
.
 He
endured
Missouri
long
enough
to
graduate
from
Washington
University
in
St.
Louis
School
of
Law.
He
is
a
former
boatbuilder
who
cannot
swim, a
published
author
on
critical
race
theory,
philosophy,
and
humor
,
and
has
a
love
for
cycling
that
occasionally
annoys
his
peers.
You
can
reach
him
by
email
at [email protected] and
by
tweet
at @WritesForRent.

How Global Law Firms Are Bridging Cultures With AI – Above the Law

In
the
legal
profession,
where


cases
can
turn
on
the
interpretation
of
a
comma
,
global
organizations
need
the
highest-quality
tools
to
communicate
across
languages,
cultures,
and
markets.



Enter
DeepL
,
a
leading
global
Language
AI
company
offering
translation
and
writing
tools
used
by
over
100,000
businesses
and
governments
around
the
world
across
multiple
industries,
including
the
legal
field.

DeepL’s
AI
tools
have
become
a
critical
investment
for
companies
today,
addressing
a
variety
of
communication
challenges
ranging
from
internal
communications
between
teams
to
contract
drafting
and
legal
correspondence
support.

Here,
we
talk
with
Frankie
Williams,
DeepL’s
Chief
Legal
Officer,
who
sheds
light
on
how
law
firms
are
already
using
this
technology

and
how
AI
is
making
broader
inroads
in
the
industry.

Frankie Williams

Frankie
Williams


ATL:
You’ve
been
in
the
innovation
and
startup
world
for
several
years
now,
leading
multiple
companies
through
successful
IPOs,
but
you’ve
joined
DeepL
more
recently.
What
attracted
you
to
this
company
and
role? 

FW:
I
spent
just
over
a
decade
advising
clients
on
international
M&A
transactions,
and
in
2013
I
joined
King,
the
mobile
game
developer
that
makes
Candy
Crush

a
huge
culture
shock
after
so
many
years
in
law
firms!
We
listed
on
the
NYSE
in
2014
and
were
acquired
by
Activision
Blizzard
in
2016.
I
went
on
to
spend
over
five
years
at
luxury
ecommerce
platform
Farfetch,
including
working
on
the
group’s
restructuring
and
listing
on
the
NYSE
at
$5.8
in
September
2018.
During
those
years,
I
thrived
in
the
scaling
phase
of
building
teams
and
structures
to
mature,
which
is
what
attracted
me
to
DeepL.
I
was
also
drawn
to
DeepL
by
its
mission
to
break
down
language
barriers
for
businesses,
which
is
particularly
tangible
for
me
because
we
have
many
clients
who
are
legal
teams
and
law
firms.


Much
of
the
conventional
wisdom
in
legal
tech
is
that
2024
has
marked
a
transition
from
an
AI
hype
cycle
to
the
emergence
of
concrete
use
cases.
What
do
you
make
of
this
idea? 

This
is
a
trend
that
is
becoming
increasingly
evident
in
the
broader
context
of
AI
adoption
among
businesses
globally,
as
well
as
in
the
legal
industry
specifically.
There
has
been
a
growing
public
interest
in
AI,
particularly
in
the
last
year,
and
I
think
many
legal
leaders
are
now
realizing
that
the
real
value
of
AI
is
in
its
practical,
specific
applications
that
are
proven
to
address
real
challenges
and
improve
efficiency,
access,
and
decision-making.

Recent research from
LexisNexis
found
that
75%
of
the
legal
leaders
surveyed
have
used
generative
AI
tools,
either
personally
or
professionally,
with
many
believing
generative
AI
technology
will
decrease
costs
and
increase
revenue.
Lawyers
(me
included!)
are
certainly
becoming
more
comfortable
with
the
technology;
I
think
the
question
now
isn’t
whether
we
should
be
using
it,
but
rather,
which
AI
tools
will
dominate
in
the
legal
market.


Can
you
explain
the
benefits
of
AI
translation
and
writing
tools
for
lawyers
and
legal
firms?
What
challenges
do
these
tools
help
address
in
the
legal
field
today?

In
today’s
interconnected
world,
accurate
communication
is
more
important
than
ever.
DeepL
is
purpose-built
to
help
businesses
address
language
and
communication
challenges
with
our
suite
of
specialized
AI
translation
and
writing
services.

DeepL
addresses
several
common
challenges
faced
by
the
legal
sector,
including
understanding
information
in
non-native
languages,
translating
documents
accurately,
and
maintaining
high
writing
quality.
Our
legal
customers
use
DeepL
to
translate
and
process
contracts,
simplify
communication
with
clients
and
suppliers,
improve
internal
communication,
and
support
research
reports
and
publications.
By
enabling
more
accurate
and
precise
communication
with
clients
in
different
languages,
law
firms
can
improve
client
service
and
responsiveness.

For
in-house
legal
teams,
DeepL
is
also
used
for
the
creation
of
communications,
including
translated
compliance
documents,
policies
and
other
essential
materials,
aiding
understanding
and
compliance.
By
automating
routine
linguistic
tasks,
in-house
teams,
like
my
own,
can
increase
productivity
and
free
up
time
to
focus
on
strategic
initiatives
that
drive
greater
business
value.

