Nonequity Partners: It’s Not Personal, It’s Just Business – Above the Law

Once
upon
a
time,
there
were
two
classes
of
lawyers
in
law
firms:
partners
and
associates.
The
associates
typically
came straight out
of
law
schools,
worked
for
5-7
years
under
the tutelage of
the
partners,
and
then most
of
them
became
partners.
The
ones
who didn’t
would often
end
up
in-house
as
clients,
so
it
behooved
everyone
to
treat
each
other
with
some
respect.
The
partners
shared
in
the
profits
and
decision-making
and
were generally at
the
firm
of
the
rest
of
their
career.


2026
Law
Firm
Reality

That
time
is
long
since
gone. Today,
partners change firms
like
prize
college
athletes willy-nilly
transfer
to schools offering a
better
deal.
Partners
that
don’t perform are
“de-equitized”
and
either
demoted
or
asked
to
leave.
And
there
is
a
new
class
of
lawyers

the
“nonequity “partner. 

Nonequity
partners are
PINOs

partners
in
name
only.
They
typically
don’t
share
in
profits
and
have
no
say
in
decision-making.
They
are
in
fact employees of
firms,
just
like
associates.
The
only
benefit
they
get
is
the
ability
to
hold
themselves
out
as
“partners”
to
clients,
itself
a sleight of
hand
designed
to
make
clients think
they
are getting something
they
aren’t,
a real partner
working
on
their
case.


Why the Nonequity?

The
profession,
er,
business,
got
into
this
in
the
great
expansion
of
lawyers
that
began
in
the
80s. All
of sudden,
firms
were
faced
with
large
classes
of
associates
that
were
up
for partnership.
They
were
also
faced
with
more distinctions in
talent
within
associate
ranks.
More
than
that,
as
the
law
became
more
of
a
business
and
less
a
profession,
talent
was more
and
more
defined
as
origination
of
business,
profitability, and
hours
worked.

There
was
less
room
for
talented
lawyers
needed
to
work
the
cases
who
didn’t
necessarily
have
business origination skills. But
the
law
firms
and
equity
partners
thought
they
couldn’t
afford
to
lose
these
“worker
bees,”
as
they
called
them.
Hence
a
new
category
that
cost
the
equity
partners
little.

And
there
was
another
factor.
Since
partners
share
profits,
it
stands to
reason
that
the
fewer
partners
to
share
with,
the
greater
the
share
to
each.
All
of
this
culminated
in
the
new
nonequity
class.
Today,
it is standard
in
most
large
law
firms
for
there
to
be
a
large group of
these nonequity partners

workers
with
little
voice,
who
could
be
fired
at
will
(even
in
today’s
times, de-equitizing an
equity
partner
requires
a
bit
of
hard
analysis),
and
who
were
expected
to
continue
to
work
like
associates
to
keep
their
heads
above
water. 

So how’s
this
idea
working out
for
the
lawyers
caught
in
the
middle?


So,
 How’s that
Working
Out
for
You?

Equity
partners
would
say this
is
a
good
thing.
It
enables
younger
lawyers
who
can’t
quite
meet
partnership
standards
to
not
be unilaterally dumped
into
the
job
market.
It
assures
them
a
continued
job
(at
least as
long
as they
perform).
It
enables
the
firm
to
keep
the
talent
they
need
to serve the clients.

But
what
do
the nonequity partners
have
to
say? According to
recent
article
, in a flash Law.com
survey
of
1,345
attorneys, nonequity partners reported
the
lowest
satisfaction
scores
on
questions
about
compensation,
their
hourly
rates,
and
their
current
role
in
their
firms. Associates scored better
on all
of
these
categories. 

Think
about
that paradox.
It
suggests
that associates are
more
satisfied
with
their
roles
than
the nonequity so-called
partners. Thanks
for
the
promotion.

And it’s easy
to
see
why nonequity
partners
aren’t
very
happy.
Nonequity
partners
are
held
to
a
higher
standard than
associates.
They
are
often
expected
to manage associates
and
their
profitability
but may
not
get
firm financial information
to
help
them
do
that. 

They
have
little authority and
get
little recognition for
their
efforts.
In
many
respects,
they
are
treated
like
second-class
citizens. In
many
cases,
they
aren’t
allowed
to
sit
in
on
partner
meetings
or
if
they
are,
may
be
asked
to
leave
when
financial
or important issues
are
discussed.

One
other
surprising
finding, according
to
the
article, about
a
third
of
the
sample
are
required
to
provide
a
capital
contribution
to
receive
this
lofty
status,
just
like
equity
partners.
You have
to
pay
to
be
in
the club, but
you
can’t
use
the
facilities. You have
to
pay
for
a
promotion
that
feels
like
a
demotion.

And
it’s
getting
worse
as
law
firm
mergers
and
lateral
partners
results
in
equity
ranks
being increasingly closed. 

For
all
these
reasons,
nonequity
partnership
isn’t
beloved
by
those
forced
into
it.
It’s
why
the
concept
faced
internal
resistance
when
first
proposed.
It’s
also
why
equity
partners
kept
pushing
for
it:
the
math
works for
them.


The
Impact
of Nonequity 

However
one
views
whether
the
nonequity
distinction
is
good
or
bad,
it’s
not
going
to
change. The
real
difficulty
comes
from
thinking
we
are living in
the “once
upon
time” days
where
there
was
a
law
firm
culture
and
workplace
family.
It’s
long
gone.

