
Every
GC
I
know
is
preparing
AI
updates
for
their
board.
Some
send
quarterly
decks.
Others
prepare
deep-dive
strategy
sessions.
Many
scramble
to
distill
fast-moving
regulatory
developments
into
digestible
talking
points.
Yet
the
same
problem
keeps
surfacing.
Boards
walk
away
overwhelmed,
underinformed,
or
unsure
what
to
do
next.
The
issue
is
not
expertise.
The
issue
is
the
communication
structure.
AI
is
not
a
single
topic.
It
is
a
category
of
technologies,
risks,
opportunities,
and
governance
challenges
that
shift
every
quarter.
Boards
expect
GCs
to
make
sense
of
that
ambiguity,
but
most
legal
teams
still
present
AI
the
way
they
present
other
legal
updates.
They
start
with
the
complexity
and
hope
the
board
can
extract
the
insight.
This
is
backward.
Boards
need
a
narrative
spine
that
orients
them.
They
need
a
clear
answer
to
three
questions
before
anything
else.
What
is
happening?
Why
it
matters.
What
they
should
do.
This
is
where
many
well-intentioned
updates
fall
apart.
How
Complexity
Crowds
Out
Board-Level
Judgment
Boards
do
not
have
infinite
cognitive
bandwidth.
When
legal
teams
walk
in
with
dense
memos,
long
lists
of
risks,
or
technical
descriptions
of
model
behavior,
directors
lose
the
plot.
They
stop
hearing
what
they
need
and
start
trying
to
reconcile
details
that
are
irrelevant
to
their
role.
This
is
not
a
board
failure.
It
is
a
communication
failure.
The
board’s
job
is
not
to
understand
every
model
parameter,
regulatory
nuance,
or
implementation
detail.
Their
job
is
to
understand
what
the
company
is
trying
to
achieve
with
AI,
the
level
of
exposure
that
strategy
creates,
and
the
quality
of
the
decision-making
process
behind
it.
Anything
that
does
not
help
them
do
that
job
becomes
noise.
The
challenge
for
GCs
is
that
AI
produces
a
lot
of
noise.
Without
a
disciplined
way
to
structure
the
conversation,
the
board
gets
a
firehose
instead
of
a
signal.
That
is
how
misalignment
builds.
It
is
how
companies
end
up
with
boards
that
either
overreact
to
AI
risk
or
treat
it
as
a
passing
technical
curiosity.
Both
outcomes
hurt
the
business.
A
Simple
Principle:
Don’t
Communicate
AI
Until
You
Know
The
Story
Before
you
brief
the
board,
the
GC
must
answer
one
foundational
question.
What
is
the
story
of
AI
in
this
company
right
now?
Are
you
using
AI
to
improve
internal
efficiency?
Are
you
integrating
AI
into
customer-facing
products?
Are
you
navigating
heightened
regulatory
scrutiny?
Are
you
trying
to
get
ahead
of
competitors
who
are
moving
quickly?
If
you
cannot
articulate
the
story
in
one
sentence,
the
board
will
not
grasp
it
either.
Once
the
story
is
clear,
you
can
translate
it
into
the
governance
conversation.
But
most
lawyers
never
get
the
chance,
because
they
start
with
information
instead
of
meaning.
They
walk
the
board
through
the
activity
instead
of
the
direction.
They
overindex
on
what
legal
teams
are
seeing
rather
than
what
directors
need
to
understand.
This
is
where
the
What,
So
What,
Now
What
model
becomes
indispensable.
Why
The
What,
So
What,
Now
What
Model
Works
For
AI
The
model
forces
clarity.
It
requires
you
to
explain
the
situation,
the
significance,
and
the
next
steps
without
drowning
the
board
in
unnecessary
complexity.
It
aligns
the
GC’s
instinct
for
thoroughness
with
the
board’s
need
for
strategic
focus.
And
it
forces
the
GC
to
make
a
judgment
call,
not
a
data
dump.
AI
is
moving
too
quickly
for
meandering
updates.
Boards
want
to
understand
whether
AI
is
creating
opportunity,
introducing
exposure,
or
reshaping
operational
assumptions.
They
want
to
know
where
the
company
is
positioned
relative
to
peers.
They
want
to
feel
confident
that
management
is
not
only
aware
of
the
risks
but
is
actively
shaping
the
company’s
future.
The
model
helps
you
do
that
by
building
a
pathway
from
information
to
meaning
to
action.
It
guides
the
conversation
so
the
board
can
govern
with
clarity
rather
than
react
with
confusion.
How
GCs
Lose
Credibility
Without
a
Framework
Even
sophisticated
legal
teams
unintentionally
overwhelm
the
board
when
they
treat
AI
like
a
traditional
compliance
topic.