According
to
our
customer
research,
the
vast
majority
of
legal
department
users
say
that
DeepL
speeds
up
their
work
and
improves
writing
quality.
A 2024
Forrester
Consulting
study
 found
that
one
legal
firm
using
DeepL
was
able
to
cut
the
time
spent
translating
a
two-
to
three-page
document
from
2-3
hours
to
under
15
minutes,
thanks
to
our
automation
and
document
upload
features.


Contract
drafting
and
other
legal
tasks
require
an
extreme
precision
of
language,
likely
beyond
that
required
by
just
about
any
other
profession.
How
does
AI
address
this
need
for
precision
in
translating
legal
documents
and
messages?

In
today’s
highly
litigious
world,
where
every
word
carries
significant
weight,
it
is
more
critical
than
ever
to
ensure
precision
in
translation
and
writing.
In
our
translation
quality
blind
tests
with
external
professional
translators
in
2024,
DeepL’s
translation
tools
were
preferred
over
competitors
at
a
rate
of
1.3x
more
than
Google
Translate,
1.7x
more
than
ChatGPT-4,
and
2.3x
more
than
Microsoft.
In
the
same
testing
DeepL
translations
required
2x
fewer
edits
than
Google
Translate
and
3x
fewer
edits
than
ChatGPT-4.

We
meet
the
need
for
precision
through
several
unique
capabilities:

  • Advanced,
    highly
    specialized
    large
    language
    model:
    The
    DeepL
    platform
    is
    built
    on
    next-generation
    LLM
    technology
    that
    is
    uniquely
    tuned
    for
    language,
    resulting
    in
    more
    human-like
    translations
    and
    writing
    for
    a
    variety
    of
    use
    cases
    with
    a
    reduced
    risk
    of
    hallucinations
    and
    misinformation.

  • Proprietary
    data
    for
    specific,
    contextual
    understanding:
    Unlike
    general
    purpose
    models
    that
    simply
    train
    on
    the
    public
    internet,
    the
    DeepL
    model
    leverages
    over
    seven
    years
    of
    proprietary
    data
    specifically
    tuned
    for
    content
    creation
    and
    translation.

  • Human
    model
    tutoring:
    With
    a
    focus
    on
    quality,
    the
    DeepL
    model
    leverages
    thousands
    of
    hand-picked
    language
    experts
    specifically
    trained
    to
    “tutor”
    the
    model
    to
    best-in-class
    translation.

Our
products
offer
extensive
customization
options.
Through
features
like
DeepL
glossaries,
legal
teams
can
tailor
translations
by
specifying
the
preferred
translations
of
words
and
phrases
for
specific
contexts.
We
recently
enhanced
our
glossary
functionality
to
include
the
industry’s
first
automatic
glossary
generator,
which
streamlines
the
translation
process
for
documents
containing
critical
brand
terms.
Our
translations
can
be
adjusted
to
align
with
the
desired
tone
of
voice,
depending
on
the
target
audience.


And
I
understand
DeepL
offers
more
than
just
AI-powered
translation
tools,
like
DeepL
Write.
Can
you
talk
about
these
other
DeepL
solutions,
and
how
lawyers
and
legal
firms
could
integrate
them
into
their
workflows? 

In
2017,
we
launched
our
flagship
product,
DeepL
Translate,
which
has
become
our
signature
product.
However,
we
continue
to
invest
heavily
in
research
and
innovation
to
build
out
our
capabilities.
In
April
this
year,
we
launched DeepL
Write
Pro
,
an
AI
writing
assistant
that
provides
writers
with
real-time
suggestions
on
phrasing,
style,
and
tone
while
understanding
the
context
of
business
communication.
DeepL
Write
Pro
acts
as
a
creative
assistant
to
writers
in
the
drafting
process,
elevating
their
text
with
real-time
AI-powered
suggestions
on
word
choice,
phrasing,
style
(simple,
business,
academic,
or
casual),
and
tone
(such
as
enthusiastic,
friendly,
confident,
or
diplomatic),
helping
to
ensure
the
professional
quality
of
writing,
enhancing
clarity
and
consistency.

A
lawyer’s
work
is
often
text-intensive.
I
find
DeepL
Write
Pro
an
invaluable
tool
that
enables
me
to
produce
precise,
high-quality,
and
consistent
writing
while
reducing
errors
and
improving
drafts.
I
particularly
like
the
new
“Shorten”
feature
which
helps
counter
my
lawyer
tendency
to
be
overly
verbose
to
ensure
my
communications
to
my
internal
clients
is
succinct
and
to
the
point.


Of
course,
security
concerns
are
at
the
core
of
using
AI
in
the
legal
industry.
Can
you
walk
us
through
some
of
DeepL’s
privacy
and
security
safeguards?
What
makes
Deepl
unique? 

