WHAT YOU CAN ACTUALLY SAVE
Legal fees: Cut lawyer time by 75% on routine evictions ($2,000+ per case) Vacancy costs: Spot problems 30–60 days earlier (that’s 1–2 months’ rent saved) Compliance penalties: Never eat a $10,000 fair housing fine again Your sanity: Priceless, but let’s say $500 in therapy bills
EARLY WARNING: YOUR DIGITAL CRYSTAL BALL
Humans are terrible at spotting patterns. AI is not. That reliable tenant who’s slowly sliding from the 1st to the 5th to the 15th of the month? As you grow your portfolio it gets more challenging to stay on top of negative trends. AI catches these red flags while you’re focused on finding a plumber for Unit 12. Good systems don’t just flag problems, they predict them. “Tenant in 4A has paid progressively later for three months. Historical data suggests 78% chance of default within 60 days.” Now you can intervene before it’s a crisis.
STRATEGIC DECISIONS: STILL NEED A HUMAN BRAIN Should you evict the Airbnb entrepreneur in 2B or wait for missed rent? Chase that judgment against someone whose bank account will be empty for the foreseeable future? These aren’t legal questions; they’re business decisions. AI gives you the data: collection rates (spoiler: 11% average), timeline projections, bankruptcy risk scores. But knowing whether to pull the trigger? That’s where experience—yours or your lawyer’s—matters.
WHEN TO CALL IN THE CAVALRY
Some situations scream for human lawyers: The Suspicious Timing: Tenant develops a disability exactly one day after receiving an eviction notice? Lawyer up. The Revenge Play: That tenant who called code enforcement last month suddenly can’t pay? You’re walking into a retaliation trap. The Collection Game: Getting a judgment is easy. Getting paid requires finding hidden assets, navigating bankruptcy, knowing when you’re throwing good money after bad. Algorithms can’t do that dance.
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