“I was charged with DUI last night and my license is at risk. Who should I call today?”
When a criminal-defense prospect asks AI what to do next, urgency and local fit matter immediately.
Charge type, arrest status, court, prior record, license consequences, timing and geography can change the recommendation. The firm’s record must make those capabilities easy to verify.
What prospective clients may actually ask AI.
We model the facts, constraints and decision context that shape a real recommendation—not just a generic practice-area keyword.
“My son was arrested in Middlesex County and has no prior record. Which criminal lawyer handles this court?”
“I received a serious traffic charge and need a lawyer who can explain the license consequences.”
Recommendation fit depends on more than your practice label.
Charge type + consequences
Court + geography
Urgency + availability
Attorney experience + trust
Make the firm easier to understand, trust and recommend.
360AILegal improves the first-party record, external authority and expert-content footprint that AI systems and prospective clients can discover.
Evidence layers
- Charge-specific practice pages
- Attorney and courtroom experience
- Court, county and service-area facts
- Professional profiles, reviews and local citations
- Short-form video/podcast answers to urgent legal questions
- Immediate contact and consultation path
A benchmark built around the matters you want more of.
For paid baseline and program work, we convert agreed scenarios into a transparent prompt set, freeze the benchmark before optimization, and re-run the same questions later. Your team receives the prompts and can verify the tests itself.
Agree the scenarios
Matter type, geography, urgency, language, client stage and competitor set.
Version the benchmark
Keep the prompt set stable so later movement is comparable.
Measure the change
Compare recommendation frequency, shortlist inclusion, competitor share and cited sources.
See whether AI can understand and surface your law firm.
Start with a free public-data check. If you want a customized scenario benchmark built around the matters you want more of, the $199 baseline is the next step.