The
protection
of
our
customers’
data
is
at
the
heart
of
DeepL’s
mission
and
product
offering.
Our
customer
base
is
diverse,
including
businesses
in
highly
regulated
sectors
such
as
financial
services
and
the
legal
industry,
and
ensuring
the
confidentiality
and
security
of
their
data
is
incredibly
important
to
us.
We
adhere
to
the
highest
enterprise-grade
privacy
and
security
standards
to
protect
user
data

these
include
state-of-the-art
data
encryption
and
the
General
Data
Protection
Regulation
(GDPR),
ISO
27001,
and
SOC
2
Type
2
standards.
We
do
not
use
any
text
from
our
subscribers
to
enhance
our
AI
models,
understanding
that
many
of
our
users
translate
sensitive
information.


Everyone
with
a
smartphone
can
download
Google
Translate
for
free
these
days,
getting
basic
language
translation
services.
What
does
a
more
sophisticated
service
like
DeepL
do
that
Google
Translate
cannot,
particularly
for
lawyers?
What
technology
powers
Deepl’s
advantages
here? 

While
the
free
general-purpose
translation
services
tools
you
mentioned
may
work
well
enough
for
casual
use
cases
like
talking
to
friends
or
reading
articles
in
other
languages,
DeepL
offers
specialized
AI-based
translation
and
writing
tools
that
are
secure,
sophisticated,
and
designed
specifically
for
business
and
corporate
use
cases
where
the
stakes
are
far
higher.
This
differentiation
is
critical
for
law
firms
and
legal
teams.

Unlike
general-purpose
AI
systems,
DeepL’s
cutting-edge
translation
and
writing
solutions
rely
on
specialized
AI
models
tuned
specifically
for
language

we
combine
the
expertise
of
world-class
AI
and
ML
research
and
engineering
with
the
knowledge
of
thousands
of
leading
linguists
to
uniquely
specialize
in
complex
language
tasks.
As
I
mentioned
earlier,
privacy
and
security
are
also
central
to
our
offering.
We
adhere
to
the
highest
standards
and
state-of-the-art
data
encryption,
which
are
always
priorities
for
our
legal
sector
customers.


Now,
aside
from
your
own
company,
what
new
applications
of
gen
AI
do
you
think
will
be
most
transformative
for
the
legal
industry
in
the
immediate
future?
And
do
you
have
any
long-term
predictions? 

I
am
very
excited
about
the
potential
of
AI
to
improve
the
ways
that
lawyers
work.
My
team
is
using
a
chatbot,
with
great
success,
to
answer
routine
and
repeated
questions
in
relation
to
our
customer
contracts
and
also
general
legal
questions
(particularly
successfully
in
fields
where
there
is
a
large
bank
of
law
and
guidance,
like
privacy)

saving
my
lawyers’
time
for
more
complex
and
strategic
work.
The
ability
to
extract
large
quantities
of
data
by
simply
uploading
documents
is
also
a
game
changer.
We
will
find
considerably
more
exciting
and
empowering
tasks
for
junior
lawyers
than
the
due
diligence
review
of
reams
of
contracts
to
which
I
was
subjected
in
the
early
2000s!

I
think
long-term
predictions
in
a
field
as
fast-moving
as
AI
are
inadvisable

when
I
was
a
junior
lawyer
the
sorts
of
tools
that
are
already
commonplace
would
have
looked
like
science
fiction!

How Global Law Firms Are Bridging Cultures With AI – Above the Law

In
the
legal
profession,
where


cases
can
turn
on
the
interpretation
of
a
comma
,
global
organizations
need
the
highest-quality
tools
to
communicate
across
languages,
cultures,
and
markets.



Enter
DeepL
,
a
leading
global
Language
AI
company
offering
translation
and
writing
tools
used
by
over
100,000
businesses
and
governments
around
the
world
across
multiple
industries,
including
the
legal
field.

DeepL’s
AI
tools
have
become
a
critical
investment
for
companies
today,
addressing
a
variety
of
communication
challenges
ranging
from
internal
communications
between
teams
to
contract
drafting
and
legal
correspondence
support.

Here,
we
talk
with
Frankie
Williams,
DeepL’s
Chief
Legal
Officer,
who
sheds
light
on
how
law
firms
are
already
using
this
technology

and
how
AI
is
making
broader
inroads
in
the
industry.

Frankie Williams

Frankie
Williams


ATL:
You’ve
been
in
the
innovation
and
startup
world
for
several
years
now,
leading
multiple
companies
through
successful
IPOs,
but
you’ve
joined
DeepL
more
recently.
What
attracted
you
to
this
company
and
role? 

FW:
I
spent
just
over
a
decade
advising
clients
on
international
M&A
transactions,
and
in
2013
I
joined
King,
the
mobile
game
developer
that
makes
Candy
Crush

a
huge
culture
shock
after
so
many
years
in
law
firms!
We
listed
on
the
NYSE
in
2014
and
were
acquired
by
Activision
Blizzard
in
2016.
I
went
on
to
spend
over
five
years
at
luxury
ecommerce
platform
Farfetch,
including
working
on
the
group’s
restructuring
and
listing
on
the
NYSE
at
$5.8
in
September
2018.
During
those
years,
I
thrived
in
the
scaling
phase
of
building
teams
and
structures
to
mature,
which
is
what
attracted
me
to
DeepL.
I
was
also
drawn
to
DeepL
by
its
mission
to
break
down
language
barriers
for
businesses,
which
is
particularly
tangible
for
me
because
we
have
many
clients
who
are
legal
teams
and
law
firms.


