Customereye

GN Law

Legal & Compliance • United Kingdomgnlaw.co.uk

Review data last updated .

Based on public reviews and response behavior.

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802 days of reviews, with a sparse monthly review flow. Busiest month: 8% of reviews. Languages: en 98%, unknown 2%.

Overall Score

79/100
−33.3 vs. last month4.93 ★ average rating
79/100 from public reviews over 19 months, moderate confidence.

Legal & Compliance average: score 69.9, rating 4.51 stars, reply rate 50.2%, over 1,081 ranked companies · benchmark 5 Nov 2026

Score

78.6

Industry average 69.9

8.7 above average

Rating

4.93

Industry average 4.51

0.42 above average

Reply rate

—

Industry average 50.2%

not measured

Competitive Performance Rank

Among ranked Legal & Compliance companies

#273of 1081 ranked in Legal & Compliance
Top 25% · Upper Halfdown 350 from last month
#1 (best)#1081 (worst)
#271Peer
#272Peer
#273This company
#274Peer
#275Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

93% of reviews positive, 7% negative

93%
positive
  • Positive93%
  • Neutral0%
  • Negative7%

Sentiment Balance

Covering August 2026, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 33% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
Hidden
Onboarding
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How this analysis was produced

The figures on this page come from the most recent reviews this company received, up to a per-company limit, so the period they cover depends on how quickly this company receives reviews: a busy company's sample may span only a few weeks, a quieter company's may span years. The window actually covered is stated above with the score. The analysis identifies patterns across many reviews at once and is not intended as a judgement on any individual one. For a complete analysis covering all available feedback, using AI rather than automated rules, .

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