Your case depends on thousands of documents. Can your team actually search them?

We build AI-powered knowledge bases that turn decades of legal documents — in English and Spanish — into searchable, queryable intelligence. Attorneys and claimants get answers in seconds instead of billing hours on manual review.

10–14 wks
Platform build timeline
EN / ES
Bilingual from day one
AWS
Enterprise-grade security
The Problem

Manual document review is the most expensive bottleneck in complex litigation.

International property claims, asset recovery cases, and complex litigation share a common challenge: the evidence is buried in thousands of documents spanning decades, languages, and formats. Deeds, correspondence, financial ledgers, government filings, handwritten notes, photographs — all of it matters, and all of it needs to be searchable.

Today, that means junior associates billing $300–$500 per hour to read documents one by one. They miss connections. They get fatigued. And they can't search across languages — a critical limitation when your case involves records in both English and Spanish.

The alternative isn't "hire more associates." It's building an AI-powered document intelligence platform that ingests every document, extracts text from scans and handwriting, indexes everything semantically, and lets your legal team query the entire collection in natural language — in either language.

Manual Review Cost
$150K–$500K+
For 10,000 documents at associate billing rates. Months of elapsed time.
AI Platform Cost
A fraction of that
Built once, available 24/7. Doesn't bill by the hour. Doesn't miss connections.
Time to First Answer
Seconds, not weeks
Query the entire document collection in natural language. English or Spanish.
Platform Capabilities

Everything your legal team needs to work with large document collections.

Each platform is built for your specific case, but the core capabilities are consistent: ingest any document, extract every detail, search by meaning, and get answers from an AI trained on your evidence.

01
Bilingual Document Ingestion
The platform processes documents in any format — scanned PDFs, typed correspondence, handwritten notes, government filings, financial records, photographs with text. OCR handles English and Spanish natively, including degraded historical documents from decades past.
  • Scanned PDFs, images, typed and handwritten text
  • English and Spanish OCR with confidence scoring
  • Tables, forms, and structured document extraction
  • Automated language detection and tagging
02
Semantic Search Engine
Search by meaning, not just keywords. Ask "show me correspondence about the property transfer in 1962" and get results even if no document contains that exact phrase. Cross-language search finds relevant Spanish documents from English queries and vice versa.
  • Concept-based search, not just keyword matching
  • Cross-language retrieval (EN ↔ ES)
  • Hybrid keyword + semantic ranking
  • Filtered search by date, type, language, entity
03
AI Case Assistant
An AI assistant trained exclusively on your case documents. Ask complex questions — "What evidence supports the ownership chain between 1955 and 1960?" — and get sourced answers with citations to specific documents and page numbers.
  • Natural language Q&A in English or Spanish
  • Every answer cites specific source documents
  • Timeline generation across document collections
  • Entity and relationship mapping
Use Cases

Built for cases where the documents are the case.

The platform is especially valuable when document volume, language complexity, or historical depth makes manual review impractical.

Property Claims & Asset Recovery

International Property Claims

Property claims involving confiscated or nationalized assets require reconstructing ownership histories across decades. Deeds, tax records, correspondence, government decrees, and family records — often in multiple languages — must be connected into a coherent evidentiary narrative. The platform makes this process systematic rather than manual.

Litigation Support

Complex Litigation Discovery

Large-scale litigation with extensive document production — regulatory investigations, securities cases, commercial disputes with long histories. The platform replaces armies of contract reviewers with searchable, AI-indexed intelligence that the entire legal team can query simultaneously.

International Arbitration

Multilingual Arbitration Evidence

International arbitration proceedings generate evidence in multiple languages and jurisdictions. Cross-language search and AI-assisted analysis eliminate the bottleneck of translating documents individually before they can be reviewed and connected to the broader case narrative.

Immigration & Insurance

Historical Record Analysis

Immigration cases with cross-border documentation spanning years, or insurance disputes requiring analysis of decades of policy records, claims histories, and correspondence. The platform surfaces patterns and connections that manual review would miss or take months to identify.

Implementation

Four phases. Working software every two weeks.

Each platform is built incrementally so you see progress throughout. No black-box development — your team is involved at every milestone.

01
Infrastructure & Security
AWS environment setup with encryption, access controls, multi-factor authentication, and audit logging. Data residency in US-based data centers. Security architecture reviewed before any documents are ingested.
Weeks 1–3
02
Document Pipeline & OCR
Ingestion pipeline processes your document collection. OCR extracts text from scans, handwriting, and forms in English and Spanish. Documents are classified, tagged, and prepared for indexing. You review sample outputs for accuracy.
Weeks 4–7
03
Search & AI Integration
Semantic search engine indexes the full document collection. AI assistant is trained on your case-specific materials. Cross-language search and natural language querying are tested against real case questions from your legal team.
Weeks 8–11
04
Interface & Deployment
Secure web interface for attorneys and authorized users. Role-based access so different team members see appropriate document sets. Final testing, user training, and deployment to production. Ongoing support as the case develops.
Weeks 12–14
Security & Compliance

Attorney-client privilege demands enterprise-grade security. That's exactly what this is.

