CrashStory
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Analyzing Data...
Explore the lawyer toolset
Move between location intelligence, coverage gaps, and live lead signals.
Analyzing Data...
Identify areas across Colorado with high accident volume and low lawyer competition. Make data-driven decisions about where to open or expand your personal injury practice.
Our location scoring system evaluates the selected metro area cell-by-cell to find where a personal injury practice has the strongest demand-to-competition gap. It aggregates crash and competition signals into a single opportunity score per map cell.
Splits the selected metro into uniform map cells
Calculates crash demand with injury crashes weighted 2x
Adjusts lawyer competition using review quality analytics
Visualizes top opportunity cells directly on the map
Effective lawyer supply starts with nearby attorney count, then weights it by review composite score, average rating, and review volume. The +1 guard prevents division-by-zero while still rewarding underserved markets.
Total crashes in each map cell over the lookback window create the base level of local case demand.
Injury crashes are weighted 2x higher than non-injury crashes to prioritize higher-value opportunity zones.
Raw lawyer counts are adjusted by review quality and review volume to estimate true competitive supply.
Composite review analytics influence supply weighting, so weaker-reviewed clusters score as less saturated.
The location analysis draws from multiple verified data sources to provide accurate, actionable insights for your practice.
Normalized crash database
CDOT and Denver ArcGIS crash records power demand calculations
Law firm directory
Nearby PI attorney counts are measured with radius-based proximity
Lawyer review analytics
Rating, review count, and composite quality score feed effective supply
Grid-cell map model
The map renders scored cells, not every individual crash point
Interactive analysis loads as you scroll
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