Management has
to realize more
and
more professionals in
law
firms
are
not
happy.
That
dissatisfaction
impacts
productivity
and
law
firm
culture,
if
any
such
thing
remains
in
today’s
“it
just
business”
firm
workplace.

The
result: just
like
equity
partners,
when
nonequity
partners
aren’t
happy
where
they
are,
they
are
going
to
look
elsewhere.
With
the
advent
of
GenAI
tools
that reduce
the
learning
curve
for
all
sorts
of
legal
work,
nonequity
partners
have
more opportunities to
either
go
out
on
their
own
(with
the
word
partner
on
their
resume)
or
with
small
firms.

So
much
for
keeping
talented
lawyers
needed
to
do
the
work
who
don’t
originate
business.

The
result
is
increased volatility in
the
marketplace
all
the
way
around. There
is
less
institutional loyalty and
less willingness
to
act
for
the
good
of
the
firm for
long-range
planning
and
investment
initiatives.

In
today’s
world,
law
firms
are
just
a
business
with
players
that
make
business
decisions.
Maybe
that’s
a
good
thing
since
it
reflects
capitalism
in
its
basic
sense.
But
the
notion
of
a
law
firm
as
a
work
family
is
long
gone.
Thinking
that
there
are
any
remnants
is
a
mistake
for
associates,
nonequity
partners, equity
partners,
and
law
firm management. Just
like
law
firms
are
a
business,
so
are
the individuals who
work
in
it,
who
will
also
make
business
decisions. 

Want
to
keep
nonequity
partners?
Better take
into
account how
they
view
the
whole
concept.




Stephen
Embry
is
a
lawyer,
speaker,
blogger,
and
writer.
He
publishes TechLaw
Crossroads
,
a
blog
devoted
to
the
examination
of
the
tension
between
technology,
the
law,
and
the
practice
of
law
.

Trump DOJ Can’t Answer, ‘What Law Did My Client Allegedly Break?’ – Above the Law

If
you
were
looking
for
a
case
study
in
how

not

to
run
a
criminal
investigation,
congratulations:
the
Trump-era
Department
of
Justice
has
prepared
one
for
you,
complete
with
a
grand
jury
no-bill
and
prosecutors
who
apparently
could
not
identify
a
single
statute
their
targets
allegedly
violated.

The
effort
to
jail
six
Democratic
lawmakers
for
producing
a
video
advising
military
members
not
to
follow

illegal

orders
(a
position
that
is,
notably,
not
controversial
among
people
who
have
read
the
Uniform
Code
of
Military
Justice)
has
now
collapsed
in
humiliating
fashion.
A
grand
jury
handed
Jeanine
Pirro
a
no-bill
so
emphatic
it
didn’t
even
produce
a
single
vote
to
indict.
That’s…
not
a
close
call.

And
thanks
to

new
reporting

from
The
New
Republic,
we
now
know
the
lawyering
behind
this
embarrassment
was
even
worse
than
it
looked
from
the
outside.

During
the
investigation,
prosecutors
reached
out
to
counsel
for
the
lawmakers
as
part
of
follow-up
inquiries

a
normal
enough
step.
But
when
prosecutors
contacted
Elissa
Slotkin’s
attorney,
famed
former
federal
prosecutor
Preet
Bharara,
something
went
very
wrong,
very
quickly.

According
to
sources,
Bharara
asked
what
should
be
the
most
basic
question
in
any
criminal
case:

what
law
did
my
client
allegedly
break?

Silence.

“What
is
the
theory
of
criminal
liability?”
is
the
question
that
was
posed
to
the
prosecutors,
one
source
said,
adding
that
“no
answer
was
forthcoming.”

So
defense
lawyers
weren’t
shocked
that
Pirro
couldn’t
secure
an
indictment….
they
were
shocked
the
DOJ
tried
to
get
one
at
all.
Prosecutors
couldn’t
point
defense
lawyers
to
a
specific
statute,
yet
they
still
marched
into
a
grand
jury
room
and
asked
citizens
to
indict
members
of
Congress
anyway.
To
date,
it
has
still
not
been
definitively
confirmed
what
statute
the
government
relied
on
in
that
failed
effort.

Identifying
a
specific
law
that
someone
allegedly
broke
is
not
some
fussy
technicality
as
much
as
the

foundational

requirement
of
a
criminal
prosecution.
That
attorneys
in
Pirro’s
office
were
caught
flat-footed
on
this
point
speaks
volumes,
and
not
flattering
ones.

Bharara
memorialized
the
encounter
in
a
letter
to
Pirro
earlier
this
month,
writing,
“The
prosecutors
we
spoke
to
in
your
office,
though
courteous,
could
not
articulate
any
theory
of
possible
criminal
liability
or
any
statute
that
they
were
relying
on
or
that
could
have
been
violated.”

That
the
DOJ
barreled
forward
anyway
gives
this
the
unmistakable
sheen
of
a
political
witch
hunt
rather
than
anything
resembling
the
pursuit
of
justice.

The
optics
don’t
improve
when
you
zoom
out.
Pirro
reportedly
staffed
the
case
with

two
outside
prosecutors
with
slim
if
any
federal
experience
,
one
of
whom
was
running
an
active
dance
photography
studio
at
the
same
time!
Everyone
deserves
a
career
change,
but
this
is
not
the
résumé
you
expect
behind
the
prosecution
of
sitting
members
of
Congress.

