With
all
of
these
conversations
taking
place
simultaneously
around
the
use
of
artificial
intelligence
in
law
practice,
it
begs
the
question:
What
happens
with
legal
documents?
You
know,
some
lawyers
out
there
are
still
using
paper
documents,
and
many
others
continue
to
rely
heavily
on
“find
and
replace.”
Does
that
mean
they’re
going
to
be
“found
and
replaced”?
It’s
always
been
the
case
that
attorneys
who
adopt
modern
technology
can
work
faster
and
more
effectively.
So,
when
will
your
document
drafting
processes
intersect
with
AI?
Perhaps
sooner
than
you
think
.
.
.
To
talk
over
the
timeline,
we
invited
onto
the
Non-Eventcast
podcast
a
couple
of
experts:
Dr.
Cain
Elliott,
head
legal
futurist
at
FileVine,
and
John
Rizner,
also
of
FileVine,
where
he
is
the
head
of
AI
legal
drafting.
Cain
and
John
started
off
discussing
whether
there
is
still
a
distinction
between
legal
research
and
legal
drafting,
or
if
it’s
all
just
one
melting
pot
at
this
point
(4:03,
4:40).
After
that,
John
and
Cain
got
into
how
best
to
transfer
data
into
and
out
of
AI
tools,
as
well
as
how
AI
programs
can
be
connected
to
each
other
and
other
legaltech
products
(7:41).
Next,
John
and
Cain
mused
over
whether
there
will
be
a
future
point
in
time
where
law
firms
don’t
rely
exclusively
on
Microsoft
Word
for
document
drafting
(11:08).
We
then
spoke
about
so-called
“autonomous
agents,”
the
next
step
in
the
development
of
AI,
which
will
become
massively
leveraged
alongside
legaltech
software
(13:14).
Cain
then
went
solo,
to
talk
over
how
law
firms
in
various
practice
areas
can
leverage
AI
for
document
management
(20:38)
to
enhance
attorneys’
creativity
while
simultaneously
reducing
the
unnecessary
complexity
often
introduced
into
those
documents
that
attorneys
draft
(26:51).
Finally,
Cain
directly
addresses
“hallucinations”
—
when
AI
makes
up
fake
cases
&
how
to
solve
for
that
(22:37).
But
you’re
not
hallucinating:
We’re
really
drilling
down
on
all
things
document
management
+
AI,
for
law
firms.
Hear
all
about
it,
at
our
latest,
greatest
episode
of
the
Non-Eventcast
podcast.