Over
$55
million
worth
of
meritorious
civil
claims
go
unfiled
annually,
particularly
in
working-class
communities,
because
over
64%
of
prospective
plaintiffs’
calls
to
law
firms
are
ignored,
says
legal
AI
startup
AlphaLit.
The
reason
firms
ignore
those
calls
is
that
they
cannot
financially
justify
vetting
all
those
small
cases.
“You
might
need
to
have
100
conversations
to
take
on
five
or
six
cases,”
says
AlphaLit
founder
and
CEO
Anand
Upadhye.
“That
doesn’t
pencil.”
Aiming
to
use
AI
to
solve
this
problem
for
smaller
cases
and
smaller
law
firms,
AlphaLit
said
today
it
has
raised
a
$3.2
million
seed
round.
Participants
in
the
round
were
venture
capital
firms
Lux
Capital,
Slow
Ventures
and
Bright
Ventures,
alongside
several
angel
investors,
including
Ken
Cornick,
the
cofounder
of
CLEAR,
and
Jason
Boehmig,
executive
chair
and
cofounder
of
Ironclad.
They
join
previous
investors
including
Sequoia
Scout
Fund,
Base
Ventures,
and
Casetext
co-founder
Jake
Heller.
Scoring
Smaller
Cases
AlphaLit
tackles
this
problem
through
a
combination
of
voice
AI
and
algorithmic
case
scoring.
When
prospective
plaintiffs
engage
with
AlphaLit’s
voice
AI
platform,
it
interviews
them
to
understand
their
issue,
evaluates
their
evidence
against
legal
frameworks,
and
then
drafts
a
case
memo.
Using
its
proprietary
algorithms,
the
company
assigns
each
case
an
AlphaLit
score,
which
is
based
on
liability,
evidence
quality,
and
potential
damages.
If
the
score
reaches
a
certain
threshold,
AlphaLit
engages
with
the
plaintiff
and
sends
the
case
to
an
attorney
in
its
network.
Already,
the
company
has
created
some
80
cases
through
its
platform.
It
is
operating
only
in
California
for
now,
and
only
for
employment-related
cases,
but
it
plans
to
expand
both
the
types
of
cases
it
handles
and
the
jurisdictions
it
covers.
“Unless
your
case
is
worth
millions
or
you
are
well-connected,
it’s
almost
impossible
to
get
a
lawyer
on
the
phone,”
said
Upadhye.
“By
using
AI
to
handle
the
heavy
lifting
of
intake
and
fact-gathering,
we
are
lowering
the
cost
of
pre-litigation
and
opening
legal
access
for
millions
of
Americans.”
Solving
the
Small
Case
Problem
For
attorneys
in
smaller
law
firms,
AlphaLit
helps
them
get
over
three
major
obstacles
that
make
it
too
expensive
for
them
to
accept
smaller
cases,
Upadhye
told
me
in
an
interview:
-
Marketing
and
advertising.
Marketing
can
be
complicated
and
costly,
especially
for
smaller
firms
that
lack
marketing
staff.
AlphaLit
does
the
marketing
for
them. -
Intake.
Intake
can
be
time-consuming
and
difficult
to
schedule,
especially
for
plaintiffs
who
work
during
the
day.
The
actual
intake
process
often
requires
specialized
staff
and
specialized
expertise.
AlphaLit’s
voice
AI
platform
handles
all
the
intake
and
delivers
a
case
memo. -
Evaluation
and
underwriting.
Even
after
the
prior
steps,
an
attorney
needs
to
evaluate
the
case
and
decide
whether
to
take
it
on.
AlphaLit’s
algorithm
performs
that
evaluation,
only
referring
cases
that
meet
a
threshold.
In
a
statement
provided
by
AlphaLit,
Peter
Hebert,
partner
and
co-founder
at
Lux
Capital,
said:
“AlphaLit
is
attacking
a
massive,
latent
market.
The
legal
industry
has
struggled
with
the
economics
of
high-volume,
lower-dollar
claims.
Anand
and
his
team
have
built
the
technical
infrastructure
to
turn
these
overlooked
claims
into
a
viable,
scalable
asset
class.”
Before
founding
AlphaLit
in
2024,
Upadhye
was
director
of
investments
at
the
litigation
funding
company
Legalist.
Earlier,
he
was
vice
president
of
business
development
at
Casetext,
before
it
was
acquired
by
Thomson
Reuters.
“We
are
a
mission-driven
company,”
Upadhye
told
me,
aiming
to
make
a
meaningful
impact
on
the
number
of
people
who
are
protected
under
the
law.”