As
law
professor
Stephen
Vladeck
put
it,
“It
seems
at
least
to
suggest
that
the
prosecutors
were
not
the
ones
calling
the
shots,
and
that
what
they
thought
they
were
doing
got
run
over
by
their
bosses.
DOJ’s
credibility
depends
on
public
faith
that
prosecutions
are
brought
when
the
law
justifies
it,
not
when
the
political
leadership
of
the
administration
demands
it.”

That
credibility
is
now
in
tatters.
A
DOJ
that
can’t
identify
a
statute,
can’t
persuade
a
single
grand
juror,
and
can’t
explain
why
it
pressed
forward
anyway
can’t
call
itself
law
enforcement
as
opposed
to
performative
politics
set
at
the
courthouse.




Kathryn
Rubino
is
a
Senior
Editor
at
Above
the
Law,
host
of

The
Jabot
podcast
,
and
co-host
of

Thinking
Like
A
Lawyer
.
AtL
tipsters
are
the
best,
so
please
connect
with
her.
Feel
free
to
email

her

with
any
tips,
questions,
or
comments
and
follow
her
on
Twitter

@Kathryn1
 or
Mastodon

@[email protected].

Deposition Simulator Uses AI To Bring Training Opportunities To Young Lawyers – Above the Law

It
sometimes
feels
as
though
the
legal
profession’s
primary
engagement
with
AI
so
far
involves
lawyers
citing
fake
cases
generated
by
ChatGPT
and
getting
hauled
before
judges
to
explain
themselves.
And
with
global
legal
hallucination
incidents

closing
in
on
1000
cases
,
that’s
an
understandable
reaction.
Everyone
gets
a
good
laugh
and
the
always
vocal
Luddite
contingent
of
the
bar
feels
vindicated.

But
focusing
on
AI’s
limitations
as
a
consistently
reliable
brief
writer
is
like
rejecting
a
grill
because
you
don’t
like
hot
dogs.
Which
isn’t
a
knock
on
what
AI

can

bring
as
a
research
and
drafting
tool

or
hot
dogs
for
that
matter

but
the
technology
can
do
other
things!
Some
of
which
carry
obvious
value
for
lawyers
and
aren’t
impacted
by
hallucinations
at
all.

No
one
wants
to
turn
over
a
“live
ammunition”
deposition
to
a
neophyte
lawyer.
But
how
does
a
neophyte
learn
to
take
a
deposition
without
experience.
Intensive
practical
simulations
with
copious
levels
of
senior
attorney
feedback
provide
the
best

and,
historically,
only

training
model.
Maybe
the
firm
puts
it
together
on-site.
Maybe
they
send
attorneys
to
an
off-site
camp
like
NITA.
Meanwhile,
law
students
should
consider

opportunities
like
the
ML
Advocacy
Academy

for
these
experiences.
That
said,
litigation
skills
aren’t
perfected
in
a
week
and
constantly
iterating
training
sessions
with
hired
actors
and
partners
devoting
the
energy
and
(lost
billable)
time
to
mentoring
and
feedback
presents
a
logistical
challenge
for
firms.

One
that
AI
can
now
address.


AltaClaro

has
taken
its
experience
building
training
tools
for
lawyers,
and
the
captioning
and
transcription
talents
of

Verbit.ai

and
launched

DepoSim
,
harnessing
AI
to
construct
a
deposition
simulator.
Artificial
intelligence
takes
on
the
roles
of
deponent,
opposing
counsel,
and
court
reporter
in
a
vetted
simulation.
Armed
with
a
closed
universe
of
documentary
evidence,
users
can
ask
questions,
mark
exhibits,
and
navigate
objections
while
the
AI
composes
a
transcript
for
posterity.
When
the
exercise
ends,
the
system
generates
a
detailed,
rubric-based
feedback
report
scoring
the
user
across
multiple
deposition
skills.
If
the
user
wants
to
run
through
the
exercise
again
to
polish
up
their
mistakes,
there’s
no
scheduling
headaches
bringing
court
reporters
and
actors
and
other
lawyers
into
the
office

they
can
just
fire
up
the
system
again.

Users
can
even
tweak
the
system
to
alter
the
deponent’s
evasiveness
and
the
defending
attorney’s
obstreperousness
to
practice
different
skills
or
just
to
keep
the
challenge
fresh.

AltaClaro
and
Verbit
gave
me
a
hands-on
demonstration
last
week.
I
haven’t
dealt
with
a
witness
in
years
at
this
point,
but
sitting
down
with
DepoSim
felt
like
a
blast
from
the
past.
With
the
advances
in
technology
over
the
past
couple
years,
the
AI
witness
responds
quickly
and
realistically
and
the
opposing
counsel
threw
in
suitably
annoying
objections.
Anyone
committed
to
their
kneejerk
rejection
of
technology
will
spot
the
cracks
that
separate
the
exercise
from
a
flesh
and
blood
simulation,
but
none
of
these
undermine
its
prowess
at
testing
necessary
skills.
If
anything,
the
way
the
robot
can
stick
to
the
prep
and
never
get
tired
only
increases
the
challenge.
That
can
only
be
a
good
thing.

Sadly,
the
technology
fails
to
capture
that
Texas
deposition
energy.

Maybe
the
next
update.

And
don’t
overlook
the
value
of
a
computer
simulation
for
experienced
attorneys.
A
Biglaw
litigator
can
go
a
fair
amount
of
time
between
taking
depositions.
Despite
a
little
rust
setting
in,
a
senior
partner
isn’t
likely
to
schedule
on-site
training
for
themselves
or
book
a
trip
to
an
organization’s
boot
camp.
This
tool
gives
them
a
low-impact
option
to
brush
up
on
their
skills
before
the
real
thing.

