ACC AI & Law Summit · March 27, 2026
Analyze a real Texas lease. Apply tenant rights law. Build your legal argument with AI-assisted analysis. All materials below.
The Scenario
You've been finding mouse droppings in your Austin apartment, in the kitchen cabinets, along the baseboards, and under the sink. You've seen mice twice in the past week. You've told your landlord three times in 10 days. Nothing has changed. No pest control dispatched.
Your question: Can you break your lease, or are you stuck? Your task: use AI to determine whether you have a legal case and develop an actionable plan.
Step 1: Get Your Materials
Document 1
Texas Residential Lease Agreement (PDF)
Texan Properties LLC. 35 pages. Austin, TX. $2,695/mo. This is the lease your client signed.
Document 2
Tenant Rights Lab Worksheet (PDF)
7 pages. Structured checklist, argument builder, AI evaluation rubric, and embedded agent context. Upload this alongside the lease to any AI assistant.
Document 3
Interactive Session Handout (PDF)
The scenario, client profiles, and your team's assignment. 2 pages.
Bonus: Document 4
Risk Scoring Worksheet (PDF)
The ARPN risk scoring framework with embedded AI agent context. Use it to score the risks in your client's case. Optional but powerful.
Step 2: Know Your Client
Sofia Ramirez (22)
UT Student
Latina (Mexican), Female, Heterosexual
International student living in West Campus. Limited savings, relies on part-time job and family support.
Marcus Green (34)
Tech Worker (laid off)
Black/African American, Male, Gay
Lives in the Domain area. Recently laid off from a high-paying tech job. Highly educated (PhD) and actively job searching.
Emily Chen (27)
Nurse
Asian American (Chinese), Female, Bisexual
Lives in East Austin and works night shifts at a local hospital. Stable income but needs to live close to work with limited flexibility.
Priya Patel (31)
Graduate Student
South Asian (Indian), Female, Heterosexual
Graduate student on a visa living in North Campus. Relies on a fixed stipend with limited financial cushion.
Luis Hernandez (40)
Construction Worker
Latino (Mexican American), Male, Heterosexual
Lives in Riverside. Job site recently moved further away. Commute costs are becoming unaffordable.
Step 3: Use the AI
Open Claude, ChatGPT, or Gemini. Upload the lease PDF and the lab worksheet. Then paste this prompt:
This prompt guides the AI through a structured legal analysis specific to Texas tenant law. It forces the AI to cite statutes, reference the actual lease, and consider your client's situation.
Reference
Texas law requires landlords to make a diligent effort to repair conditions that materially affect the health or safety of an ordinary tenant. Mouse infestations can qualify. Note: Section 92.006 allows limited waiver or tenant-repair arrangements in narrow cases, so analyze whether any such provisions apply here.
The lease shifts pest control responsibility to the tenant. But Texas courts have held that landlords cannot contractually disclaim the implied warranty of habitability for conditions they caused or failed to remedy. This clause may be unenforceable.
Tenants must give written notice of the condition. The landlord gets a "reasonable time" to repair. Three verbal notices over 10 days with no response strengthens the tenant's position, but written notice is stronger.
Section 92.056 covers tenant remedies when the landlord fails to repair, including termination. Section 92.0561 covers the repair-and-deduct remedy. Each has specific notice and timing requirements. Research both to understand which applies to your client's situation.
If conditions make the apartment substantially unsuitable for its intended purpose and the landlord fails to remedy them, the tenant may argue constructive eviction. The tenant must vacate to use this defense.
Step 4: Evaluate the AI
Go Deeper
The ARPN Framework scores risk across five dimensions with behavioral prediction. The Acquit Score validates findings across multiple independent AI analyses. Published methodology, open for evaluation.
Or just stay close. Drop your email for occasional methodology updates while you decide whether to apply.
Got it. We'll send a note when there's something worth reading.