Structure your case.
Then accelerate with AI.
EqualAIzr turns raw matter material into traceable legal intelligence — registry, evidence, chronology, intelligence mesh, grounds analysis, and controlled drafting.
Demo data in workspace · Auth flows are illustrative
Documents
48
Ingestion
Evidence
112
Ledger
Registry
78%
Complete
Functional scope
Capabilities that stay on the chain
Upload → extraction → registry → evidence and threads → triangulation and grounds → AI and drafts. Every surface reflects that operating model.
Case workspace
Create matters with phase, jurisdiction, and health metrics. Switch cases without losing context.
Document ingestion
Immutable originals, parsing, DOC-IDs, forensic flags, and a clear intake state machine.
Document registry
Full 15-column operational layer — structured fields plus narrative analytical columns 9–15.
Evidence ledger
Evidence with uncertainty labels and links to documents, extracts, actors, events, themes, and grounds.
Actor registry
Verified people and entities with aliases, verification logs, and merge-safe consolidation.
Chronology
Master and thematic timelines with date precision, filters by actor, document, theme, and ground.
Intelligence mesh
Threads, triangulation, contradictions with human confirmation before finalisation.
Grounds & opponent
Grounds strength, counter-evidence, and structured opponent modelling — predictions clearly labelled.
AI assistance
Summarise, extract, analyse, challenge, explain, and draft — grounded, phase-aware, DND-respecting.
Draft & export
Traceable drafts, versioning, export packs with deployment safeguards.
Audit & security
Material actions logged, permissions separated, row-level security as a core design.
User journey
Structured case model first
EqualAIzr is not “upload and chat.” It is build the structured case model, then use AI and drafting on top — with progressive disclosure so dense work stays usable.
Create case & ingest
Open a workspace, set phase and jurisdiction, upload PDFs, DOCX, email, and images. The system assigns DOC-IDs, extracts metadata, and runs forensic checks while originals stay immutable.
- Case dashboard & phase
- Seven-step intake
- Forensic flags visible early
Registry & evidence
Complete the 15-column registry as the control layer. Build the evidence ledger and actor registry with uncertainty and source traceability before heavy intelligence work.
- 15-column narratives
- Evidence uncertainty
- Actor verification
Mesh, AI & outputs
Develop chronology, threads, triangulation, and contradictions. Map grounds and opponent positions. Use structured AI modes, then Draft Studio and exports with DND and audit.
- Chronology & threads
- Six AI modes
- Drafts & export packs
Product principles
How EqualAIzr is meant to behave
Taken from the functional requirements definition — these constraints shape UX, engineering, and delivery.
Structure before AI
AI accelerates a structured evidence and case model — it does not replace disciplined intake, registry work, or human confirmation.
Traceability by design
Analytical statements, drafts, contradictions, and inferences point back to source material and extraction provenance.
Human-confirmed intelligence
Themes, contradictions, and predictions can be suggested — sensitive case intelligence stays explicitly confirmed by users.
Operational seriousness
Built for live litigation and quasi-judicial matters: reliability, auditability, permissions, and DND deployment rules.
Low-overwhelm design
Complexity is exposed progressively so dense tables, mesh views, and dashboards stay usable for long professional sessions.
Explore the workspace
Open the demo matter: case dashboard, 15-column registry, evidence, chronology, intelligence mesh, AI modes, drafts, and Super Admin shell — aligned to the EqualAIzr requirements document.
Illustrative auth · No live backend in this demo