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Aviary Attorney
The hottest bird lawyering game to come out of 1840s France! Join Jayjay Falcon and his witty apprentice, Sparrowson, as the two take on clients, interview witnesses, collect evidence, and deliver justice to the guilty.
Reviews
1,155
Very Positive
Positive
94.5%
1,092 positive
Followers
9.1K
Est. WishlistsestiProxy: followers × 12 (industry heuristic)
109.2K
Est. OwnersestiBoxleiter method: reviews × 32
37K
Est. RevenueestiEst. owners × ~62% of list price
$343.5K
Price (US)
$14.99
Release
Dec 21, 2015
About
The year is 1848. Paris is on the brink of yet another revolution, and the prisons are overflowing with guilty and innocent alike.
One man stands for justice amid society's chaos. No. One bird...
Play the role of Monsieur Jayjay Falcon, a bird of prey with a good heart and questionable lawyering expertise. Join him and his witty apprentice, Sparrowson, as the two take on clients, interview witnesses, collect evidence, and deliver justice to the guilty.
With art by 19th century caricaturist J. J. Grandville, and music by legendary romantic-era composer Camille Saint-Saëns, this game promises to be a ~swanderful~ experience.
One man stands for justice amid society's chaos. No. One bird...
Play the role of Monsieur Jayjay Falcon, a bird of prey with a good heart and questionable lawyering expertise. Join him and his witty apprentice, Sparrowson, as the two take on clients, interview witnesses, collect evidence, and deliver justice to the guilty.
With art by 19th century caricaturist J. J. Grandville, and music by legendary romantic-era composer Camille Saint-Saëns, this game promises to be a ~swanderful~ experience.
Features:
- Four chapters of talon-biting intrigue and suspense.
- Dozens of colorful characters to meet, interview, and bribe.
- Did I say bribe? I meant persuade.
- Real-life landmarks. Knock on the doors of Notre-Dame! Loot the Louvre!
- Three fully fleshed-out endings. Decisions have consequences!
- More bird puns than you can shake a feather at.
Estimates — owners use the Boxleiter method (reviews × 32), wishlists proxy followers × 12, revenue uses ~62% of list price × est. owners. These are rough industry heuristics, not official data.
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