They
include
too
much
detail
about
regulations
that
have
not
been
finalized,
too
many
definitions,
or
too
many
examples
of
model
failure.
They
confuse
breadth
with
credibility.
They
think
thoroughness
builds
trust.
It
does
the
opposite.
Boards
trust
clarity.
They
trust
judgment.
They
trust
the
GC
who
can
walk
into
a
meeting
and
say
something
simple
and
true.
Here
is
what
is
changing.
Here
is
why
it
matters.
Here
is
what
we
recommend.
That
kind
of
communication
signals
maturity
and
strategic
leadership.
It
also
demonstrates
that
the
GC
understands
what
the
board
needs,
not
only
what
the
legal
team
knows.
This
is
the
difference
between
a
legal
update
and
a
governance
moment.
AI
Requires
A
Governance
Lens,
Not
A
Technical
Lens
AI
is
transforming
business
models,
cost
structures,
customer
expectations,
and
competitive
dynamics.
It
is
also
attracting
political
scrutiny,
regulatory
fragmentation,
and
public
uncertainty.
Boards
want
to
know
how
those
changes
affect
the
company’s
risk
profile
and
long-term
health.
They
do
not
need
a
technical
seminar.
They
need
a
governance
frame.
The
What,
So
What,
Now
What
model
shifts
the
GC
into
that
governance
posture.
It
distills
complexity
down
to
the
elements
directors
use
to
exercise
oversight.
It
keeps
the
conversation
grounded
in
business
impact,
not
technical
curiosity.
It
also
helps
the
GC
anticipate
the
kinds
of
questions
directors
will
ask.
How
exposed
are
we?
How
does
this
affect
our
strategy?
What
safeguards
have
we
built?
What
decisions
require
board-level
engagement?
Without
this
structure,
conversations
drift.
With
it,
conversations
sharpen.
A
Better
Path
Forward
For
AI
Board
Communication
The
resource
you
shared,
What,
So
What,
Now
What:
Effectively
Communicating
With
Your
Board
About
Transformative
Technology
Such
as
Artificial
Intelligence,
lays
out
this
communication
method
in
depth.
It
gives
GCs
a
repeatable
way
to
brief
boards
with
clarity,
conciseness,
and
credibility.
It
breaks
down
how
to
diagnose
the
core
message,
separate
operational
detail
from
governance
insight,
and
close
the
conversation
with
a
clear
recommendation.
It
is
a
practical
tool
for
every
in-house
lawyer
navigating
AI
conversations
with
directors,
and
you
can
access
it
here.
The
model
does
not
oversimplify
AI.
It
helps
you
explain
it
in
a
way
that
empowers
better
oversight.
For
boards,
that
is
the
real
value.
The
GC’s
Role
Is
Evolving,
And
Communication
Is
Now
A
Core
Skill
AI
is
accelerating
the
evolution
of
the
GC
role.
Directors
expect
legal
leaders
to
steward
risk,
influence
strategy,
and
communicate
with
clarity
in
environments
that
lack
stable
answers.
Frameworks
like
What,
So
What,
Now
What
help
GCs
deliver
that
clarity
consistently.
They
also
help
legal
teams
build
stronger,
more
confident
relationships
with
their
boards.
And
they
prepare
the
organization
for
a
future
in
which
the
pace
of
technological
change
will
continue
to
accelerate.
If
you
want
to
sharpen
your
ability
to
communicate
about
complex
emerging
technologies,
start
with
a
structure
that
makes
meaning
out
of
complexity
instead
of
amplifying
it.
Boards
do
not
need
more
information.
They
need
a
signal.
And
the
GC
who
delivers
it
becomes
indispensable.
Olga
V.
Mack
is
the
CEO
of
TermScout,
where
she
builds
legal
systems
that
make
contracts
faster
to
understand,
easier
to
operate,
and
more
trustworthy
in
real
business
conditions.
Her
work
focuses
on
how
legal
rules
allocate
power,
manage
risk,
and
shape
decisions
under
uncertainty.
A
serial
CEO
and
former
General
Counsel,
Olga
previously
led
a
legal
technology
company
through
acquisition
by
LexisNexis.
She
teaches
at
Berkeley
Law
and
is
a
Fellow
at
CodeX,
the
Stanford
Center
for
Legal
Informatics.
She
has
authored
several
books
on
legal
innovation
and
technology,
delivered
six
TEDx
talks,
and
her
insights
regularly
appear
in
Forbes,
Bloomberg
Law,
VentureBeat,
TechCrunch,
and
Above
the
Law.
Her
work
treats
law
as
essential
infrastructure,
designed
for
how
organizations
actually
operate.


Kathryn






