The Birth Injury Case Acquisition Playbook
This is the whole system, written out: how to decide whether the market is there, how to size demand to the constraint that actually limits case volume, how to buy the most expensive inventory in legal advertising without losing money on it, and how to measure the only number that matters. It assumes you are numerate and impatient.
Eight parts, roughly a forty-minute read. Published in full on this page. There is no gated version, no download wall, and no form. If you want it as a PDF, print the page — it is styled for it.
Part 1 — Decide whether the market is there
A birth injury acquisition programme is worth building when three things are true at once: enough births occur in a geography the firm can actually serve, the firm can review the inquiries that result, and the expected fee from a signed viable matter clears the all-in cost of acquiring it. Two of those are arithmetic. The third is the one firms skip.
The measured inputs are public and we publish them: births by county, hospitals confirmed to provide inpatient labour and delivery, and Offices of Lawyers establishment density. The whole layer is here, free, for all 3,144 U.S. counties.
| Question | Answer source | What it is not |
|---|---|---|
| How many births occur in the geography we serve? | Measured — Census county births | Not a measure of claims, adverse events, or anything clinical |
| How much competing legal capacity is there? | Measured — Offices of Lawyers density | Not a measure of birth injury capability; a county with forty offices may have nobody equipped for these matters |
| How many of those births produce a viable matter that reaches us? | You. We publish no rate, because no defensible public source exists. | Not something any vendor can honestly tell you |
The trap in part 1. Every market sizing you will be shown by a vendor multiplies births by a conversion rate they invented. The births figure is real and the rate is not, and the product inherits the worse of the two. Insist on seeing which inputs are measured and which are assumed. Our market opportunity tool labels its two assumed inputs on screen, in the result, not in a footnote.
Part 2 — Find the ceiling before you build demand
The number of birth injury cases a firm signs is set by how many inquiries it can competently review per week. Everything upstream should be sized to that number. This is the single most consequential idea in this document and it inverts how almost every agency engagement is scoped.
Review capacity is straightforward to compute and almost never computed: reviewer hours available per week, multiplied by a realistic utilisation, divided by hours per review. What makes it hard is that firms estimate all three inputs from job descriptions rather than from measurement, and all three estimates are optimistic in the same direction.
| Measure | How | What firms usually find |
|---|---|---|
| Reviewer hours actually spent on review, per week | A two-week time log | Well under half what the job description implies |
| Hours per completed review | Timestamp start and decision on ten real reviews | Wide variance; the mean conceals it |
| Share of inquiries reaching records review | CRM stage counts | Higher than believed, because the conversational screen is undocumented |
| Current backlog and its age distribution | One CRM query | The oldest item is older than anyone expected |
Part 3 — Rebuild attribution before optimising anything
Nothing in this document works if an inquiry cannot be joined to a signed matter. That join is the whole game, and in most firms it does not exist. Marketing lives in the ad platform, inquiries live in a CRM, and matters live in a case management system, and no identifier crosses all three.
The fix is mechanical and unglamorous: every inquiry carries source, campaign, landing page and timestamp from the moment it is created, those fields survive into the case management system, and signed-matter outcomes are pushed back to the ad platform as offline conversions. Without the last step, automated bidding optimises toward your cheapest, least viable inquiries — which is the failure mode described in part 5.
| Join | Carries | What breaks without it |
|---|---|---|
| Click or call → inquiry record | Source, campaign, keyword or audience, landing page, timestamp | Every downstream number is a guess |
| Inquiry → screening outcome | Screen result and reason, records requested and received dates | You cannot tell whether the problem is traffic or process |
| Screening outcome → signed matter | Matter identifier and signature date | Cost per signed case cannot be computed at all |
| Signed matter → ad platform | Offline conversion import | Bidding optimises toward the wrong inquiries, confidently |
Calls are half of this and they are usually missing. A large share of inquiries in this category arrive by phone, and an untracked call is invisible spend. Call tracking with recording, where lawful, is not optional instrumentation; it is the only way to grade what happens on the call.