Every platform is built on AWS with security architecture that meets the requirements of major law firms and sensitive litigation.

AES-256 Encryption
All data encrypted at rest and in transit. Documents, search indexes, and AI model data are protected by the same encryption standard used by the U.S. government for classified information.
Multi-Factor Authentication
AWS Cognito with MFA for all users. No one accesses the platform without verified identity through multiple authentication factors.
Role-Based Access Control
Granular permissions so lead attorneys, associates, paralegals, and clients each see only the documents and features appropriate to their role.
Complete Audit Trail
Every access, search, and query is logged through AWS CloudTrail. Full accountability for who viewed what, when, and from where.
US Data Residency
All data stored exclusively in US-based AWS data centers (us-east-1). No data ever leaves US jurisdiction.
Isolated Environments
Each case gets its own isolated infrastructure. No data commingling between clients. Complete separation at every layer of the stack.
Common Questions

What legal teams ask before building a document intelligence platform.

How does AI document intelligence work for legal cases?
The platform ingests documents in any format — scanned PDFs, handwritten notes, typed correspondence, government filings, financial records — and uses OCR and natural language processing to extract text and meaning. Documents are indexed in a semantic search engine, so attorneys can search by concept rather than exact keywords. An AI assistant trained on the case-specific documents answers questions, identifies connections between documents, and surfaces relevant evidence in seconds rather than hours.
Can the platform handle documents in both English and Spanish?
Yes. The platform is built for bilingual document collections from the ground up. It performs OCR and text extraction in both English and Spanish, supports cross-language semantic search — search in English, find relevant Spanish documents and vice versa — and the AI assistant responds in either language. This is critical for international litigation, property claims involving foreign jurisdictions, and cases with multilingual evidence.
What types of legal cases benefit most?
Any case with a large document collection benefits, but the platform is especially valuable for international property claims and asset recovery, complex litigation with decades of records, regulatory investigations with extensive document production, international arbitration with multilingual evidence, immigration cases with cross-border documentation, and insurance disputes involving historical records. The common thread is cases where the volume of documents makes manual review prohibitively expensive or slow.
Can the platform handle handwritten or degraded historical documents?
Yes. The platform uses AWS Textract, which handles printed text, handwritten notes, tables, and forms — including degraded or partially damaged documents. For especially difficult documents, we implement confidence scoring so the system flags materials that may need human verification. Historical documents from the 1950s and 1960s, typewritten correspondence, and handwritten ledgers are all within the platform's capabilities.
How long does it take to build, and what does it cost compared to manual review?
A typical implementation takes 10–14 weeks. For cost comparison: a junior associate at a major firm bills $300–$500 per hour for document review. For a case with 10,000 documents, manual review could cost $150,000–$500,000 and take months. The AI platform costs a fraction of that to build and operates continuously — it doesn't bill by the hour, doesn't miss details due to fatigue, and can be queried by the entire legal team simultaneously. The platform becomes a permanent asset for the duration of the case.
How is attorney-client privilege protected?
The platform is built with enterprise-grade security on AWS: AES-256 encryption at rest and in transit, multi-factor authentication, role-based access controls, complete audit trail logging, US-only data residency, and isolated environments for each case. Every component meets or exceeds the security requirements of major law firms. Your documents are never used to train general AI models — the AI assistant is trained exclusively on your case materials within your isolated environment.
Do we need existing technology infrastructure?
No. We build the complete platform from the ground up on AWS. Whether your documents are in filing cabinets, cloud storage, email archives, or a mix of all three, we handle the full ingestion process. Your team accesses the platform through a standard web browser — no special software or hardware required.
Get Started

Your documents hold the answers. Let's make them searchable.

Whether you're a law firm managing complex discovery, a claimant building an asset recovery case, or an organization with decades of records that need to be queryable — we'll build the intelligence platform your case requires.

Schedule a Consultation →
Initial Conversation
30-minute call to understand your case, document collection, and requirements. No obligation.
Typical Timeline
10–14 weeks from kickoff to deployed platform. Working software demos every two weeks.
Contact
contact@veritasdata.com
Also Available
Full AI consulting services for data strategy, platform architecture, and ML implementation.