Personal Injury AI Quote Generator in New Mexico

The intake form asks five to seven questions tuned for PI: type of accident (auto rear-end, auto T-bone, auto multi-vehicle, slip and fall, premises liability, workplace, medical malpractice, dog bite, product defect, wrongful death), severity of injury (no medical treatment yet, ER visit only, ER plus follow-up care, hospitalization, surgery required, permanent disability), at-fault party (commercial driver, uninsured motorist, business premises owner, employer, manufacturer, government), insurance status of claimant (uninsured motorist coverage status), urgency indicators (received call from adjuster already, hospitalized currently, statute of limitations approaching), zip code, and an optional notes field for accident details. The form submits into n8n.

The workflow normalizes the inputs, runs them through an OpenAI prompt seeded with realistic settlement ranges across minor soft tissue auto cases (fifteen to thirty-five thousand typical), moderate auto cases with surgery (one hundred to five hundred thousand), severe auto cases with permanent disability (five hundred thousand to several million), slip and fall on commercial premises, workplace cases under workers' comp, medical malpractice with verdict and settlement statistics, and wrongful death, with contingency fee structure (typical 33% pre-suit, 40% post-suit) and the no-recovery-no-fee framing. The JSON gets templated into a branded HTML email with the firm's logo, the estimated recovery range, the contingency fee structure, and a one-click intake call booking link.

A matching SMS fires through Twilio. Total time from form submit to evaluation in hand, around thirty-five seconds.

Personal injury claimants get called by an insurance adjuster within forty-eight hours of an accident and offered a quick settlement that is almost always a fraction of the actual case value. The claimant who has not yet engaged an attorney often accepts the lowball settlement out of stress, urgency, and the belief that they cannot afford an attorney.

The firm that responds inside the first day with a contingency fee explanation and a realistic case value range stops the claimant from accepting the adjuster's lowball and locks in a much larger recovery for the firm and the claimant. Most PI firms fail at the speed game because the intake coordinator is on the phone with another claimant, the inquiry from this morning gets a callback two days later, and the claimant has already taken the adjuster's settlement.

The firm sees the inquiry, sees no intake, and assumes the case was not viable. The case was viable, and the claimant got fifteen thousand instead of one hundred fifty thousand because nobody got back to them fast.

An average auto accident case with soft tissue injury settles at twenty-five to fifty thousand, with the firm's contingency fee at thirty-three percent yielding eight to seventeen thousand in fees. A moderate case with surgery settles at one fifty to four hundred thousand, with fees of fifty thousand to one hundred thirty thousand. A severe case can yield seven figures in fees.

A PI firm pulling fifty inbound inquiries a month and signing eight at sixteen percent close rate is roughly industry baseline. Push close rate to thirty percent on instant-evaluation leads, which is realistic because the claimant is anchored to the firm that took them seriously inside the first day, and the firm adds seven extra signed cases a month at a blended fee value of twenty thousand. That is one hundred forty thousand a month in expected fees, on lead flow they are already paying for.

The retainer pays for itself in the first signed case.

Complete n8n workflow with the Tally trigger, field normalization, OpenAI case evaluation generation, email templating with appropriate disclaimers, and Twilio SMS dispatch. Tally form schema with PI questions, including conditional branching that surfaces auto-accident details, workplace injury and workers' comp specifics, medical malpractice statute considerations, and wrongful death sensitivity. OpenAI system prompt seeded with realistic settlement ranges by case type and severity, contingency fee structure, statute of limitations awareness by state, and the no-recovery-no-fee framing required for ethical attorney marketing.

Branded HTML email template with case evaluation, contingency fee explanation, no-recovery-no-fee guarantee, and a one-click intake call booking link with appropriate attorney advertising disclaimers. Twilio SMS template that fires alongside the email. Setup guide for the OpenAI key, the Twilio number, the domain authentication, the state-bar compliance disclaimers, and the brand swap.

Also included: a three-touch follow-up sequence for unbooked intakes.

New Mexico has 2 million residents distributed across major metros including Albuquerque, Las Cruces, Rio Rancho, Santa Fe, and Roswell. New Mexico's Construction Industries Division licenses all major trades. Albuquerque is the dominant metro. Santa Fe has high-end residential service demand.

The seasonality of personal injury work in New Mexico is the single biggest factor that shapes how this ai quote generator actually performs in the market. Extended dry warm season. Monsoon activity July-September. The template's qualification logic, dispatch rules, and conversation flow are tuned to handle these patterns rather than forcing the agency operator to customize from scratch. Shops that deploy this in New Mexico markets see the seasonality framing show up in the conversations from the first call.

Regulatory framework for personal injury firms in New Mexico varies at the local level rather than statewide, which is worth understanding because licensing references in customer conversations need to match local jurisdiction. The agent template handles this correctly by deferring licensing-specific questions to local context rather than asserting state-level rules that may not apply.

Plan four hours including the screen-share with the managing attorney and the intake coordinator. You import the n8n workflow, paste the Tally form into the firm's website, wire in their domain so the email comes from the firm name, swap in the logo and the brand colors, and test by submitting a fake evaluation for a rear-end accident with ER visit and ongoing chiropractic.

The evaluation logic in the OpenAI prompt benefits from a real call with the managing attorney: they will want to set the settlement ranges that match the firm's actual case history by jurisdiction, set the contingency fee structure (one-third pre-suit, forty percent post-suit is standard but firms vary), tune the case-type evaluation logic (the firm may not take medical malpractice or product liability for example), and confirm the state-bar compliance disclaimers in the email. That conversation takes an hour.

Once tuned, the system runs without intervention. Agency operators bill setup at eight hundred to fifteen hundred, retainer at five hundred to a thousand a month, and the firm pays gladly because one extra signed case a month covers the retainer for years.