Part 4 — Buy demand against a derived ceiling
Birth injury and medical malpractice keywords are among the most expensive inventory in paid search. That is not a reason to avoid the channel. It is a reason to know your break-even before the first impression serves, and to derive it backwards rather than benchmark it sideways.
Start from the expected fee of a signed viable matter. Multiply by the share of clicks that become one — the product of six sequential rates. Subtract screening cost spread across every inquiry, including the ones that produce nothing. What remains is the most you can rationally pay per click. Apply a target margin and you have a bid ceiling that is defensible in front of a partner.
| Channel | Job | Expected screen-out | Read |
|---|---|---|---|
| Paid search | Capture people already looking | Moderate | Service · Manual |
| Paid social | Reach the latent population who do not know a claim may still be live | High, and the survivors are valuable | Service |
| Organic and answer engines | Compound over quarters; cheapest per case at maturity | Low | Playbook |
| Co-counsel and referral | Pre-screened matters from people who already trust you | Lowest of any channel | Playbook |
Part 5 — The failure mode, in detail
Here is how a birth injury programme deteriorates while every dashboard improves. It is worth reading slowly, because it is the most common way money is lost in this category and it looks like success the whole way through.
- The campaign is set to optimise toward form fills, because that is the conversion the platform can see.
- The bidding system does exactly that, and finds cheaper form fills — which are systematically the less qualified ones, because qualified searchers are more expensive to reach.
- Cost per inquiry falls. This is reported, correctly, as an improvement.
- The share of inquiries passing screening falls at the same time. This is not reported, because nobody joined the two systems.
- Screening cost per signed case rises faster than media cost per inquiry falls, because you now screen more inquiries to find each viable matter.
- Cost per signed case rises. Signed case count falls. The marketing report is a page of green.
The fix is in part 3: import signed-case outcomes so the bidding system optimises toward cases. Everything else is downstream of that one integration.
The diagnostic question. Ask your agency for cost per signed case, computed from your case management system rather than from the ad platform. If they cannot produce it, they have not seen past the form fill — and neither has the bidding algorithm they are running.
Part 6 — Screening as a marketing function
Screening is usually treated as an operations problem that happens after marketing ends. Treated that way it is a cost centre. Treated as part of the acquisition system it is the highest-leverage feedback loop available, because the reason an inquiry was screened out tells the marketing side exactly what to stop buying.
| Reason | What it means upstream | Action |
|---|---|---|
| Outside the firm’s jurisdictions | Geographic targeting is leaking | Tighten targeting, or build a referral route and monetise them |
| Timeline clearly outside any applicable limitation period | Creative is reaching the wrong cohort | Adjust intent segmentation; never advise the caller either way |
| Not a birth-related matter | Keyword or audience contamination | Negative lists, audience exclusions |
| Birth-related, no indication of a departure from care | Expected and irreducible | This is the cost of the category, not a targeting failure. Budget for it. |
| Already represented | Competitive brand or directory placement issue | Brand defence, or accept it |
| Records never obtained; inquiry went cold | Not a screening failure — a process failure | The most recoverable loss in the entire funnel, and almost never worked on |
The last row deserves emphasis. Inquiries that die waiting for records are matters the firm already paid to acquire, already screened as promising, and then lost to a chase cadence nobody owns. Fixing it costs no media budget.
The full operational system is in the Medical Screening & Intake Manual.
Part 7 — The limitations question, handled correctly
In most states the limitations period for a child’s claim runs differently from an adult’s. The practical consequence for acquisition is large: a substantial latent population exists — parents of older children who assume it is far too late to ask anyone. They are not searching, most of them do not have a viable matter, and the ones who do are among the most valuable inquiries in the category.
