feeldb

Legally Blondes

2009 · 86 min · Director: Savage Steve Holland ★ IMDb 3.7 · 6,704 ratings

Show plot summary (may contain spoilers)

Moving from England to California, the youngest cousins of Elle Woods must defend themselves when their schools reigning forces turn on the girls and try to frame them for a crime.

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Emotional fingerprint

Legally Blondes (2009) — Movie. Top emotional signals: Humor 35%, Smile 25%, Happiness 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

35%Humor
25%Smile
  1. Humor35%
  2. Smile25%

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Humor, Smile, Happiness. Genres: Comedy, Family. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Smile and Happiness. Its IMDb rating of 3.7/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 55/100.

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Emotional journey

AI · from subtitles
  • Humor
  • Joy
  • Relief

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Joy

Dominant emotion: Humor

Dominant emotion: Sympathy

Dominant emotion: Relief

Dominant emotion: Tension

Humor
Joy
Relief
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity peaks around 83 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorJoyRelief
2.5 %≈ 2′Joy43 %40 %38 %0 %
7.5 %≈ 6′Humor41 %39 %30 %0 %
12.5 %≈ 11′Humor43 %40 %20 %0 %
17.5 %≈ 15′Humor45 %43 %20 %3 %
22.5 %≈ 19′Humor44 %41 %24 %5 %
27.5 %≈ 24′Humor44 %41 %26 %3 %
32.5 %≈ 28′Humor48 %39 %25 %4 %
37.5 %≈ 32′Sympathy51 %35 %26 %14 %
42.5 %≈ 37′Joy51 %40 %33 %20 %
47.5 %≈ 41′Humor48 %43 %30 %16 %
52.5 %≈ 45′Humor49 %30 %18 %9 %
57.5 %≈ 49′Sympathy55 %20 %9 %11 %
62.5 %≈ 54′Relief55 %28 %10 %20 %
67.5 %≈ 58′Tension55 %36 %11 %16 %
72.5 %≈ 62′Tension59 %36 %11 %11 %
77.5 %≈ 67′Tension64 %37 %25 %29 %
82.5 %≈ 71′Relief65 %39 %46 %50 %
87.5 %≈ 75′Joy56 %39 %49 %39 %
92.5 %≈ 80′Humor45 %39 %36 %15 %
97.5 %≈ 84′Joy37 %33 %28 %7 %
Man in a hole

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

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Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

MR
Milly Rosso

BR
Becky Rosso

TC
Tanya Chisholm

Marcie

BC
Brittany Curran

BC
Brittany Curran

Tiffany

LB
Lisa Banes

Headmistress Higgins

Curtis Armstrong

Mr. Golden

RA
Rose Abdoo

Sylvia

BC
Bobby Campo

Chris

CB
Chad Broskey

Justin

CB
Chloe Bridges

Ashley

Amy Hill

Ms. Chang

KS
Kunal Sharma

Vivek

CS
Christoph Sanders

Brad

TO
Teo Olivares

Rainbow

CF
Caroline Fogarty

Cashier

TD
Trevor Duke-Moretz

Teen Cashier

RB
Robert Belushi

Waiter

SB
Serena Berné

Sales Lady

GC
Gisselle Castellanos

Wannabe

Details

Written by
Chad Gomez Creasey, Dara Resnik, Amanda Brown (character)
Type
Movies
Released
2009
Runtime
86 min
Country
USA
Genres
Comedy, Family
Ratings
★ IMDb 3.7 · 6,704 ratings
Feels mostly
Humor
Data updated

Where to watch

Also on

Availability varies by country

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.