When an HOA brought suit against a developer, general contractor, and architect for water intrusion and structural damage across three buildings and 68 units, the evidence set was massive: over 1 million files across 1TB of data. DecoverAI processed the full corpus, surfaced liability-mapping evidence, and completed first-pass review in weeks—at a fraction of managed review cost.
An HOA brought a multi-party construction defect lawsuit against a developer, general contractor, and architect. Three buildings. 68 units. Extensive water intrusion and structural damage. The litigation implicated every party involved in the design and construction of the complex—and the document record that tied them together was enormous.
The evidence set spanned over 1 million files across 1 terabyte of data—architectural drawings, construction logs, contractor communications, inspection reports, material specifications, subcontractor invoices, warranty documents, and expert analyses. A traditional managed review would have taken four to six months and cost between $1.5M and $2.5M.
The litigation team turned to DecoverAI. With a custom ingestion pipeline built for the volume and document diversity of the matter, DecoverAI processed the full corpus, built liability-mapping views across all three defendants, and delivered a searchable, cross-referenced corpus to the team in weeks.
Multi-party construction defect work combines the scale of complex commercial litigation with the document diversity of a construction project. Schaff needed to solve:
The full 1TB corpus was ingested, processed, and indexed. Custom ingestion handled the diversity of file types—PDFs, CAD files, email threads, spreadsheets, scanned documents—without data loss or normalization gaps.
DecoverAI was configured to recognize patterns specific to construction defect litigation: defective specifications, failed inspections, warranty disclaimers, change orders affecting structural integrity, and communications about known defects.
Contracts between the HOA, developer, general contractor, architect, and subcontractors were cross-referenced to map each party's obligations, exposures, and indemnity coverage across the full project lifecycle.
DecoverAI built entity-linked views tracing communications, approvals, and decisions across all custodians and all three defendant parties—making it possible to establish who knew what, and when.
A side-by-side comparison of traditional managed review against DecoverAI for this matter. The same scope. The same document set. A fundamentally different result.
| Metric | Traditional Managed Review | With DecoverAI |
|---|---|---|
| Review Team Size | 15–25 contract reviewers | DecoverAI + 2–3 attorneys |
| First-Pass Review | 4–6 months | 2–3 weeks |
| Cost per Document | $1.50–$2.50 | $0.05–$0.15 |
| Total Review Cost | $1.5M–$2.5M | $50K–$150K |
| Cost Savings | — | 90%+ ($1M+ saved) |
DecoverAI transformed how we approached this case. With over a million files to process, we needed a platform that could handle the volume without sacrificing accuracy. DecoverAI delivered on both fronts—surfacing critical evidence faster than any traditional review method could.
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See how DecoverAI handles scale without sacrificing accuracy or breaking the budget.
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