Much
of
the
conventional
wisdom
in
legal
tech
is
that
2024
has
marked
a
transition
from
an
AI
hype
cycle
to
the
emergence
of
concrete
use
cases.
What
do
you
make
of
this
idea? 

This
is
a
trend
that
is
becoming
increasingly
evident
in
the
broader
context
of
AI
adoption
among
businesses
globally,
as
well
as
in
the
legal
industry
specifically.
There
has
been
a
growing
public
interest
in
AI,
particularly
in
the
last
year,
and
I
think
many
legal
leaders
are
now
realizing
that
the
real
value
of
AI
is
in
its
practical,
specific
applications
that
are
proven
to
address
real
challenges
and
improve
efficiency,
access,
and
decision-making.

Recent research from
LexisNexis
found
that
75%
of
the
legal
leaders
surveyed
have
used
generative
AI
tools,
either
personally
or
professionally,
with
many
believing
generative
AI
technology
will
decrease
costs
and
increase
revenue.
Lawyers
(me
included!)
are
certainly
becoming
more
comfortable
with
the
technology;
I
think
the
question
now
isn’t
whether
we
should
be
using
it,
but
rather,
which
AI
tools
will
dominate
in
the
legal
market.


Can
you
explain
the
benefits
of
AI
translation
and
writing
tools
for
lawyers
and
legal
firms?
What
challenges
do
these
tools
help
address
in
the
legal
field
today?

In
today’s
interconnected
world,
accurate
communication
is
more
important
than
ever.
DeepL
is
purpose-built
to
help
businesses
address
language
and
communication
challenges
with
our
suite
of
specialized
AI
translation
and
writing
services.

DeepL
addresses
several
common
challenges
faced
by
the
legal
sector,
including
understanding
information
in
non-native
languages,
translating
documents
accurately,
and
maintaining
high
writing
quality.
Our
legal
customers
use
DeepL
to
translate
and
process
contracts,
simplify
communication
with
clients
and
suppliers,
improve
internal
communication,
and
support
research
reports
and
publications.
By
enabling
more
accurate
and
precise
communication
with
clients
in
different
languages,
law
firms
can
improve
client
service
and
responsiveness.

For
in-house
legal
teams,
DeepL
is
also
used
for
the
creation
of
communications,
including
translated
compliance
documents,
policies
and
other
essential
materials,
aiding
understanding
and
compliance.
By
automating
routine
linguistic
tasks,
in-house
teams,
like
my
own,
can
increase
productivity
and
free
up
time
to
focus
on
strategic
initiatives
that
drive
greater
business
value.

According
to
our
customer
research,
the
vast
majority
of
legal
department
users
say
that
DeepL
speeds
up
their
work
and
improves
writing
quality.
A 2024
Forrester
Consulting
study
 found
that
one
legal
firm
using
DeepL
was
able
to
cut
the
time
spent
translating
a
two-
to
three-page
document
from
2-3
hours
to
under
15
minutes,
thanks
to
our
automation
and
document
upload
features.


Contract
drafting
and
other
legal
tasks
require
an
extreme
precision
of
language,
likely
beyond
that
required
by
just
about
any
other
profession.
How
does
AI
address
this
need
for
precision
in
translating
legal
documents
and
messages?

In
today’s
highly
litigious
world,
where
every
word
carries
significant
weight,
it
is
more
critical
than
ever
to
ensure
precision
in
translation
and
writing.
In
our
translation
quality
blind
tests
with
external
professional
translators
in
2024,
DeepL’s
translation
tools
were
preferred
over
competitors
at
a
rate
of
1.3x
more
than
Google
Translate,
1.7x
more
than
ChatGPT-4,
and
2.3x
more
than
Microsoft.
In
the
same
testing
DeepL
translations
required
2x
fewer
edits
than
Google
Translate
and
3x
fewer
edits
than
ChatGPT-4.

We
meet
the
need
for
precision
through
several
unique
capabilities:

  • Advanced,
    highly
    specialized
    large
    language
    model:
    The
    DeepL
    platform
    is
    built
    on
    next-generation
    LLM
    technology
    that
    is
    uniquely
    tuned
    for
    language,
    resulting
    in
    more
    human-like
    translations
    and
    writing
    for
    a
    variety
    of
    use
    cases
    with
    a
    reduced
    risk
    of
    hallucinations
    and
    misinformation.

  • Proprietary
    data
    for
    specific,
    contextual
    understanding:
    Unlike
    general
    purpose
    models
    that
    simply
    train
    on
    the
    public
    internet,
    the
    DeepL
    model
    leverages
    over
    seven
    years
    of
    proprietary
    data
    specifically
    tuned
    for
    content
    creation
    and
    translation.

  • Human
    model
    tutoring:
    With
    a
    focus
    on
    quality,
    the
    DeepL
    model
    leverages
    thousands
    of
    hand-picked
    language
    experts
    specifically
    trained
    to
    “tutor”
    the
    model
    to
    best-in-class
    translation.

