Most
contracts
are
written
for
a
world
that
pauses.
A
human
decides.
A
system
acts.
If
something
changes,
someone
notices,
and
the
contract
responds.
That
rhythm
is
baked
into
representations,
notice
provisions,
audit
rights,
and
remediation
clauses.
AI
is
quietly
breaking
that
rhythm.
As
software
begins
to
monitor,
decide,
and
act
continuously
within
defined
parameters,
contracts
are
starting
to
show
strain.
Not
because
anyone
suddenly
believes
machines
are
autonomous
in
a
sci-fi
sense,
but
because
the
assumptions
underlying
contract
structure
no
longer
map
cleanly
to
how
systems
behave.
What
‘Agentic’
Means
Without
The
Hype
Strip
away
the
buzzwords,
and
“agentic”
AI
isn’t
about
independent
intent.
It’s
about
continuity.
These
systems
don’t
wait
for
discrete
instructions.
They
operate
within
guardrails,
monitor
signals
in
real
time,
and
act
unless
or
until
a
threshold
is
crossed.
Humans
still
define
the
boundaries,
but
they
aren’t
involved
in
every
decision.
That
distinction
matters
legally.
Contracts
have
always
governed
action.
They
just
assumed
action
happened
in
bursts
rather
than
streams.
Why
Static
Promises
Break
Down
In
Continuous
Systems
Traditional
contracts
rely
heavily
on
static
commitments.
Representations
are
made
at
signing.
Audits
occur
periodically.
Notices
are
triggered
by
identifiable
events.
Continuous
systems
blur
those
lines.
Models
update.
Context
shifts.
Decisions
accumulate
gradually
rather
than
occurring
at
a
single
moment
in
time.
When
behavior
evolves
continuously,
it
becomes
harder
to
answer
basic
contractual
questions:
When
did
something
change?
When
should
notice
have
been
given?
Which
obligation
applies
to
which
version
of
the
system?
Static
promises
aren’t
wrong.
They’re
incomplete.
The
Early
Signals
Lawyers
Started
Seeing
In
2025
This
isn’t
a
story
about
mass
adoption.
It’s
about
early
signals.
In
2025,
a
subset
of
commercial
agreements
began
reflecting
discomfort
with
purely
static
governance.
Lawyers
started
experimenting,
cautiously,
with
clauses
that
acknowledge
ongoing
behavior
rather
than
one-time
events.
Those
signals
showed
up
as
conditional
permissions
instead
of
blanket
authorizations.
Event-based
notifications
replaced
calendar-based
ones.
Audit
rights
were
tied
to
system
behavior
or
material
changes
rather
than
annual
schedules.
Override
mechanisms
and
escalation
triggers
appeared
where
none
existed
before.
None
of
this
was
standardized.
None
of
it
was
uniform.
But
it
was
consistent
enough
to
suggest
a
shift
in
how
lawyers
were
thinking
about
risk.
From
Static
Obligations
To
Conditional
Execution
The
underlying
change
is
subtle
but
important.
Instead
of
promising
that
a
system
will
behave
a
certain
way
forever,
contracts
are
beginning
to
define
how
obligations
change
when
behavior
crosses
defined
boundaries.
If
a
threshold
is
exceeded,
additional
controls
apply.
If
a
system
adapts
materially,
disclosures
update.
If
automated
decisions
move
into
new
categories,
escalation
occurs.
This
doesn’t
make
contracts
predictive.
It
makes
them
responsive.
In
that
sense,
contracts
start
to
look
less
like
static
promises
and
more
like
rulebooks.
They
don’t
dictate
every
outcome.
They
define
how
to
respond
as
outcomes
evolve.
Why
This
Matters
Even
If
Clients
Aren’t
Asking
Yet
Most
clients
aren’t
asking
for
“agentic
AI”
clauses.
They
don’t
need
to.
They
are
asking
why
a
system
behaved
differently
over
time.
They
are
asking
when
a
change
became
material.
They
are
asking
who
was
supposed
to
notice
and
when.
Those
questions
surface
after
something
goes
wrong.
Contracts
that
only
speak
in
static
terms
struggle
to
answer
them.
This
is
where
friction
will
show
up
first.
Not
in
futurist
debates,
but
in
disputes
where
parties
argue
about
timing,
notice,
and
scope
in
systems
that
never
really
stopped
running.
Where
The
Risk
Sits
For
Lawyers
For
practitioners,
the
risk
isn’t
failing
to
predict
the
future.
It’s
failing
to
acknowledge
continuity.
Contracts
that
define
escalation
paths,
thresholds,
and
oversight
mechanisms
age
better
than
those
that
assume
stasis.
They
don’t
eliminate
risk,
but
they
make
behavior
legible
when
it
matters
most.
Saying
“we
didn’t
anticipate
that
behavior”
is
unlikely
to
be
a
persuasive
position
in
a
world
where
systems
are
designed
to
adapt.
Early
versions
of
these
patterns
appeared
across
a
subset
of
2025
commercial
agreements
and
are
examined
in
more
detail
in
a
recent
Contract
Trust
Report
exploring
how
contracts
are
adapting
to
continuous
systems.
The
Quiet
Shift
Underway
This
isn’t
about
rewriting
every
contract
for
autonomous
agents.
It’s
about
recognizing
that
software
no
longer
waits
for
humans
to
act
before
it
does.
Contracts
don’t
need
to
predict
every
outcome.
They
need
to
define
how
systems
behave
when
outcomes
evolve.
The
shift
toward
governing
continuous
behavior
has
already
begun,
quietly
and
unevenly.
By
the
time
it
feels
obvious,
it
will
be
too
late
to
treat
it
as
theoretical.
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.
Across
her
work,
she
treats
law
as
infrastructure,
something
that
should
be
reliable,
legible,
and
intentionally
designed
for
how
organizations
actually
operate.