It’s
all
fun
and
games
to
imagine
a
robust
legal
research
AI
that
won’t
land
you
in
front
of
a
disciplinary
panel
or
a
document
summary
tool
that
can
replace
the
first-year
associate
drafting
that
memo
or
even
perform
the
focused
and
not
at
all
political
work
of
calling
“balls
and
strikes”
like
a
Supreme
Court
justice.
But
wherever
the
technology
is
headed,
it’s
not
really
there
yet.
But
that
doesn’t
mean
there
aren’t
opportunities
for
lawyers
to
take
advantage
of
the
technology
that
exists
already.
Unfortunately
most
of
the
oxygen
on
this
subject
is
sucked
up
by
starry
eyed
futurists
and
vendors
piling
on
promises
leaving
little
room
to
talk
about
what
we’ve
got
now.
The
ILTA
Evolve
show,
“AI
Unveiled:
Insights
into
how
AI
is
transforming
in
Legal,”
with
Scott
Kveton,
CEO
of
casemark.ai
and
Patrick
Arkins,
Manager
of
Business
Technology
Solutions
and
Innovation
at
Stradley
Ronon
Stevens
&
Young,
LLP
offered
a
conversation
grounded
in
today’s
potential.
And
frankly
you
don’t
really
recognize
how
undercovered
that
subject
is
until
you
have
the
jarring
experience
of
hearing
about
it
for
an
hour.
Kveton
set
the
stage
for
these
early
days
of
generative
AI
by
drawing
a
direct
parallel
to
the
iPhone.
At
this
point,
no
one
questions
the
impact
that
smartphones
have
upon
the
world.
In
fact,
very
few
doubted
that
the
tech
would
prove
revolutionary
at
launch.
And
yet,
what
were
the
top
downloaded
applications
in
the
early
days
of
the
iPhone?
One-click,
push-button
fart
apps.
So,
so
many
fart
apps.
Generative
AI
mostly
resides
in
the
realm
of
novelty
at
this
point.
But
while
most
users
shopped
for
sound
effects,
Starbucks
jumped
into
developing
a
revenue
stream
based
on
pocket
computing
worth
hundreds
of
millions.
Only
somewhat
shadily!
Breaking
down
the
AI
hype
into
level
1
and
level
2
tasks
provides
firms
an
opportunity
to
set
responsible
expectations.
Generating
insights
from
searchable
data,
automating
intake,
building
out
training
materials
are
all
on
the
table
now.
Image
analysis
in
insurance
matters
is
already
a
powerful
use
case.
Predictive
analysis
and
document
drafting…
potential
applications
where
generative
AI
tools
aren’t
really
ready
to
efficiently
and
responsibly
supplant
the
status
quo
yet.
Knowing
the
landscape
of
the
possible,
attorneys
can
build
their
skills
to
stay
ahead
of
the
wave
by
jumping
in
now.
No
matter
what
the
future
holds,
understanding
how
to
prompt
a
bot
will
be
the
key.
Did
you
know
that
you
could
do
this?
You’re
not
prepping
your
SCOTUS
oral
argument
this
way.
Or,
based
on
what
we
saw
last
week,
maybe
some
of
you
are.
But
preparing
for
a
client
pitch
by
cramming
the
basics
about
the
Boxite
industry
or
something?
This
is
pretty
useful.
I
suspect
most
users
working
with
a
generative
AI
at
this
point
ask
one-
or
two-sentence
queries
at
most.
If
that’s
all
you’re
doing,
you’re
going
to
get
disillusioned
quickly
and
never
properly
flex
the
prompt
muscle.
What
about
this?
Instructing
the
tool
to
provide
an
answer
at
a
college-educated
or
seasoned
professional
level
might
be
useful
in
most
instances.
But
don’t
overlook
“explain
it
to
me
like
I’m
stoned,”
which
can
be
quite
helpful
too.
Without
getting
into
all
the
slides
—
this
is
why
you
should
attend
these
events
—
I
do
think
it’s
worth
flagging
some
of
the
suggested
sites
for
anyone
out
there
learning
how
to
use
these
tools:
Happy
prompting.
Joe
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 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.