Our
products
offer
extensive
customization
options.
Through
features
like
DeepL
glossaries,
legal
teams
can
tailor
translations
by
specifying
the
preferred
translations
of
words
and
phrases
for
specific
contexts.
We
recently
enhanced
our
glossary
functionality
to
include
the
industry’s
first
automatic
glossary
generator,
which
streamlines
the
translation
process
for
documents
containing
critical
brand
terms.
Our
translations
can
be
adjusted
to
align
with
the
desired
tone
of
voice,
depending
on
the
target
audience.


And
I
understand
DeepL
offers
more
than
just
AI-powered
translation
tools,
like
DeepL
Write.
Can
you
talk
about
these
other
DeepL
solutions,
and
how
lawyers
and
legal
firms
could
integrate
them
into
their
workflows? 

In
2017,
we
launched
our
flagship
product,
DeepL
Translate,
which
has
become
our
signature
product.
However,
we
continue
to
invest
heavily
in
research
and
innovation
to
build
out
our
capabilities.
In
April
this
year,
we
launched DeepL
Write
Pro
,
an
AI
writing
assistant
that
provides
writers
with
real-time
suggestions
on
phrasing,
style,
and
tone
while
understanding
the
context
of
business
communication.
DeepL
Write
Pro
acts
as
a
creative
assistant
to
writers
in
the
drafting
process,
elevating
their
text
with
real-time
AI-powered
suggestions
on
word
choice,
phrasing,
style
(simple,
business,
academic,
or
casual),
and
tone
(such
as
enthusiastic,
friendly,
confident,
or
diplomatic),
helping
to
ensure
the
professional
quality
of
writing,
enhancing
clarity
and
consistency.

A
lawyer’s
work
is
often
text-intensive.
I
find
DeepL
Write
Pro
an
invaluable
tool
that
enables
me
to
produce
precise,
high-quality,
and
consistent
writing
while
reducing
errors
and
improving
drafts.
I
particularly
like
the
new
“Shorten”
feature
which
helps
counter
my
lawyer
tendency
to
be
overly
verbose
to
ensure
my
communications
to
my
internal
clients
is
succinct
and
to
the
point.


Of
course,
security
concerns
are
at
the
core
of
using
AI
in
the
legal
industry.
Can
you
walk
us
through
some
of
DeepL’s
privacy
and
security
safeguards?
What
makes
Deepl
unique? 

The
protection
of
our
customers’
data
is
at
the
heart
of
DeepL’s
mission
and
product
offering.
Our
customer
base
is
diverse,
including
businesses
in
highly
regulated
sectors
such
as
financial
services
and
the
legal
industry,
and
ensuring
the
confidentiality
and
security
of
their
data
is
incredibly
important
to
us.
We
adhere
to
the
highest
enterprise-grade
privacy
and
security
standards
to
protect
user
data

these
include
state-of-the-art
data
encryption
and
the
General
Data
Protection
Regulation
(GDPR),
ISO
27001,
and
SOC
2
Type
2
standards.
We
do
not
use
any
text
from
our
subscribers
to
enhance
our
AI
models,
understanding
that
many
of
our
users
translate
sensitive
information.


Everyone
with
a
smartphone
can
download
Google
Translate
for
free
these
days,
getting
basic
language
translation
services.
What
does
a
more
sophisticated
service
like
DeepL
do
that
Google
Translate
cannot,
particularly
for
lawyers?
What
technology
powers
Deepl’s
advantages
here? 

While
the
free
general-purpose
translation
services
tools
you
mentioned
may
work
well
enough
for
casual
use
cases
like
talking
to
friends
or
reading
articles
in
other
languages,
DeepL
offers
specialized
AI-based
translation
and
writing
tools
that
are
secure,
sophisticated,
and
designed
specifically
for
business
and
corporate
use
cases
where
the
stakes
are
far
higher.
This
differentiation
is
critical
for
law
firms
and
legal
teams.

Unlike
general-purpose
AI
systems,
DeepL’s
cutting-edge
translation
and
writing
solutions
rely
on
specialized
AI
models
tuned
specifically
for
language

we
combine
the
expertise
of
world-class
AI
and
ML
research
and
engineering
with
the
knowledge
of
thousands
of
leading
linguists
to
uniquely
specialize
in
complex
language
tasks.
As
I
mentioned
earlier,
privacy
and
security
are
also
central
to
our
offering.
We
adhere
to
the
highest
standards
and
state-of-the-art
data
encryption,
which
are
always
priorities
for
our
legal
sector
customers.


Now,
aside
from
your
own
company,
what
new
applications
of
gen
AI
do
you
think
will
be
most
transformative
for
the
legal
industry
in
the
immediate
future?
And
do
you
have
any
long-term
predictions? 

