How a U.S.-based property dispute law firm used AI consulting, legal document intelligence, and workflow automation to analyze case files, organize evidence, surface critical property facts, accelerate legal research, and give attorneys faster access to matter intelligence — without replacing attorney judgment.
The client is a U.S.-based law firm focused on complex property and real estate disputes, including ownership conflicts, title disputes, boundary disagreements, easement disputes, partition actions, landlord-tenant conflicts, property damage matters, and related real estate litigation.
Every new matter generated contracts, deeds, title records, surveys, correspondence, photographs, expert reports, court filings, property records, legal research, and years of communication history. Attorneys and paralegals were spending significant time locating relevant information, building timelines, comparing documents, and manually summarizing evidence before substantive legal analysis could even begin.
JanBask designed and deployed PROPERTYIQ AI — a custom legal matter intelligence solution that combines generative AI, document analysis, natural language processing, enterprise search, and workflow automation to help attorneys find relevant information, organize evidence, build case timelines, and prepare property dispute matters faster. Attorney review remained central to every legal conclusion and strategic decision.
A custom generative AI assistant that lets attorneys ask questions about ownership history, contracts, deeds, disputed boundaries, correspondence, filings, evidence, and matter activity in plain English.
AI organizes new property dispute matters by dispute type, parties, property details, ownership claims, key dates, available documentation, and missing information for attorney review.
Deeds, contracts, title records, surveys, filings, emails, reports, and supporting evidence are classified and indexed so legal teams can locate relevant information without manually opening every file.
AI extracts dates, transactions, communications, filings, property events, and other matter milestones into structured timelines that attorneys can verify and refine during case preparation.
Attorneys can search case documents by meaning rather than exact filenames or keywords — helping surface ownership references, conflicting statements, property descriptions, and related evidence faster.
Connects document management, CRM, matter-management, email, and internal data sources so attorneys can access matter intelligence through a unified AI-assisted workflow.
Performance was measured against the firm's pre-implementation property dispute workflows, including matter intake, document review, evidence organization, information retrieval, timeline creation, and attorney case preparation.
An enterprise-grade AI architecture designed for legal document analysis, property dispute intelligence, secure information retrieval, matter search, workflow automation, and scalable law firm operations. AI-generated outputs were treated as attorney-support tools and remained subject to human review before being used in legal analysis, client advice, or case strategy.
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