This is also the single easiest place to cross a line. Content addressing this population must inform without advising. It can explain, generally, that limitation rules for a minor’s claim often differ and that only a lawyer looking at the specific facts and the specific state can say what applies. It must never tell a reader that their claim is live, that they have time, or that they should act — and it must never imply a value.
| Do not write | Write instead |
|---|---|
| "You may still have time to file." | "Limitation rules for a child’s claim often differ from an adult’s, and they vary by state. Only a lawyer reviewing the specific facts can say what applies to a particular situation." |
| "Your child’s cerebral palsy may have been caused by a delivery error." | "Families sometimes ask whether events around a delivery are connected to a later diagnosis. That question can only be answered by reviewing the medical records, which is what a records review is for." |
| "Cases like this can be worth millions." | Nothing. There is no acceptable version of this sentence in an advertisement. |
| "Free case evaluation — find out if you qualify." | "Speak to an attorney at no cost. They will explain what a records review involves and what happens next." |
The compliance framework is in the compliance publication. The creative standard is in Video & Creative.
Part 8 — What to measure, and how often
| Cadence | Metric | Who acts on it |
|---|---|---|
| Weekly | Inquiries, contact rate, 90th-percentile time to first contact, review queue depth and age | Intake lead |
| Weekly | Screen-out reasons by category | Marketing — this is the optimisation input |
| Monthly | Cost per signed case, all-in; screening share of total cost | Managing partner |
| Monthly | Cost per case surviving records review | Managing partner |
| Quarterly | Portfolio economics: retain vs. co-counsel vs. refer | Partners — see the model |
| Quarterly | Review capacity against demand, twelve weeks forward | Managing partner and intake lead together |
The dashboard, the forecast model, and the meeting structure that makes any of this get acted on are in the Firm Operating Manual.
The one-page summary
- Measure review capacity. It is the ceiling.
- Build the joins so an inquiry can be traced to a signed matter. Nothing works before this.
- Size demand to the ceiling, not to a budget.
- Derive your bid ceiling backwards from expected fee, conversion, and screening cost.
- Import signed-case outcomes so bidding optimises toward cases.
- Categorise every screen-out and feed it back weekly.
- Report cost per signed case at the top of every report, and cost per lead in the appendix.
- Raise the ceiling deliberately, then let demand follow.
Sources
- U.S. Census Bureau — County Population Totals and Components of Change, Vintage 2024 — births by county, 2021–2024
- U.S. Census Bureau — County Business Patterns, 2023 — NAICS 541110, Offices of Lawyers; establishment counts by county
- CMS Care Compare — Maternal Health · Hospital — PC-02, PC-07a, PC-07b, SM-7; 2024 reporting period
- CMS Care Compare — Footnote Crosswalk — definitions for suppression codes
Cite this analysis
Free to reproduce with attribution, including commercially. Charts may be embedded as published.
Birth Injury Marketing. “The Birth Injury Case Acquisition Playbook.” 24 August 2026. https://birthinjurymarketing.com/library/birth-injury-case-acquisition-playbook/
Journalists and researchers: we will cut this data to your specification — by state, by county, by hospital, by year — and send the underlying CSV, free and without conditions. Ask for a custom cut. We will also tell you what the data cannot support.
Other publications
The Medical Screening & Intake Manual
The operational system around the constraint that actually limits case volume. The document nobody else has written.
Legal Advertising Compliance for Birth Injury Marketing
A framework for staying inside bar advertising rules in the most heavily scrutinised category in legal marketing.
The Co-Counsel & Referral Development Playbook
The channel with the best economics in this practice area, built deliberately instead of accidentally.
All eight → · The tools that come from these → · Have us run it →
Authorship & review
- Author
- Kevin Schwaner, Founder; Chief Marketing Officer. Credentials.
- Last reviewed
- Legal review
- Not yet assigned. This page describes marketing practice, not law, and gives no legal advice. Rules cited are linked to the primary source so you can read them directly. See Editorial Standards.
- Corrections
- Found an error? Tell us and it goes in the dated corrections log, whether or not it flatters us.