From
my
experience,
I
got
dinged
on
professionalism
because
I
couldn’t
stop
snarking
at
the
AI
witness:



Joe:
Is
this
your
signature
on
the
document?



Witness
AI:
I
will
have
to
look
through
the
document
to
find
my
signature.



Joe:
My
guess
is
it’s
on
the
last
page,
genius.

Honestly,
fair
criticism
from
the
scoring
rubric.
Though
in
a
real
deposition,
my
approach
would’ve
totally
rattled
the
witness.
Or
gotten
me
sanctioned.

AltaClaro
and
Verbit
ran
a
beta
Early
Adopter
Program
with
six
firms

Orrick,
K&L
Gates,
McDermott,
Littler,
Taft,
and
Brownstein
Hyatt

that
generated
over
160
hours
of
testing.
The
numbers
from
that
pilot
are
pretty
telling:
97
percent
of
participants
strongly
agreed
the
tool
is
valuable
for
litigation
training
and
94
percent
said
they’d
use
it
again.

One
participating
partner
called
the
experience
“frighteningly
realistic,”
adding
that
the
feedback
was
“better
feedback
than
I’ve
received
from
attorneys.
Both
more
comprehensive
and
more
specific.”
Another
self-described
“confirmed
AI
hater”
among
the
associates
admitted
they
could
see
themselves
using
it
long-term.

At
launch,
the
product
only
provides
a
straightforward
civil
deposition,
but
at
my
demonstration,
they
explained
that
they
understand
the
potential
to
expand
the
available
scenarios.
As
a
technology,
there’s
no
reason
this
couldn’t
be
adapted
for
unique
situations
like
a
30(b)(6)
or
an
expert
witness.
With
a
little
tweaking,
it
could
provide
trial
examination
or
even
oral
argument
practice.

This
is
what
the
confirmed
AI
haters
miss.
For
every
task
that
AI
risks
disastrously
messing
up
without
focused
human
oversight,
there
are
tasks
that
AI
can
tackle
consistently
well…
and
more
efficiently.
While
the
greater
AI
industry

and
its
supporting
VC
culture

love
talking
about
replacing
white
collar
workers,
they
don’t
need
to
build
robot
lawyers
to
provide
value.
Crafting
a
tool
that
allows
lawyers
to
easily
train
for
depositions
on
their
own
schedule
is
a
perfect
use
case.

And
no
worrying
about
hallucinations.




HeadshotJoe
Patrice
 is
a
senior
editor
at
Above
the
Law
and
co-host
of

Thinking
Like
A
Lawyer
.
Feel
free
to email
any
tips,
questions,
or
comments.
Follow
him
on Twitter or

Bluesky

if
you’re
interested
in
law,
politics,
and
a
healthy
dose
of
college
sports
news.
Joe
also
serves
as
a

Managing
Director
at
RPN
Executive
Search
.

Agentic AI Is Forcing Contracts To Govern Continuous Behavior – Above the Law

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.

Zimbabwe Vigil Diary 14th February 2026


18.2.2026


17:56

Another
virtual
Vigil
today
continues
our
protest
against
the
human
rights
abuse
and
lack
of
democracy
in
Zimbabwe. 



https://www.flickr.com/photos/zimbabwevigil/55099167610/sizes/m/

Our
virtual
Vigil
activist
today
were
Blessing
Tariro
Makeyi,
Felicia
W
Munemo
and
Felicity
W
Munemo.
They
carried
placards
expressing
their
dissatisfaction
with
ZANU
PF,
Zimbabwe’s
ruling
regime.  Photos:https://www.flickr.com/photos/zimbabwevigil/albums/72177720332040957/.

For
Vigil
pictures
check: http://www.flickr.com/photos/zimbabwevigil/.
Please
note:
Vigil
photos
can
only
be
downloaded
from
our
Flickr
website.


Events
and
Notices:  


  • Next
    Vigil
    meeting
    outside
    the
    Zimbabwe
    Embassy. 
    Saturday
    21st February
    2026
    from
    2

    5
    pm.
    We
    meet
    on
    the
    first
    and
    third
    Saturdays
    of
    every
    month.
    On
    other
    Saturdays
    the
    virtual
    Vigil
    will
    run.

  • The
    Restoration
    of
    Human
    Rights
    in
    Zimbabwe
    (ROHR)
     is
    the
    Vigil’s
    partner
    organisation
    based
    in
    Zimbabwe.
    ROHR
    grew
    out
    of
    the
    need
    for
    the
    Vigil
    to
    have
    an
    organisation
    on
    the
    ground
    in
    Zimbabwe
    which
    reflected
    the
    Vigil’s
    mission
    statement
    in
    a
    practical
    way.
    ROHR
    in
    the
    UK
    actively
    fundraises
    through
    membership
    subscriptions,
    events,
    sales
    etc
    to
    support
    the
    activities
    of
    ROHR
    in
    Zimbabwe.

  • The
    Vigil’s
    book
    ‘Zimbabwe
    Emergency’
     is
    based
    on
    our
    weekly
    diaries.
    It
    records
    how
    events
    in
    Zimbabwe
    have
    unfolded
    as
    seen
    by
    the
    diaspora
    in
    the
    UK.
    It
    chronicles
    the
    economic
    disintegration,
    violence,
    growing
    oppression
    and
    political
    manoeuvring

    and
    the
    tragic
    human
    cost
    involved. It
    is
    available
    at
    the
    Vigil.
    All
    proceeds
    go
    to
    the
    Vigil
    and
    our
    sister
    organisation
    the
    Restoration
    of
    Human
    Rights
    in
    Zimbabwe’s
    work
    in
    Zimbabwe.
    The
    book
    is
    also
    available
    from
    Amazon.


