Are
courts
the
next
frontier
for
legal
AI? Shlomo
Klapper,
founder
and
CEO
of
the
AI-driven
judicial
case-preparation
platofrm Learned
Hand,
believes
they
are.
A
former
litigator
at
Quinn
Emanuel
and
law
clerk
for
the
2nd
U.S.
Circuit
Court
of
Appeals,
Klapper
is
building
what
he
calls
a
“reasoning
engine”
for
judges
—
AI
tools
designed
to
help
them
manage
crushing
caseloads
by
organizing
case
materials,
flagging
when
lawyers
bend
the
truth,
and
drafting
bench
memos
and
orders.
LawNext
host
Bob
Ambrogi
interviews
Klapper
on
the
heels
of
significant
news:
Learned
Hand
just
announced
a
partnership
with
the
Superior
Court
of
Los
Angeles
County,
the
largest
trial
court
in
the
nation,
to
explore
how
AI
can
support
judicial
officers
across
the
full
arc
of
a
case
—
from
filing
through
drafting.
The
company’s
technology
—
the
only
AI
built
exclusively
for
the
judiciary
—
is
also
used
by
the
Michigan
Supreme
Court
and
trial
courts
in
10
states.
In
today’s
conversation,
Klapper
discusses
why
courts
are
the
next
frontier
for
legal
AI,
what
it
takes
to
earn
the
trust
of
judges,
and
how
Jevons
Paradox
—
the
idea
that
as
legal
services
get
cheaper,
demand
will
explode
—
is
reshaping
the
justice
system.
They
also
dig
into
the
difficult
questions
around
how
Learned
Hand
addresses
concerns
about
bias
and
hallucinations,
and
how
it
can
overcome
judges’
skepticism
about
AI
and
achieve
broad
judicial
adoption.
Listen
here:
Watch
here:
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