AI automation & speed-to-lead
Speed to first contact is the highest-leverage operational variable in legal intake, and it is almost entirely a systems problem rather than a staffing one. We build the system: response inside five minutes, every inquiry, every hour — with a human on the other end of anything that requires judgement, and an automated agent that knows what it is not allowed to say.
What the automated layer is allowed to do
| Constraint | Implementation |
|---|---|
| Never assesses merit | No merit vocabulary in the response set; merit-adjacent user input triggers immediate escalation |
| Never states or implies a value | Numeric-amount responses are disabled entirely in this context |
| Never presents as a lawyer or as firm legal staff | Self-identification as automated in the first message and on request |
| Never gives legal or medical advice | Out-of-scope classifier escalates rather than answering |
| Everything is logged | Full transcript written to the case file, retained under the firm’s retention policy |
| Firm-specific disclosures present | Jurisdiction-aware disclosure block, reviewed by the firm before launch |
| Baseline measure | How it is captured | Typical finding when a firm measures it for the first time |
|---|---|---|
| Time to first contact, per inquiry | Timestamp on inquiry creation vs. first outbound contact in the CRM | The median looks acceptable; the 90th percentile does not |
| After-hours share of inquiries | Inquiry timestamps bucketed by local hour | Substantially higher than firms expect in this category |
| Inquiries with no contact attempt logged at all | CRM audit | Rarely zero |
| Contact attempts before abandonment | CRM activity count per inquiry | Often one, where the firm believes the policy is three |
Practising what the site preaches
Every inquiry to this site is answered by a person, and the target is the same five minutes we hold client programmes to. If we miss it, we will tell you we missed it. A site that sells speed-to-lead and takes two days to reply is an argument against its own thesis. Test it →
What we report
| Metric | Role | Reported as |
|---|---|---|
| Median and 90th-percentile time to first contact | Primary | Headline. The median flatters; the 90th percentile is where cases are lost. |
| Contact rate within five minutes, business hours | Primary | A rate, not an average. |
| After-hours inquiries reaching a human by next morning | Primary | Reported separately; the failure mode is different. |
| Escalation accuracy | Guardrail | How often the automated layer correctly hands off. Errors here are the risk of the whole line. |
| Automation coverage rate | Operational | Appendix. Coverage is not the goal; contact is. |
| Phase | Length | What happens | What you get |
|---|---|---|---|
| 0 · Diagnostic | 3 weeks | Market sizing from our data, audit of current spend against cost per signed case, screening-capacity model | A written plan and a decision. Credited in full against the first three months of any retainer. |
| 1 · Instrumentation | Weeks 1–4 | Tracking rebuilt so every inquiry carries its source through to the case management system | A funnel you can audit. Nothing is optimised before it can be measured. |
| 2 · Build | Weeks 3–10 | Channel build, creative, landing pages, intake scripts and screening rubric | Assets you own outright, in your accounts, under your name. |
| 3 · Operate | Ongoing | Weekly optimisation against cost per signed case, monthly against cost per case surviving review | A monthly report that leads with signed cases, not impressions. |
When this is the wrong service for you
If your inquiry volume is low enough that a person genuinely answers every one inside five minutes, you do not need this. Instrument what you have, prove it with data over a month, and spend the money on screening instead. Buying automation to fix a problem you have not measured is how firms end up with three tools and the same response time.
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SEO & AI search
Built to be quoted by answer engines, not only ranked by search engines. Both are measured separately.
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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.