  • Facebook
    pages:   

  • Vigil : 
    https ://www.facebook.com/zimbabwevigil
  • ROHR: https://www.facebook.com/Restoration-of-Human-Rights-ROHR-Zimbabwe-International-370825706588551/
  • ZAF: https://www.facebook.com/pages/Zimbabwe-Action-Forum-ZAF/490257051027515

The
Vigil,
outside
the
Zimbabwe
Embassy,
429
Strand,
London
meets
regularly
on
Saturdays
from
14.00
to
17.00
to
protest
against
gross
violations
of
human
rights
in
Zimbabwe.
The
Vigil
which started
in
October
2002
will
continue
until
internationally-monitored,
free
and
fair
elections
are
held
in
Zimbabwe.

Post
published
in:

Featured

District Court Upholds Decision That Restaurants Can Coast On Vibes – Above the Law

There
are

two
prominent
paths

for
explaining
why
words
mean
what
they
do.
There
are
prescriptive
paths
that
bind
words
to
what
they’ve
meant
historically,
and
descriptive
paths
that
say
words
gain
meaning
based
on
how
they’re
used
by
real
people.
I
tend
to
play
at
being
a
descriptive
definer

rather
that
than
the
alternative
of
being
a
language
hall
monitor

but
there
are
some
limiting
words
that
really
bring
out
the
grammar
alt-right
in
me.

Take
literally.
Not
literally,
you
can’t
take
literally

literally
,
but
virtually.
At
some
dark
moment
in
our
collective
history
the
word
literally,
generally
understood
as
a
decidedly
non-figurative
“that
thing
right
there”
sort
of
word,
became
its
own
foil.
Literally
literally
came
to
mean
something
closer
to
figuratively
or
virtually,
because
that’s
how

idiots

young
adults
on
the
cutting
edge
of
culture
used
the
word.
The
prescriptivist
in
me
would
jump
out
and
say
that’s
not
what
literally

literally

means,
just
go
look
in
a
dictionary!
Alas,
Marriam-Webster
has
given
in
to
the
decadence
and

accepts
literal’s
literal
and
virtual
meaning
.
Around
this
point
you
might
be
thinking
to
yourself
“Chris,
what
the
hell
does
this
have
to
do
with
the
law?”
My
answer:
it
literally
has
to
do
with
chicken
wings.

NYT

has
coverage:

In
an
opinion
heavy
on
chicken
puns,
a
district
court
judge
ruled
on
Tuesday
that
the
boneless
wings
at
Buffalo
Wild
Wings
could
indeed
be
called
wings.

The
order,
in
a
lawsuit
filed
by
a
Chicago
man
in
2023,
was
dripping
with
skepticism
at
the
claims
that
the
chain
was
misleading
consumers
about
its
boneless
wings.

Judge
John
J.
Tharp
Jr.,
of
the
United
States
District
Court
for
the
Northern
District
of
Illinois,
dismissed
claim
by
Aimen
Halim,
saying
it
“has
no
meat
on
its
bones.”

The
judge
upheld
Buffalo
Wild
Wings’
argument
that
the
“wing”
in
the
name
doesn’t
refer
to
the
anatomical
wing
of
a
chicken,
but
rather
the
style
of
cooking
the
dish.
Forgive
my
french,
but
that’s
fucking
stupid.
Grinding
something
up,
maybe
battering
it,
then
deep
frying
it
isn’t
“winging”
it,
and
we
need
to
stop
pretending
like
it
is.
Or
do
you
mean
to
tell
me
that
McDonalds
can
rebrand
their
hash
browns
as
“Potato
Wings”
and
no
one
will
bat
an
eye?
If
you
ever
tell
some
Nonna
that
the
Arancini
she’s
making
legally
qualify
as
risotto
wings,
you
should
fully
expect
a
video
of
her
beating
you
with
a
spoon
to
end
up
on
the
Italian
equivalent
of

World
Star
Hip
Hop
.

The
judge
makes
the
analogous
argument
that
a
patron
ordering
Cauliflower
wings
(an
item
offered
on
the
menu),
wouldn’t
think
that
the
dish
has
bones
in
it.
First,
the
example
is
very
apples
to
oranges
considering
cauliflowers
don’t
have
bones.
Second,
this
failure
in
reasoning
has
to
involve
ignoring
the
reasonable
person
standard.
A
reasonable
person
wouldn’t
think
“Oh,
the
wing
here
refers
to
the
cooking
style”,
they’d
think
“This
place
is
about
to
up
charge
me
on
cauliflower
nuggets.
I
deserve
this.
Stupid
Stupid
Stupid!”
Because
that’s
what
cauliflower
“wings”
and
boneless
“wings”
are

glorified
nuggets.
It
is
a
shame
that
we
can’t
even
rely
on
judges
to
speak
truth
to
Big
Chicken™.

There
are
many
pressing
issues
that
need
to
go
to
the
Supreme
Court.
This
is
one
of
them.

