Customereye

OnPoint

Legal & Compliance • United Kingdomwww.onpsolicitors.co.uk%2Fonpoint

Review data last updated .

Based on public reviews and response behavior.

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192 reviews over 206 days (about 28 per month). Busiest month: 21% of reviews. Languages: en 100%, fr 1%.

Overall Score

96/100
+3.2 vs. last month4.95 ★ average rating · 192 reviews
96/100 from 192 reviews over 8 months, moderate confidence.

Legal & Compliance average: score 70.0, rating 4.51 stars, reply rate 50.5%, over 1,072 ranked companies · benchmark 30 Oct 2026

Score

96.1

Industry average 70.0

26.1 above average

Rating

4.95

Industry average 4.51

0.44 above average

Reply rate

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Industry average 50.5%

not measured

Competitive Performance Rank

Among ranked Legal & Compliance companies

#5of 1072 ranked in Legal & Compliance
Top 1% · Top Tierup 201 from last month
#1 (best)#1072 (worst)
#3Peer
#4Peer
#5This company
#6Peer
#7Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

96% of reviews positive, 4% negative

96%
positive
  • Positive96%
  • Neutral0%
  • Negative4%

Sentiment Balance

Covering September 2026 — 9 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Loyalty
Hidden
Customer Support
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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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