
Ed.
note:
This
is
the
latest
in
the
article
series, Cybersecurity:
Tips
From
the
Trenches, by
our
friends
at Sensei
Enterprises,
a
boutique
provider
of
IT,
cybersecurity,
and
digital
forensics
services.
Every
few
months,
headlines
claim
that
artificial
intelligence
will
soon
replace
lawyers.
However,
the
reality
is
more
nuanced
and
intriguing.
Despite
significant
progress,
current
AI
systems
still
struggle
with
deep
legal
reasoning,
judgment,
and
innovative
problem-solving.
They
can
summarize
information,
organize
data,
and
draft
documents,
but
they
often
struggle
to
think
like
a
lawyer.
Meanwhile,
law
firms
are
heavily
investing
in
AI
leadership
and
infrastructure.
They
are
hiring
chief
AI
officers,
bringing
in
technologists
from
outside
the
legal
field,
and
creating
dedicated
AI
teams.
At
first
glance,
this
might
seem
like
panic;
in
reality,
it’s
a
strategic
move.
These
two
trends
aren’t
at
odds.
Instead,
they
show
where
AI
truly
fits
within
legal
practice
today.
AI
Is
Not
Replacing
Lawyers
AI
is
not
replacing
lawyers
because
it
cannot
reliably
perform
the
core
work
that
defines
the
profession.
Complex
legal
analysis
requires
context,
experience,
ethical
judgment,
and
strategic
reasoning.
Even
the
most
advanced
models
still
hallucinate,
misapply
precedent,
and
fail
when
confronted
with
genuinely
hard
legal
questions.
That
is
not
a
recipe
for
trusted
advocacy.
Most
lawyers
see
this
firsthand.
AI
can
help
review
documents,
draft
outlines,
or
flag
issues,
but
its
output
almost
always
requires
significant
human
correction.
Clients
still
expect
their
lawyers
to
explain
risks,
negotiate
outcomes,
persuade
decision
makers,
and
stand
behind
the
advice
they
give.
That
responsibility
has
not
changed.
Why
Law
Firms
Are
Betting
on
AI
Anyway
So
why
are
law
firms
racing
to
build
AI
capabilities?
Because
while
AI
is
not
good
enough
to
replace
lawyers,
it
is
already
good
enough
to
change
how
legal
services
are
delivered.
Firms
that
understand
this
are
not
trying
to
automate
judgment.
They
are
trying
to
remove
friction.
Law
firms
are
appointing
AI
leaders
to
incorporate
tools
into
their
workflows,
set
governance
standards,
train
lawyers
to
use
AI
responsibly,
and
develop
proprietary
systems
aligned
with
their
legal
practices.
These
roles
focus
on
enhancing
productivity,
ensuring
consistency,
and
maintaining
competitive
advantage,
rather
than
mere
experimentation.
AI
significantly
reduces
time
spent
on
routine
tasks
such
as
research,
discovery,
document
comparison,
and
initial
drafts,
allowing
lawyers
to
dedicate
more
time
to
strategy,
counseling,
and
advocacy.
This
results
in
faster
turnaround
times,
better
client
experience,
and
improved
profit
margins.
Some
firms
even
permit
associates
to
count
AI
training
as
part
of
their
billable
hours,
highlighting
AI
literacy
as
a
key
aspect
of
professional
competence.
Lawyers
who
lack
an
understanding
of
these
tools
and
their
limitations
will
find
it
challenging
to
supervise
their
use
effectively.
The
Real
Model:
Co-Pilot,
Not
Replacement
The
current
reality
is
not
about
replacement.
It
is
about
partnership.
AI
today
functions
more
like
a
co-pilot
(not
to
be
confused
with
Microsoft’s
Copilot
AI
product)
than
a
decision-maker.
It
handles
well-defined,
repeatable
tasks
efficiently.
Lawyers
remain
firmly
in
control
of
interpretation,
judgment,
and
accountability.
That
division
of
labor
is
not
a
weakness.
It
is
exactly
how
complex
professional
systems
evolve.
The
real
risk
for
lawyers
is
not
that
AI
will
take
their
jobs.
It
is
that
other
lawyers
will
use
AI
better
than
they
do.
Competitive
Risk,
Not
Job
Panic
Companies
that
prioritize
investment
in
leadership,
governance,
and
training
will
advance
more
quickly,
price
projects
more
competitively,
and
produce
more
reliable
results.
Conversely,
firms
that
dismiss
AI
as
a
mere
trend
or
prohibit
its
use
entirely
risk
lagging,
not
necessarily
because
machines
are
more
intelligent,
but
because
their
competitors
operate
more
efficiently.
Clients
are
already
inquiring
about
AI
in
proposals
and
projects.
They
want
assurance
on
confidentiality,
output
validation,
and
accountability.
These
questions
are
persistent
and
will
become
commonplace.
The
Bottom
Line
The
future
of
legal
work
is
not
fully
automated,
nor
is
it
unchanged.
It
is
augmented.
Lawyers
who
understand
AI’s
strengths
and
limits
will
thrive.
They
will
use
technology
to
handle
volume
while
reserving
human
expertise
for
the
moments
that
matter
most.
Lawyers
who
ignore
AI
or
fear
it
outright
will
find
themselves
explaining
why
routine
work
takes
longer
and
costs
more
than
it
should.
AI
is
not
coming
for
lawyers’
jobs.
It
is
coming
for
inefficiency,
complacency,
and
firms
without
a
plan.
And
that
is
a
much
more
uncomfortable
reality.
Michael
C.
Maschke
is
the
President
and
Chief
Executive
Officer
of
Sensei
Enterprises,
Inc.
Mr.
Maschke
is
an
EnCase
Certified
Examiner
(EnCE),
a
Certified
Computer
Examiner
(CCE
#744),
an
AccessData
Certified
Examiner
(ACE),
a
Certified
Ethical
Hacker
(CEH),
and
a
Certified
Information
Systems
Security
Professional
(CISSP).
He
is
a
frequent
speaker
on
IT,
cybersecurity,
and
digital
forensics,
and
he
has
co-authored
14
books
published
by
the
American
Bar
Association.
He
can
be
reached
at [email protected].
Sharon
D.
Nelson
is
the
co-founder
of
and
consultant
to
Sensei
Enterprises,
Inc.
She
is
a
past
president
of
the
Virginia
State
Bar,
the
Fairfax
Bar
Association,
and
the
Fairfax
Law
Foundation.
She
is
a
co-author
of
18
books
published
by
the
ABA.
She
can
be
reached
at [email protected].
John
W.
Simek
is
the
co-founder
of
and
consultant
to
Sensei
Enterprises,
Inc.
He
holds
multiple
technical
certifications
and
is
a
nationally
known
digital
forensics
expert.
He
is
a
co-author
of
18
books
published
by
the
American
Bar
Association.
He
can
be
reached
at [email protected].