A
case
came
out
of
Ohio
where
a
man
was
injured
because
he
ate
an
order
of
Boneless
wings
that
he
reasonably
presumed
didn’t
have
bones
in
them.
The
state’s
Supreme
Court
decided

that
it
was
entirely
reasonable
that
boneless
wings
could
have
bones
in
them
.
That
is
literally
beyond
all
reason.
We
have
courts
telling
us
both
the
“Boneless”
and
the
“Wings”
in
boneless
wings
are
just
vibe
checks?
Remember
when
the
energy
drink
company
was
successfully
sued
for
millions
over

falsely
advertising
that
Red
Bull
gives
you
wings
in
a
New
York
court
?
We
used
to
be
a
proper
country.
Now,
more
than
ever,
we
need
to
Make
Wings
Great
A…damn
it,
the
grammar
alt-right
in
me
almost
seeped
out
again.


Boneless
Wings
Are
Still
Wings,
Judge
Rules

[New
York
Times]


Earlier
:

‘Boneless’
Wings
Can
Have
Bones,
Declare
Committed
Textualists



Chris
Williams
became
a
social
media
manager
and
assistant
editor
for
Above
the
Law
in
June
2021.
Prior
to
joining
the
staff,
he
moonlighted
as
a
minor
Memelord™
in
the
Facebook
group Law
School
Memes
for
Edgy
T14s
.
 He
endured
Missouri
long
enough
to
graduate
from
Washington
University
in
St.
Louis
School
of
Law.
He
is
a
former
boatbuilder
who
is
learning
to
swim, is
interested
in
critical
race
theory,
philosophy,
and
humor,
and
has
a
love
for
cycling
that
occasionally
annoys
his
peers.
You
can
reach
him
by
email
at [email protected]
and
by
tweet
at @WritesForRent.

Could Artificial Intelligence Bankrupt Social Security? – Above the Law

As
artificial
intelligence
becomes
more
mainstream,
many
people
are
using
it
to
do
things
that
they
would
normally
hire
someone
else
to
do.
AI
is
helping
people
conduct
research,
analyze
options,
and
even
create
artistic
works.
While
this
makes
certain
things
easier
and
more
efficient,
it
means
that
some
people
will
get
reduced
work
or
lose
their
livelihoods.
For
governments
that
have
to
look
at
the
big
picture,
this
means
more
unemployment
which
translates
to
less
tax
revenue,
with
an
emphasis
on
social
security
funding.
Could
AI
pose
a
serious
threat
to
future
social
security
and
Medicare
funding?
If
so,
what
can
be
done
about
it?

Many
people
are
concerned
AI
will
take
over
white
collar
jobs
that
humans
do
now.
While
the
technology
is
not
perfect

which
some
lawyers
have

learned
the
hard
way


it
is
improving.
The
worry
was
so
bad
that
in
2023,
Hollywood
writers
and
actors

went
on
strike
.
to
prevent
studios
from
using
AI
for
drafting
stories
and
using
actors’
likenesses.

Employees
and
business
owners
pay
into
social
security
and
Medicare.
Employees
do
so
through
paycheck
withholdings
and
business
owners
pay
self-employment
taxes
on
their
net
business
profit.
While
this
tax
is
pretty
substantial

7.65%
for
employees
and
15.3%
for
self-employed
business
owners,
there
is
a
cap
on
the
income
that
is
subject
to
the
tax.
For
2026,
the
income
cap
is
$184,500
so
any
income
above
that
is
not
subject
to
social
security
taxes
although
it
is
subject
to
Medicare
taxes.

If
jobs
are
replaced
by
AI,
then
the
government
will
lose
these
social
security
tax
and
Medicare
tax
payments.
The
solvency
of
the
social
security
trust
fund
has
been
a
concern
in
the
past
few
decades
and,
based
on
projections,
the
trust
fund
is
on
track
to
be

insolvent
in
2032
.
If
insolvency
is
certain,
then
the
government
will
have
to
make
tough
decisions
to
save
the
social
security
trust
fund,
either
by
cutting
benefits,
raising
the
eligibility
age,
or
raising
taxes.

Skeptics
will
note
that
technological
disruption
is
nothing
new
and
despite
the
doomsday
talk,
the
economy
will
adapt.
Most
will
cite
complex
machines
replacing
most
assembly-line
workers
in
the
20th
century.
Or
e-commerce
disrupting
the
Main
Street
brick-and-mortar
stores.

Several
proposals
have
been
made
to
address
this
potential
problem.
One
is
to
impose
additional
taxes
on
AI
companies
and
businesses
that
use
AI
to
compensate
for
the
revenue
lost
due
to
increased
unemployment.
Imposing
this
tax
on
small
businesses
will
be
unpopular
and
the
tax
could
be
passed
on
to
the
customer
if
economic
conditions
allow
it.
Also,
detecting
whether
a
business
is
using
AI
could
be
difficult.

Another
idea
getting
a
lot
of
attention
lately
is
universal
basic
income
(UBI)
where
everyone
gets
a
regular
cash
payment
whether
they
are
working
or
not.
It
could
act
as
a
safety
net
which
will
let
people
cover
basic
living
expenses
even
if
automation
wipes
out
their
job.
But
 UBI
could
disincentivize
people
to
work
and
mouth
off
whatever
nonsense
is
in
their
mind
without
fear
of
financial
consequences.
Considering
the
very
large
cost
and
the
potential
negative
incentives,
UBI
is
likely
to
be
used
as
a
last
resort
to
prevent
bigger
societal
problems.

Probably
the
easiest
solution
is
to
change
the
way
how
social
security
is
funded.
In
short,
enact
new
taxes
or
raise
existing
ones.
Or
impose
a
new
tariff.

