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UK Housing Disrepair Campaign: AI-Powered Legal Screening at Scale

UK Housing Disrepair Campaign: AI-Powered Legal Screening at Scale

Executive Summary

This case study outlines how AutoCall's AI voice platform powered a large-scale legal outreach campaign across the UK. The objective was to identify tenants eligible to pursue disrepair claims against Housing Associations or Local Councils. Working from a cold data list, AutoCall successfully handled over 17,000 live conversations and identified 243 legally qualified leads from 17,766 answered calls, a 1.37% conversion rate that significantly exceeds cold outreach benchmarks.

Each lead passed a strict, multi-factor eligibility screen, proving the system's ability to deliver compliant, scalable performance in a high-regulation environment.

Campaign Profile

Key Metrics

  • Campaign Name: UK Housing Disrepair Legal Pre-Qualification (Cold Calling)
  • Industry Sector: Legal Services / Housing Rights
  • Primary Objective: Identify eligible tenants for disrepair lawsuits
  • Campaign Volume: 51,631 outbound calls
  • Answered Calls: 17,766 (34.4% answer rate)
  • Qualified Leads: 243 (1.37% of answered)
  • Campaign Duration: 8 weeks

The Strategic Challenge

A UK-based legal firm needed to identify tenants living in substandard housing conditions who met the eligibility criteria for legal claims. The campaign was launched without access to enriched datasets, such as tenant records or complaint databases. The challenge was to run a multi-criteria legal intake process at national scale using only voice automation.

Key Pain Points:

  • Lack of pre-segmented or enriched data
  • Multi-step legal screening with strict compliance requirements
  • High operational costs of traditional manual outreach
  • Compressed timelines to reach thousands of households
  • Legal and data compliance constraints across all interactions

The AutoCall Solution

AutoCall deployed its AI Phone Agent to conduct the entire campaign autonomously. The system used a scripted voice logic tree that evaluated each contact across multiple eligibility gates, including tenancy status, duration, property condition, and prior legal history.

Solution Architecture:

  • 51,631 outbound calls launched
  • 17,766 calls answered and handled in full by AI
  • 243 qualified leads identified through structured legal logic
  • Call analytics, eligibility scoring, and compliance tagging completed automatically

Key Technical Features:

  • AI voice interactions structured for legal compliance
  • Branching logic flows covering all relevant legal criteria
  • Real-time transcription and scoring for every conversation
  • GDPR-compliant data processing with no manual handling required

Performance Evaluation

243 Qualified Leads

Each lead passed tenancy verification, damage assessment, and claim history filters, which makes them high-value.

1.37% Conversion Rate from Answered Calls

  • For unfiltered cold outreach, this is above industry average
  • Legal cold campaigns typically see 0.2% to 0.8% from answered calls
  • The campaign performance is roughly 2x the average

0.47% Conversion Rate from Total Dialed

  • This is strong for a cold list with no prior segmentation
  • Many campaigns fall below 0.3% without pre-qualification

Operational Efficiency

Autonomous Operation

  • No human call agents required
  • Fully autonomous execution and reporting
  • High consistency and audit-ready performance across thousands of interactions

Strategic Learning

  • Results exceeded standard performance benchmarks for cold legal outreach
  • System proved capable of handling complex logic and high-volume campaigns
  • Future opportunities include list enrichment to further improve conversion rates

Client Testimonial

"AutoCall enabled us to scale our legal intake with precision and speed. The campaign ran end-to-end without a single manual intervention and returned high-quality leads at scale"

Director – Sales

Strategic Value Proposition

Why AutoCall Was Selected

Operational Excellence:

  • National-scale execution with no agent training or ramp-up
  • 17,000+ conversations handled with full legal compliance
  • Repeatable framework for legal intake at scale

Technical Advantages:

  • Structured call logic for legally accurate screening
  • Comprehensive analytics and call tagging built in
  • Fully automated, GDPR-compliant solution

Strategic Benefits:

  • Reached underserved populations with potential legal claims
  • Created a re-usable infrastructure for future legal campaigns
  • Positioned for greater impact with improved targeting data

Industry Impact and Recognition

This campaign sets a new standard for AI-powered legal outreach. AutoCall surfaced 243 eligible claimants from cold data through structured, compliant, and scalable outreach. With a conversion rate well above average for this sector, the system has proven itself ready for broader adoption in legal and compliance-focused industries.

Conclusion

The UK Housing Disrepair Campaign shows that AutoCall's AI voice technology can handle large-scale, high-compliance outreach efficiently. With 243 legally eligible leads surfaced from 17,766 conversations, the campaign establishes a strong foundation for future deployments.

This validated campaign confirms AutoCall as a reliable AI partner for legal outreach at scale. Future campaigns leveraging enriched datasets are projected to yield 3–5x higher conversion.

What's Next?

The success of this campaign has opened doors for:

  • Expanded legal intake automation across multiple practice areas
  • Enhanced data enrichment strategies for improved targeting
  • Scalable compliance frameworks for regulated industries
  • National deployment capabilities for legal service providers

Ready to transform your legal intake process with AI-powered voice automation?


Ready to scale your legal outreach with precision and compliance? Contact AutoCall today to discover how AI voice technology can deliver qualified leads at scale whilst maintaining full regulatory compliance.

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