Our Solutions

Strategic consultants, experts in accelerating change for business and individuals.

Common AI & Technology Foundation (Reused Across Both Solutions)

Shared Data Ingestion & Normalization Layer

Both solutions rely on the same ingestion framework to:

Pull data from public legal sources, portals, and repositories
Normalize unstructured or semi-structured content (HTML, PDFs,
court pages, filings)
Maintain source traceability and timestamps for auditability

This layer is reused regardless of whether the input is:

Court case records (E-Court BGV)
Patent filings / regulatory documents / legal notices (other solution)

Shared AI Matching & Intelligence Engine

At the heart of both solutions is a common AI matching engine, reused without retraining from scratch.

Reused AI capabilities include:

Text embeddings for semantic similarity
Intelligent entity resolution (names, organizations, references)
Confidence scoring and ranking of results
Noise reduction and false-positive minimization

The same engine that:

Matches candidate names across court jurisdictions also matches:
Inventions, claims, or entities across patent or regulatory databases

Only the matching thresholds, prompts, and domain rules change.

Reusable Vector Search & Retrieval Layer

Both solutions use the same vector-based retrieval pattern:

Documents are embedded once
Stored in a scalable vector database
Queried in real time using semantic similarity

This enables:

High-accuracy discovery even with incomplete or variant inputs
Faster results compared to keyword-only searches
Consistent explainability across domains

Shared Review, Evidence & Audit Framework

A critical common component is the audit-ready verification framework, reused as-is:

Evidence attachment & source referencing
Confidence scores and decision tagging
Manual review workflows (human-in-the-loop)
Immutable audit logs

Whether the output is:

or

the review, validation, and defensibility model remains identical.