The
final
and
possibly
the
most
sensible
solution
is
to
wait
and
see.
The
proliferation
of
AI
could
result
in
jobs
that
were
previously
not
available.
Granted,
most
of
the
new
jobs
will
involve

servicing
and
maintaining

the
AI
infrastructure.
But
jobs
involving
other
disciplines
and
skill
sets
could
be
available.
For
example,
philosophers,
ethicists,
and
religious
leaders
could
be
hired
to
help
with
the
AI’s
moral
programming.

AI
is
transforming
work
in
ways
we
haven’t
seen
before,
and
it
has
the
potential
to
strain
social
security
systems
by
potentially
shrinking
the
number
of
contributors.
But
if
we
get
ahead
of
it

with
things
like
exploring
UBI,
updating
funding
models,
and
sparking
new
kinds
of
jobs

we
can
make
sure
the
upsides
of
AI
benefit
everyone,
not
just
a
few.
The
trick
is
to
embrace
the
tech
while
protecting
the
people
who
get
caught
in
the
transition.




Steven
Chung
is
a
tax
attorney
in
Los
Angeles,
California.
He
helps
people
with
basic
tax
planning
and
resolve
tax
disputes.
He
is
also
sympathetic
to
people
with
large
student
loans.
He
can
be
reached
via
email
at [email protected].
Or
you
can
connect
with
him
on
Twitter
(
@stevenchung)
and
connect
with
him
on 
LinkedIn.

NYU Langone Health: We’re Close to Clinical AI with No Human in the Loop – MedCity News

The
medical
community’s
comfort
with
deploying
AI
in
clinical
care
is
rapidly
evolving

because
it
has
to,
according
to
health
informatics
leaders
at

NYU
Langone
Health
.

They
said
that
AI
agents
will
likely
be
performing
clinical
tasks
completely
on
their
own

with
no
human
in
the
loop

in
the
near
future.
Take
blood
pressure
medication
titration
for
example.

“We
already
have
an
AI
assistant
we
built
for
our
home
blood
pressure
monitoring
program

that
right
now
still
has
a
human
in
loop
for
doing
the
titrations
of
the
meds.
Five
years
from
now,
we’re
not
going
to
have
a
human
doing
those
titrations,”
said
Dr.
Devin
Mann,
senior
director
for
informatics
innovation
at
NYU’s
Center
for
Healthcare
Innovation
and
Delivery
Science.

Dr.
Paul
Testa,
NYU’s
chief
health
informatics
officer,
agreed,
saying
“there’s
no
reason
to.”

In
his
eyes,
hypertension
management
is
a
clear
example
of
where
full
automation
makes
sense.
Under
current
care
models,
getting
a
patient
to
their
target
blood
pressure
can
take
six
to
nine
months,
largely
because
of
slow,
incremental
medication
adjustments
that
require
repeated
interactions
with
the
health
system
and
its
human
clinicians.

But
those
steps,
Dr.
Testa
said,
follow
well-established
clinical
guidelines
and
rely
on
objective
home
blood
pressure
data

making
them
well
suited
for
AI-powered
decision
making.

Full
automation
could
also
significantly
improve
a
patient’s
“time
to
therapy,”
Dr.
Testa
added.
Patients
typically
experience
a
delay
between
diagnosis
and
effective
treatment,
and
this
period
is
often
unnecessarily
long

not
because
clinicians
don’t
know
what
to
do,
but
because
the
healthcare
system
moves
slowly,
he
explained.

AI
could
shrink
that
window
by
automating
routine
steps
like
data
review,
guideline-based
decisions
and
patient
follow-ups
to
reach
the
right
treatment
faster,
Dr.
Testa
stated.

He
also
pointed
out
that
there
are
some
clinical
workflows
that
no
longer
require
human
interpretation,
such
as
diabetic
retinopathy
screening.
The
rate
of
screening
for
this
disease
remains
low
nationwide,
hovering
around
15%

but
with
full
automation,
Dr.
Testa
argued
that
those
rates
could
approach
100%.

Screening
rates
remain
low
because
the
process
still
depends
on
a
series
of
manual
steps

ordering
the
test,
interpreting
results
and
placing
referrals

each
of
which
introduces
friction
and
opportunities
for
delay.
Fully
automated
screening
and
referral
could
eliminate
those
handoffs
and
ensure
eligible
patients
are
identified
and
routed
to
care
consistently.

Dr.
Mann
emphasized
that
this
push
for
full
automation
isn’t
just
about
efficiency
or
speed

it’s
about
the
fact
that
the
workforce
to
deliver
guideline-recommended
care
simply
doesn’t
exist.

Clinical
guidelines
often
call
for
far
more
lifestyle
counseling
and
ongoing
support
than
health
systems
can
realistically
provide,
he
noted.
In
areas
like
nutrition
and
chronic
disease
management,
the
number
of
clinicians
required
would
be
orders
of
magnitude
higher
than
the
workforce
that’s
actually
out
there.

“There’s
a
missing
workforce
that
[AI]
will
just
step
into.
We’re
never
going
to
hire
50,000
dietitians.
They
don’t
even
exist,
let
alone
the
fact
that
the
reimbursement
is
not
really
there
for
them.
So
[AI]
will,
I
think,
create
roles
that
we
always
wanted
to
be
in
there
with
humans,
but
the
humans
just
aren’t
there,”
Dr.
Mann
said.

He
also
pointed
out
that
human
effort
should
shift
to
relationship-based
and
complex
care.
As
routine
work
is
automated,
clinicians
could
spend
more
time
on
patient
education,
shared
decision
making
and
edge
cases

areas
where
persuasion,
trust
and
nuance
still
matter
and
where
AI
struggles.

