Customereye

Morganandmorgan

Legal & Compliancemorganandmorgan.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 176 days (about 17 per month). Busiest month: 20% of reviews. Languages: en 98%, unknown 2%.

Overall Score

21/100
Short observation window (176 days)
+12.9 vs. last month1.10 ★ average rating · 100 reviews
21/100 from 100 reviews over 7 months, moderate confidence. trend not shown: window under six months.

Legal & Compliance average: score 67.7, rating 4.43 stars, reply rate 47.0%, over 1,467 ranked companies · benchmark 9 Oct 2026

Score

20.7

Industry average 67.7

47.0 below average

Rating

1.10

Industry average 4.43

3.33 below average

Reply rate

—

Industry average 47.0%

not measured

Competitive Performance Rank

Among ranked Legal & Compliance companies

#1445of 1467 ranked in Legal & Compliance
Top 99% · Bottom Tierup 56 from last month
#1 (best)#1467 (worst)
#1443Peer
#1444Peer
#1445This company
#1446Peer
#1447Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

23% of reviews positive, 74% negative

23%
positive
  • Positive23%
  • Neutral3%
  • Negative74%

Sentiment Balance

Covering August 2026 — 13 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 46% of reviews in this period, with 54% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 7 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
Hidden
Pricing
Hidden
HiddenHidden

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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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