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Generative AI And Access To Justice: Incremental Solutions Or Overhyped Promises? – Above the Law

Image
courtesy
of
NetDocuments.

Last
month,

I
asked
whether
generative
artificial
intelligence
is
the
answer
to
the
access-to-justice
problem
.
I
expressed
skepticism,
suggesting
that
capitalism
always
trumps
best
intentions.
Sure,
generative
AI
could
expand
access
to
justice,
but
would
its
potential
ever
be
fully
realized?

But,
maybe,
just
maybe,
my
cynicism
was
misplaced.
What
if
generative
AI
as
an
access-to-justice
bridge
isn’t
just
a
pipe
dream?
What
if
partial
realization
is
all
we
need,
enabling
us
to
chip
away
at
the
access-to-justice
gap,
one
chatbot
at
a
time?

It
certainly
sounds
like
a
plausible
premise:
generative
AI
chatbots
are
a
feasible
way
for
courts
and
legal
aid
organizations
to
improve
access
to
justice.
In
theory,
by
leveraging
GenAI’s
conversational
and
responsive
capabilities,
these
institutions
can
address
longstanding
barriers
in
the
court
system.

But
theory
is
one
thing.
How
does
it
work
in
practice?
I
located
some
examples
and
quickly
realized
that
this
high-tech
gamble
might
be
paying
off.
Select
courts
and
legal
aid
groups
are
already
using
these
tools
to
benefit
the
public
while
also
reducing
administrative
strain
by
providing
self-represented
litigants
with
on-demand
legal
information
and
procedural
guidance.

Still
not
convinced?
Seeing
is
believing.
Check
out
some
examples
of
generative
AI-powered
chatbots
available
on
court
and
public
interest
group
websites:

  • Legal
    Aid
    of
    North
    Carolina
    offers
    the
    Legal
    Information
    AssistantThis
    generative
    AI
    chatbot,
    which
    answers
    questions
    in
    English
    or
    Spanish,
    was
    developed
    in
    partnership
    with

    LawDroid
    .
    It
    assists
    litigants
    in
    obtaining
    answers
    to
    an
    array
    of
    legal
    questions.
  • The
    Nevada
    Supreme
    Court
    recently
    released

    a
    generative
    AI-powered
    chatbot
    .
    It
    was
    developed
    by

    CiviLaw.Tech

    for
    the
    Nevada
    Supreme
    Court
    and
    offers
    easy-to-understand
    legal
    guidance
    in
    multiple
    languages,
    helping
    individuals
    understand
    their
    options
    and
    the
    procedural
    steps
    they
    need
    to
    take.

  • Missouri
    Tenant
    Help
    ,
    developed
    by

    Lemma
    Legal
    ,
    is
    an
    online
    resource
    for
    Missouri
    tenants
    seeking
    legal
    support.
    This
    intake
    screening
    tool
    assists
    with
    determining
    eligibility
    for
    assistance
    before
    speaking
    with
    program
    staff.
  • SANDI
    is
    a
    chatbot
    available
    on
    the
    Eleventh
    Judicial
    Circuit
    of
    Florida’s

    website
    .

    It
    was
    funded
    by
    a
    federal
    grant
    from
    the

    State
    Justice
    Institute,
    in
    collaboration
    with
    the

    National
    Center
    for
    State
    Courts

    (NCSC)
    and


    Advanced
    Robot
    Solutions
    ,
    which
    developed
    this
    AI-powered
    digital
    assistant.
  • The
    Law
    Center
    for
    Better
    Housing,
    the
    Illinois
    Equal
    Justice
    Foundation,
    and
    the
    Lawyers
    Trust
    Fund
    of
    Illinois
    worked
    together
    to
    roll
    out
    an
    AI
    chatbot, 

    Illinois
    Intervention
    . This
    virtual
    assistant
    assists
    Illinois
    tenants
    seeking
    assistance
    with
    housing
    issues,
    providing
    information
    and
    resources
    on
    housing
    rights.

These
examples
showcase
how
generative
AI
chatbots
are
beginning
to
reduce
the
barriers
faced
by
self-represented
litigants.
That
sounds
great,
but
not
so
fast.

While
the
potential
of
these
tools
is
undeniable,
it’s
important
to
temper
enthusiasm
with
a
healthy
dose
of
realism.
The
tools
deployed
thus
far
show
promise
but
are
far
from
comprehensive.
These
endeavors
address
specific,
often
narrow,
legal
needs.
To
remain
impactful,
ongoing
maintenance
and
thoughtful
design
will
be
necessary.

Additionally,
the
success
of
these
chatbots
depends
on
more
than
just
the
technology
itself.
Behind
each
implementation
is
a
patchwork
of
grants,
partnerships,
and
organizational
buy-ins,
which
means
scaling
these
efforts
is
a
challenge.
The
tools
might
work
well
in
localized
contexts,
but
their
broader
application
remains
uncertain,
especially
in
jurisdictions
where
resources
are
limited
or
priorities
lie
elsewhere.

Even
so,
these
incremental
steps
matter.
Each
chatbot
in
operation
today
is
a
test
case,
showing
what’s
possible
and
the
pitfalls
that
remain.

For
now,
generative
AI
chatbots
aren’t
revolutionizing
access
to
justice—far
from
it.
But
they
are
evidence
that
small,
practical
gains
in
access
to
justice
are
achievable
and
that
technology
can
be
part
of
the
solution.
Whether
these
efforts
can
grow
into
a
larger
systemic
shift
remains
an
open
question,
one
that
will
require
sustained
commitment,
funding,
and
innovation
to
answer.





Nicole
Black



is
a
Rochester,
New
York
attorney
and
Director
of
Business
and
Community
Relations
at




MyCase
,
web-based
law
practice
management
software.
She’s
been




blogging



since
2005,
has
written
a




weekly
column



for
the
Daily
Record
since
2007,
is
the
author
of




Cloud
Computing
for
Lawyers
,
co-authors




Social
Media
for
Lawyers:
the
Next
Frontier
,
and
co-authors




Criminal
Law
in
New
York
.
She’s
easily
distracted
by
the
potential
of
bright
and
shiny
tech
gadgets,
along
with
good
food
and
wine.
You
can
follow
her
on
Twitter
at




@nikiblack



and
she
can
be
reached
at





[email protected]
.