Case Summary
A condominium owners' association filed suit against the developer, general contractor, and project architect after an engineering assessment revealed widespread construction defects across a luxury condominium complex. The property comprised three buildings housing 68 units. Water intrusion was found in all three buildings, resulting in significant structural damage, unsafe balcony rails, rotted wood decking, and structurally inadequate balcony framing. The buildings were closed and on-site businesses forced to shut down.
The legal team deployed DecoverAI to manage the full scope of eDiscovery, processing 1TB of data and over 1 million files—encompassing engineering reports, construction plans, inspection records, insurance correspondence, subcontractor agreements, and internal communications across all parties.
The Challenge
Construction defect cases of this magnitude generate enormous volumes of documentation. With three defendants and complex overlapping responsibilities, the legal team needed to:
- Review and analyze 1TB of data spanning engineering reports, contracts, correspondence, and inspection records across all three buildings and multiple defendants
- Identify construction defect patterns by cross-referencing building plans, engineering assessments, and contractor communications to establish which defects were systemic versus isolated
- Surface critical contractual provisions including warranties, indemnity clauses, and scope-of-work terms buried across developer, contractor, and subcontractor agreements
- Trace responsibility across multiple parties—developer, general contractor, and architect—to determine who knew what, when, and whether proper oversight was exercised
- Manage over 1 million files while maintaining accuracy and speed in preparation for litigation
How DecoverAI Delivered
Large-Scale Document Review & Analysis
DecoverAI processed the full 1TB dataset, enabling the legal team to quickly identify relevant documents across all three buildings and all defendant parties. AI-powered classification and prioritization ensured the most critical materials surfaced first, dramatically reducing review time.
Defect Pattern Identification
Through advanced document comparison and entity tracking, DecoverAI cross-referenced engineering assessments, contractor communications, and building inspection reports to identify systemic defect patterns across all three buildings—establishing that the structural failures were not isolated incidents.
Contractual Provision Analysis
The platform parsed agreements between all parties, identifying and flagging warranties, indemnity clauses, performance standards, and scope-of-work provisions. This automated extraction enabled a comprehensive contractual map linking each party's obligations to the specific defects alleged.
Multi-Party Liability Tracing
DecoverAI's entity tracking and timeline generation tools helped trace the chain of knowledge and responsibility—determining when each party became aware of construction issues and whether appropriate action was taken.
Accelerated Pre-Litigation Strategy
Intelligent summarization distilled voluminous engineering reports, inspection logs, and internal emails into concise, actionable briefs—saving hundreds of hours and enabling the legal team to develop a comprehensive litigation strategy while the case was still in its early stages.
Cost & Time Comparison
| Metric | Managed Review | DecoverAI |
|---|---|---|
| Review Team Size | 15–25 contract reviewers + 2–3 senior attorneys | 2–3 attorneys + AI platform |
| First-Pass Review | 4–6 months | 2–3 weeks |
| Cost per Document | $1.50–$2.50 | $0.05–$0.15 |
| Estimated Total Cost | $1.5M–$2.5M+ | $50K–$150K |
| Defect Pattern Analysis | Manual; dependent on reviewer notes | Automated cross-referencing |
| Multi-Party Liability Mapping | Manual via spreadsheets | Automated entity tracking & timeline |
| Consistency / Recall | Variable; subject to fatigue and drift | Consistent AI with human-in-the-loop |
Impact
- Massive time savings—first-pass review completed in weeks instead of months, enabling faster litigation strategy development
- 90%+ cost reduction compared to traditional managed review, saving over $1M on document review alone
- Systemic defect patterns identified across all three buildings through automated cross-referencing of engineering reports and contractor communications
- Multi-party liability mapped with automated entity tracking and timeline generation across developer, contractor, and architect
- Hundreds of attorney hours saved through intelligent summarization of engineering reports, inspection logs, and internal correspondence
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.