01
Connect the population
Work from source exports, file-based data, or a defined population from an existing review environment. Common legal formats are normalized while document relationships and lineage remain traceable.
How it works
From raw documents to
defensible decisions.
A controlled workflow that brings search, contextual AI, validation, and downstream review into one auditable path.
02
Reduce before review
Index the collection and apply search, filtering, and matter-specific culling. Focus generative analysis on the material that warrants deeper attention.
03
Define the legal criteria
Translate counsel’s protocol into reviewable analysis instructions covering responsiveness, issues, key documents, privilege, confidentiality, or custom classifications.
04
Choose the intelligence boundary
Use a client-approved local model, Azure OpenAI, or another authorized provider. Run inside the client environment, a controlled cloud, or an approved hosted configuration.
05
Analyze with context
Evaluate document content together with relevant communications, participants, attachments, and related material. Return decisions with explanations and supporting passages.
06
Validate and refine
Compare a representative sample against human decisions, examine disagreements, refine criteria, and document the validation process before scaling.
07
Export what matters
Send a smaller, enriched, review-ready population into Relativity Server, RelativityOne, or another downstream review workflow for focused QC and production.
What reviewers receive
Not just a tag.
A decision they can interrogate.
ClassificationRationaleSupporting passagesConsiderationsStructured metadataTraceable provenance
HUMAN OVERSIGHT
Built to be validated.
Designed to be defended.
LawgicPro supports a familiar legal-technology discipline: sample, compare, investigate disagreement, refine, and document. Attorneys remain responsible for the governing criteria and final legal decisions.
Private demonstrations