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Para Litify

At this spend, a wrong ranking costs more than the reporting ever would.

Export resolved cases from Litify, upload your intake sources, and rank a large acquisition budget on fee revenue.

Sin clave de API Nada que instalar en LitifyNada que instalar Sin tarjeta de créditoSin tarjeta

CloseRev reads a Litify export of resolved cases — the client's phone or email, the attorney fee and the resolution date — and matches it against the intake sources that produced them. Firms on Litify are typically running high-volume intake against a large advertising budget, which makes the difference between cost per signed case and cost per fee dollar worth a great deal of money. Fees with no traceable intake source are reported as Direct / Unknown.

Comprobado por última vez con la documentación del propio Litify el 24 de septiembre de 2026.

La brecha

Intake volume is measured hourly. Fee revenue per source is measured never.

Litify ve

Qué se vendió, a quién y por cuánto.

ninguna fila en común
Su cuenta publicitaria ve

El clic, la palabra clave, la llamada y cuánto costó cada uno.

El archivo

Qué debe contener la exportación.

Tres cosas sostienen la coincidencia: quién, cuánto y cuándo. Todo lo demás es opcional y solo cambia cómo se puede desglosar el informe.

  1. Necesaria

    Client phone or email

    Captured at intake, which in a high-volume operation is the most reliably recorded field you have.

  2. Necesaria

    Attorney fee

    The firm's fee on resolution. Gross settlement rewards cases with the largest liens rather than the best economics.

  3. Necesaria

    Resolution date

    When the case resolved. The intake date matters just as much and should come with it.

  4. Necesaria

    Case type and referral-out flag

    Practice area, and whether the case was referred out for a fee split. The second changes the economics completely.

Paso a paso

Cómo sacar el archivo de Litify.

Escrito para quien tiene Litify abierto en la pestaña de al lado. Los nombres de los informes varían según la edición, así que cada paso indica qué buscar.

  1. Export resolved cases

    One row per resolution with a client contact detail, the attorney fee and the date.

  2. Export intake records, including rejections

    At high volume, rejected intakes are a large and quantifiable cost that never appears in a cost-per-case figure.

  3. Flag referred-out cases

    A case referred to another firm for a share of the fee has entirely different economics and should not be averaged with cases the firm worked.

  4. Take two to three years

    Resolution lags intake by a year or more, and fee distributions need volume before they stabilise.

  5. Upload

    The join runs on the phone and the email, normalised, grouped by when the case was signed rather than when it resolved.

Lo que recibe

La página que Litify no puede mostrarle.

Ingresos por canal, el número de ventas detrás de cada cifra y un grupo honesto para las que nadie pudo rastrear. Cifras de ejemplo, del caso práctico de la página Lesiones personales, no de una cuenta de Litify.

Atribuidos a un canal$640,00064% de $1,000,000
Ventas coincidentes20 de 31solo alta confianza
Ticket medio$32,000por venta pagada
CanalProporciónVentasIngresos
Google Ads14$470,000
Meta Ads3$80,000
TV y radio3$90,000
Directo / Desconocido11$360,000

Las ventas sin coincidencia quedan en Directo / Desconocido. Nunca se reparten entre los canales pagados para que el total se vea mejor.

El argumento

Qué cambia cuando cada case y el anuncio comparten una fila.

At scale the cost of a wrong ranking compounds quietly

A firm spending heavily across television, search, social and lead vendors is making the same allocation decision every month, usually on cost per signed case.

If that metric is wrong by a factor of two for one channel — and in this practice area it routinely is — the error repeats every month until somebody measures fees instead.

The difference is not marginal: fee distributions in personal injury are dominated by a small number of cases, and which channel produces them is not correlated with which produces volume.

Measuring fees by intake source across several years is the only way to see it, and at this budget the measurement pays for itself many times over.

The report gives the median beside the total so a source carried by one exceptional case is visible as exactly that.

Rejected intakes are a large, measurable cost at volume

A firm screening thousands of enquiries a month is paying intake staff, technology and management to say no most of the time.

That cost is entirely absent from cost per signed case, which means the cheapest lead source can be the most expensive one the firm buys.

Exporting intakes including rejections puts a real cost per signed case beside the fee revenue, which is the comparison that changes vendor decisions.

It also identifies sources whose rejection reasons cluster — wrong jurisdiction, outside statute, no injury — which is usually fixable at the source rather than by cutting the channel.

Fixing it is cheaper than replacing the channel, and neither option is visible without the data.

Referred-out cases are a different business and must be separated

A case the firm refers to another for a share of the fee produces revenue with almost no cost of work, on a timeline the firm does not control.

Averaged with cases worked in-house it flatters whichever source produced it and tells you nothing about capacity or margin.

Splitting them gives two honest rankings, and most firms find the sources feeding each are different in a way that suggests a deliberate strategy rather than an accident.

Where the export flags the referral-out, this is automatic; where it does not, the fee pattern usually identifies them.

The distinction also matters for forecasting, because referred-out fees arrive on somebody else's schedule.

Group by signing date, not by resolution date

Fees arriving this quarter came from cases signed one to three years ago, so a report grouped by resolution date ranks marketing that is no longer running.

Grouping by intake date instead puts each cohort of signed cases against the spend that produced it, which is the only version a media buyer can act on.

It does mean the most recent cohorts are incomplete, and the report says so rather than showing a partial year as though it were final.

Stating that clearly is what keeps the report usable: an incomplete cohort presented as complete is how a good channel gets cut in its first year.

Preguntas justas

«Litify ya hace eso». No exactamente.

Ellos dicen

«Litify already reports on intake and case outcomes.»

Nosotros decimos

It does, inside the system. It has no record of the television spot, the search advert or the vendor that produced the call.

Ellos dicen

«We rank on cost per signed case.»

Nosotros decimos

At this fee distribution that metric is dominated by volume, and volume is not where the money is.

Ellos dicen

«Three years is too slow to act on.»

Nosotros decimos

The cases take that long. Grouping by signing date lets you act on complete cohorts while the recent ones mature.

Preguntas

Litify, en concreto.

¿Algo más? Pregúntenos y le responderá una persona.

No. It reads exported files, so your cases, documents and intake records stay where they are.

Litify y los demás nombres de productos y logotipos de esta página pertenecen a sus propietarios y se muestran para identificar el software del que procede un archivo. CloseRev no está afiliada a ellos ni cuenta con su respaldo, y no se conecta a ninguno: lee un archivo que usted exporta.

Empiece hoy

Dos exportaciones y lo sabrá.

Nada que instalar en Litify, sin clave de API y sin necesidad de haber rastreado nada hasta ahora. El año pasado funciona igual de bien que este mes.