Taken
together,
Drs.
Mann
and
Testa
see
a
future
in
which
fully
autonomous
AI
is
not
a
fringe
experiment,
but
a
practical
response
to
the
realities
of
modern
healthcare.


Photo:
ThongSam,
Getty
Images

California AG Says Paul, Weiss Sold Out The Profession – Above the Law

(Photo
by
Mark
Wilson/Getty
Images)

California
Attorney
General
Rob
Bonta
isn’t
going
to
pretend
the
Biglaw
deals
with
Trump
are
anything
but
terrible.

In
a
recent
sitdown

with
Bloomberg
News
,
Bonta
took
direct
aim
at
the

nine
Biglaw
firms

that
struck
deals
with
the
Trump
administration

arrangements
that
traded
Trump-approved
pro
bono
work
for
relief
from
executive
orders
that
federal
judges
have
repeatedly
found

unconstitutional
.
Or,
in
some
cases,
relief
from
nothing
more
than
the

threat

of
an
executive
order.
Which
somehow
made
the
capitulation
worse,
not
better.

This
was,
in
Bonta’s
words,
cowardice.

“It
was
weak,
it
was
cowardly,
it
was
craven
for
Paul
Weiss
to
do
it
at
the
beginning
and
sort
of
send
a
signal
to
the
other
firms
that
this
is
what
we’re
doing,”
Bonta
said.
“We’re
doing
deals,
we’re
caving,
we’re
bending
the
knee.”

He
wasn’t
subtle
about
the
firm
he
sees
as
Patient
Zero:

Paul,
Weiss
,
the
first
Biglaw
shop
to
decide
that
fighting
an
unlawful
executive
order
was
just
too
stressful.
Better
to
offer
up

pro
bono
payola
,
that
is
free
legal
services
for
conservative
clients
and
causes
favored
by
Donald
Trump,
in
exchange
for
regulatory
peace.

And
once
Paul,
Weiss
blinked,
others
followed.
Because
nothing
says
“rule
of
law”
like
letting
the
loudest
bully
in
the
room
set
the
terms.

Bonta,
notably,
is
not
speaking
from
some
abstract,
academic
perch.
California
has
filed
roughly
50
lawsuits
against
the
Trump
administration,
and
the
state
legislature
handed
Bonta
$25
million
last
year
specifically
to
keep
suing.
While
Biglaw
firms
were
tripping
over
themselves
to
make
deals,
California
was
doing
what
lawyers
are
theoretically
supposed
to
do
when
faced
with
unconstitutional
government
action:
litigate.

“We
have
the
luxury
of
being
able
to
do
the
work
ourselves,
because
we’re
so
well
resourced
and
so
large,”
Bonta
said.

Despite
the
reputational
damage
Paul,
Weiss
has
absorbed
since
the
deal
became
public,
the
firm
doesn’t
appear
to
be
losing
much
sleep
over
it.
The
firm
recently
went
through
a
leadership
shakeup,
with
longtime
chair
Brad
Karp

stepping
aside
earlier
this
month

amid
scrutiny
over
his
connections
to
Jeffrey
Epstein.
His
replacement,
Scott
Barshay,
a

corporate
partner
,
was
reportedly
a
major
internal
proponent
of
the
Trump
deal.

That
tells
you
a
lot
about
how
this
decision
is
being
framed
internally
as
a
savvy
business
move
designed
to
protect
a
client
list,
not
the
constitution.

Bonta’s
critique
lands
because
it
exposes
the
lie
at
the
heart
of
Biglaw’s
self-image.
When
the
moment
came
to
defend
the
profession,
the
constitution,
or
even
their
own
institutional
independence,
too
many
firms
chose
instead
to
negotiate
with
the
threat.




Kathryn
Rubino
is
a
Senior
Editor
at
Above
the
Law,
host
of

The
Jabot
podcast
,
and
co-host
of

Thinking
Like
A
Lawyer
.
AtL
tipsters
are
the
best,
so
please
connect
with
her.
Feel
free
to
email

her

with
any
tips,
questions,
or
comments
and
follow
her
on
Twitter

@Kathryn1
 or
Mastodon

@[email protected].

Morning Docket: 02.18.26 – Above the Law

*
Federal
judges
granted
limited
freedom
to
respond
to
“illegitimate
forms
of
criticism
and
attacks.”
[ABA
Journal
]

*
Law
firms
continue
to
drive
the
commercial
real
estate
market,
with
Linklaters
committing
to
expand
office
by
50
percent.
Maybe
Biglaw
isn’t
planning
to
lay
everyone
off
and
switch
to
AI
after
all.
[New
York
Law
Journal
]

*
Trump
administration
sued
over
removing
Pride
flag
from
Stonewall
monument
as
if
it’s
a
national
monument
for
its
drink
specials.
[NY
Times
]

*
Justice
Department
isn’t
acting
like
it
used
to
say
Criminal
Defense
Lawyers
For
Understatement.
[NPR]

*
CFTC
asserts
its
regulatory
authority
to
affirmatively
shield
websites
skirting
gambling
laws
from
meaningful
regulation.
The
president’s
son
is
deeply
invested
in
Polymarket…
probably
just
a
coincidence.
[CNBC]

*
Judge
declares
mistrial
over
lawyer’s
attire.
[Guardian]

*
Harvey
signs

Suits

star
whose
character
inspired
its
name
as
spokesperson.
[LawSites]