Lawyer directory built from
public Google review data.
Find a lawyer using a directory that tracks 527,168 public Google reviews, retrieves 450,536 review records, and analyzes 365,756 text reviews across 1130 firms. Law Leaderboard surfaces response rates, recommendation language, communication signals, and market context that traditional directories rarely show.
Law Leaderboard is a lawyer directory covering 1130 firms across 25 US cities. Use the city pages to compare ranked firms, the firm pages to audit one candidate, and the methodology page to see exactly how the review analysis works.
National Snapshot
Top PI firms by review evidence — Houston
View All Rankings →Clients Praise
- ✓ Explicit recommendation (52.9%)
- ✓ Professionalism (25.9%)
- ✓ Case results (15.9%)
Common Complaints
- ✕ Unprofessional behavior (16.0%)
- ✕ Poor communication (3.9%)
- ✕ Slow process (2.0%)
Why LawLeaderboard
Traditional directories hide what actually matters.
LawLeaderboard surfaces the trust signals clients actually care about.
Traditional Directories
- × Favor paid placements
- × Mostly show star ratings
- × Limited insight into client experience
- × Weak transparency on ranking logic
LawLeaderboard
- ✓ Analyzes review text with NLP
- ✓ Surfaces response & recommendation patterns
- ✓ Compares firms city-by-city
- ✓ Explains how every ranking is built
City Rankings
Explore lawyer rankings by city
Market benchmarks, top-ranked firms, review intelligence, and search demand data.
Orlando, Florida
Atlanta, Georgia
High DemandHouston, Texas
High DemandLos Angeles, California
High DemandTampa, Florida
Chicago, Illinois
Review Evidence Ranking
A disclosed way to compare public review evidence
Dataset-wide aggregate signals shown for context. See the methodology for the seven weighted score components.
Rankings use Review Evidence Score review-evidence-v1.0.0 and do not use Google Maps position. The score does not measure legal ability or outcomes.
Review Intelligence
What clients actually praise — and complain about
Recurring themes extracted from public Google review text.
Positive Signals
Most recurring praise across 365,756 analyzed text reviews
Percentages estimate how often each signal appears across the analyzed review text.
Negative Signals
Most recurring complaints across the estimated negative-review subset
Complaint percentages are estimated from firms' negative-review analysis, not from the full tracked review count.
Process
How LawLeaderboard works
From raw review data to actionable rankings.
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4 Discover
Target 50 office profiles in each assessed practice-by-city cohort.
Collect
Current build stores retrieved review records, timestamps, and owner responses per firm.
Analyze
NLP extraction across 50+ signals in 10 categories.
Rank
Response rate, recommendation %, communication, consistency.
Coverage
Expanding across major legal practice areas
Personal Injury
LiveBroad personal-injury review evidence across every covered city.
25 published city markets
Car Accident
LiveCar-accident practice signals and public-review evidence.
25 published city markets
Truck Accident
LiveCommercial-truck context with false-positive classification gates.
20 published city markets
Motorcycle Accident
LiveMotorcycle-accident context and market-level review evidence.
22 published city markets
Medical Malpractice
LiveMedical-malpractice practice signals with an eight-office page gate.
12 published city markets
Workers' Compensation
LiveWorkers' compensation practice signals and review evidence.
17 published city markets
Trust
Transparent by design
Publicly sourced data
All rankings computed from publicly available sources.
No paid placements
Firms cannot buy a higher ranking.
Dated snapshots
Every published dataset carries explicit provenance and freshness details.
Explained metrics
Every score is tied to a clear, documented methodology.
LawLeaderboard is an informational resource, not legal advice.
Find the best-rated law firm in your city
Compare lawyers using review-derived trust signals, transparent rankings, and market-level benchmarks.
Published as dated snapshots from publicly available review and market data.