I
am
very
excited
about
the
potential
of
AI
to
improve
the
ways
that
lawyers
work.
My
team
is
using
a
chatbot,
with
great
success,
to
answer
routine
and
repeated
questions
in
relation
to
our
customer
contracts
and
also
general
legal
questions
(particularly
successfully
in
fields
where
there
is
a
large
bank
of
law
and
guidance,
like
privacy)

saving
my
lawyers’
time
for
more
complex
and
strategic
work.
The
ability
to
extract
large
quantities
of
data
by
simply
uploading
documents
is
also
a
game
changer.
We
will
find
considerably
more
exciting
and
empowering
tasks
for
junior
lawyers
than
the
due
diligence
review
of
reams
of
contracts
to
which
I
was
subjected
in
the
early
2000s!

I
think
long-term
predictions
in
a
field
as
fast-moving
as
AI
are
inadvisable

when
I
was
a
junior
lawyer
the
sorts
of
tools
that
are
already
commonplace
would
have
looked
like
science
fiction!

Top Biglaw Firm Leaves China Behind As It Closes Its Beijing Office – Above the Law

(Photo
by
Kevin
Frayer/Getty
Images)

Biglaw
firms
are
continuing
to
leave
China,
closing
offices
there
left
and
right

and
the
latest
firm
to
do
so
will
be
left
without
a
single
outpost
in
Asia
as
a
result
of
the
closure.

As
noted
by

Law.com
International
,
WilmerHale
is
shutting
down
its
Beijing
office,
making
it
the
12th
U.S.
firm
to
leave
the
Chinese
market
in
the
past
18
months.
According
to
an
insider
at
the
firm,
the
office
is
expected
to
close
by
the
end
of
November,
with
operations
wound
down
by
March
2025,
at
the
end
of
WilmerHale’s
lease.
The
firm
offered
the
following
statement:

“Like
many
others,
WilmerHale
has
evaluated
our
global
footprint
and
has
made
the
decision
to
close
our
office
in
Beijing,”
a
Wilmer
spokesperson
told
Law.com
International.
“We
will
continue
to
offer
the
highest
levels
of
service
and
expertise
in
trade,
sanctions
and
export
control,
anti-money
laundering,
and
corporate
transactions
to
our
clients
operating
in
China
and
around
the
world.”

Wilmer
currently
employs
two
corporate
partners
and
two
associates
in
its
Beijing
office.
The
firm
did
not
offer
comment
on
whether
they
had
been
offered
severance
packages
or
relocation
opportunities.

Which
Biglaw
firm
will
be
the
next
say
zàijiàn
to
its
offices
in
China?
You
can email
us
 or
text
us
(646-820-8477)
if
you
have
any
intel.
Thank
you.


Wilmer
to
Become
12th
U.S.
Firm
in
Past
18
Months
to
Close
Office
in
Greater
China

[Law.com
International]



Staci ZaretskyStaci
Zaretsky
 is
a
senior
editor
at
Above
the
Law,
where
she’s
worked
since
2011.
She’d
love
to
hear
from
you,
so
please
feel
free
to

email

her
with
any
tips,
questions,
comments,
or
critiques.
You
can
follow
her
on

X/Twitter

and

Threads

or
connect
with
her
on

LinkedIn
.

After Saying COVID Would Only Kill 500 People, Law Professor Explains That He’s ALWAYS Thought Courts Should Overrule Scientists – Above the Law

There’s
a
decent
argument
that
no
single
human
being
did
more
to
prove
the
merits
of
the

Chevron

doctrine
than
law
professor
Richard
Epstein.
Before
the
Supreme
Court’s
last
Term
shift,
the
law
recognized
that,
when
it
comes
to
scientific
disputes
over
what
constitutes
toxic
waste
in
vague,
open-ended
public
safety
laws,
the
courts
should
default
to
the
actual
government
scientists
charged
with
implementing
those
statutes.
Now

John
Roberts
gets
to
decide
how
much
rat
poison
is
safe
to
put
in
a
hot
dog
.
COMFORTING!

But
Epstein
was,
unintentionally,
way
ahead
of
the
game
in
proving
why
this
result
is
so
deadly.

Epstein

took
to
the
pages
of
the
Hoover
Institution
on
March
18,
2020
,
to
explain
to
all
the
bedwetting
doctors
and
public
health
experts
out
there
that
he,
as
a
LAWYER,
had
already
considered
the
arrival
of
COVID
upon
American
shores
and
determined
that
it
was
all
much
ado
about
nothing.
All
Epstein
really
needed
to
reach
this
conclusion
was
some
out-of-context
data
reported
by
the
always-reliable-on-the-subject
Chinese
government.
And
while,
at
the
time
and
to
this
day,
there
are
actual
medical
debates
over
the
relative
merits
of
lockdowns
vs.
other
prophylactic
measures,
Epstein
bypassed
citing
these
battles
of
the
experts
to
issue
his
own
analysis.
In
the
end,
Epstein
reasoned,
the
virus
then
rampaging
across
Europe
would

only
kill
about
500
people
!

By
noon
of
March
24,
2020

less
than
one
week
after
publishing
his
article!

the
death
toll
in
the
U.S.
already
reached
592.
Epstein
said
the
“500”
number
was
“smaller
than
I
intended
to
state”
and
revised
his
figure
to…
5,000.
Epstein
and
Hoover
stopped
making
corrections
after
his
new
estimate
confirmed
his
buffoonery.
But
here’s
what
he
said
at
that
time:

So
my
adjusted
figure,
however
tweaked,
remains
both
far
lower,
and
I
believe
far
more
accurate,
than
the
common
claim
that
there
could
be
a
million
dead
in
the
U.S…..

The
current
U.S.
death
toll
from
COVID
is

somewhere
north
of
1.2
million
right
now
.

Fast
forward
to
today
and

a
Federalist
Society
webinar

about
the
post-Chevron
legal
landscape.
It
seems
Epstein’s
experience
as
an
armchair
scientist
whiffing
on
public
health
with
deadly
consequences

Donald
Trump’s
administration

enthusiastically
clung
to
Epstein’s
baseless
analysis
at
the
outset
of
the
pandemic


has
taught
him
some
humility.

LOL,
just
kidding!

I’ll
bet
he
was.

A
shocking
number
of
lawyers
are
positively
convinced
that
they
know
more
about
every
subject
based
on
three
years
of
torts
and
civ
pro
than
real
scientists.
It
develops
when
a
lawyer
confuses
doing
the
research
to

explain

the
merits
of
16th
century
oil
painting
with
thinking
they’re
qualified
to
be
a
painter.
One
is
about
cultivating
a
flexible
mind
respecting
the
lawyer’s
gift
for
marshaling
and
communicating
expert
information
and
the
other
is
about
being
an
idiot.

It’s
a
special
brand
of
hubris
possessed
only
by
lawyers
and
your
friend
who
thinks
you’d
“have
a
lot
of
fun”
at
their
improv
night.

The
irony,
of
course,
is
that
the

Chevron

doctrine
began
as
a
right-wing
troll
that
could
allow
Reagan-era
administrators
to
bypass
Congress
and
lift
restrictions
on
whole
swaths
of
sludge
while
finally
counting
ketchup
as
a
vegetable
for
school
lunches.
But
it
quickly
morphed
into
its
more
logical
end

a
vehicle
for
trained
experts
to
fulfill
laws
that
Congress
intentionally
leaves
open-ended.
Because
legislators
aren’t
equipped
to
predict
every
potentially
toxic
substance
that
could
ever
be
invented,
but
can
command
agency
scientists
to
“stop
people
from
poisoning
lakes.”

But
apparently
Epstein
knew
even
back
then
that
he
and
his
fellow
law-degree-holding
friends
would
be
better
at
science
than
all
the
scienticians
out
there!

Now,
thanks
to
the
Supreme
Court,
he
can
realize
his
dream
of
empowering
an
army
of
J.D.s
to
“well,
actually”
every
nerd
who
successfully
passed
organic
chemistry.


Earlier
:

Remember
When
A
Law
School
Prof
Said
Only
500
Americans
Would
Die
Of
COVID?
Whatever
Happened
With
That?


John
Roberts
Says
Judges
Should
Decide
How
Much
Rat
Poison
Is
Too
Much
For
Your
Hot
Dogs


Mask
Mandate
Struck
Down
Because
‘Sanitation’
Doesn’t
Mean
‘Keeping
Things
Clean’
For…
Reasons




HeadshotJoe
Patrice
 is
a
senior
editor
at
Above
the
Law
and
co-host
of

Thinking
Like
A
Lawyer
.
Feel
free
to email
any
tips,
questions,
or
comments.
Follow
him
on Twitter or

Bluesky

if
you’re
interested
in
law,
politics,
and
a
healthy
dose
of
college
sports
news.
Joe
also
serves
as
a

Managing
Director
at
RPN
Executive
Search
.

Black, Latino, Women Healthcare Leaders Sign Letters in Support of Kamala Harris – MedCity News

Healthcare
leaders
are
taking
a
stand
in
the
approaching
presidential
election.

Last
week
,
more
than
two
dozen
Black
and
Latino
healthcare
technology
leaders
endorsed
Vice
President
Kamala
Harris
for
president
in
an
open
letter.
This
follows
a
similar

letter

signed
by
more
than
500
women
healthcare
leaders
in
support
of
Harris.

The
former
letter
was
organized
by
Abner
Mason,
founder
and
CEO
of
SameSkyHealth;
Dr.
Daniel
Turner-Lloveras,
co-founder
and
CEO
of
The
Latino
Health
Innovation
Alliance
and
SaludConTech;
and
Kevin
Dedner,
health-tech
entrepreneur
and
author.
In
the
letter,
the
leaders
note
that
Harris
has
shown
a
“deep
understanding
of
the
structural
barriers
that
communities
of
color
face
in
healthcare.”
They
added
that
she
has
championed
policies
that
expand
digital
health,
support
minority
entrepreneurs
and
help
community-driven
solutions.

“As
healthcare
innovators,
we’ve
dedicated
our
lives
to
building
health-improving,
and
sometimes
life-saving
innovations
and
therapies,”
Mason
told
MedCity
News
in
an
email.
“Without
health
insurance,
these
innovations
would
only
benefit
the
wealthy.
Trump
continues
to
push
to
repeal
the
Affordable
Care
Act
(ACA),
while
refusing
to
offer
a
real
alternative
to
the
45
million
Americans
who
now
get
their
health
insurance
as
a
result
of
the
ACA.
After
a
term
as
President,
and
four
years
since,
Trump
still
has
only
‘concepts
of
a
plan’
for
the
millions
who
will
lose
their
health
insurance
if
he
prevails.
This
is
not
only
insufficient,
it
is
disqualifying.” 

Mason
is
referring
to
a
comment
that
Trump
made
during
the

September
presidential
debate
,
in
which
he
was
asked
if
he
has
a
plan
for
the
ACA
and
said
that
he
has
“concepts
of
a
plan.”

The
letter
among
women
healthcare
leaders,
meanwhile,
was
led
by
Missy
Krasner,
healthcare
investor
and
board
advisor;
Miriam
Paramore,
health
information
technology
expert;
Lori
Evans
Bernstein,
former
CEO
and
founder
of
Caraway;
Dr.
Molly
Coye,
former
board
member
of
Aetna/American
Hospital
Association;
Laurie
McGraw,
executive
vice
president
of
Transcarent;
and
Audrey
Mann
Cronin,
advisor
to
healthcare
CEOs.
The
group
is
called
the

Women
Healthcare
Leaders
for
Progress
.

This
group
is
focused
on
three
areas
within
healthcare:
reproductive
rights,
affordable
health
insurance
and
preserving
Medicare
and
Medicaid.

“[We’ve]
been
around
healthcare
for
a
long
time,”
McGraw
told
MedCity
News
at
the
HLTH
conference
last
week.
“We
know
it’s
complex.
We
know
that
when
there
is
an
opportunity
for
Medicaid
expansion
that
people
get
better
care,
and
we
need
confidence
and
competence
in
the
White
House.

We’ve
all
been
in
quite
a
bit
of
shell
shock
still
from
Roe
v.
Wade
being
turned
back.

We
can’t
continue
to
go
backward
because
it’s
just
unacceptable.
So
this
was
an
effort
to
say
it
is
too
important
to
play
it
safe.
We’re
going
to
put
our
names
out
there.”

Leading
up
to
the
election,
both
groups
are
trying
to
educate
voters.
Mason
said
he’s
reaching
out
to
media
outlets
with
large
Black
and
Latino
readerships,
including
Black
Enterprise
and
People
of
Color
in
Tech.
Krasner
mentioned
that
the
Women
Healthcare
Leaders
for
Progress
is
organizing
in
swing
states
and
volunteering
to
drive
voters
and
canvass.
While
the
group
isn’t
focused
on
policy
work,
it
is
dedicated
to
spreading
awareness.

Some
healthcare
players
have
also
come
out
in
support
of
Trump,
particularly

VCs
,
The
Atlantic
reported.
For
example,
VC
firm
Andreessen
Horowitz
co-founders
Marc
Andreessen
and
Ben
Horowitz
backed
Trump,
though
Horowitz

later
announced

a
“significant
donation”
to
support
Harris,
according
to
the
Financial
Times.
There
is
also
a

group
of
VCs

backing
Harris.

Following
the
election,
Mason
said
his
group
plans
to
meet
with
the
new
administration

which
they
hope
will
be
a
Harris
administration

to
share
their
perspective.
The
group’s
policy
priorities
for
the
new
administration
include
expanding
digital
access,
implementing
safeguards
against
algorithmic
bias,
investing
in
Medicaid
and
supporting
minority
entrepreneurs.
Krasner
said
that
if
Trump
is
elected,
the
Women
Healthcare
Leaders
for
Progress
will
continue
its
advocacy
work.
If
Harris
is
elected,
however,
“there’s
enough
of
us
that
are
already
working
in
healthcare
that
are
pretty
tapped
in”
with
the
White
House.


Photo:
MarianVejcik,
Getty
Images

Morning Docket: 10.30.24 – Above the Law

(Photographer:
Stefani
Reynolds/Bloomberg)

*
David
Boies
thinks
the
Supreme
Court
doesn’t
want
a

Bush
v.
Gore

redux
and
the
brutal
reputation
hit
that
carried.
Which
would
be
the
prudent
response
of
a
credible
institution,
but
after

Dobbs,
and

Bruen
,
and

Trump
some
men
(and
one
woman)
just
want
to
watch
the
world
burn.
[National
Law
Journal
]

*
Supporting
his
theory,
the
Supreme
Court
just
declined
to
enter
the
fray
to
remove
RFK
Jr
from
state
ballots,
meaning
Trump’s
new
brain
worm
buddy
will
continue
splitting
votes.
[Law360]

*
Jones
Day
is
back
on
the
MAGA
train
officially,
putting
in
the
hours
to
disenfranchise
battleground
state
voters.
[Bloomberg
Law
News
]

*
Lawyer
disciplined
for
sending
threatening
letters
to
schools
over
COVID
measures.
[LegalCheek]

*
Kamala
Harris’s
law
school

UC
San
Francisco

sees
an
applicant
surge.
[Reuters]

*
Interesting
look
at
Susman’s
approach
to
getting
young
attorneys
meaningful
trial
experience.
[Litigation
Daily
]

*
Lawyer
based
her
career
off

Bull
Durham

and
it
sorta
works.
[ABA
Journal
]