Contract review
Classify documents, summarize key terms, identify missing clauses, and route exceptions for human review.
Legal document intelligence
Turn contract review into a governed, searchable, auditable workflow
DigiScience helps legal and operations teams build document intelligence for clause extraction, obligation tracking, review queues, legal knowledge search, and audit-ready evidence.
Review with accountability
The workflow surfaces clauses, obligations, risks, and source references while legal owners remain accountable for decisions.
Legal AI workflow modules
Clause extraction
Extract termination, renewal, liability, data protection, payment, jurisdiction, and obligation clauses with source references.
Legal knowledge assistant
Search across contracts, playbooks, templates, policies, and prior guidance with access control and audit trail.
Pilot success criteria
A credible pilot should measure review productivity, extraction precision, exception routing quality, user confidence, and auditability.
Document ingestion and classification
Clause and obligation extraction
Review queue and approval workflow
Audit trail and source traceability
Pilot blueprint
Data inputs
One contract family, approved templates, clause playbooks, obligation categories, policy documents, metadata, and controlled prior guidance.
Reference architecture
Document repository → secure ingestion and OCR → classification and extraction → retrieval and comparison → legal review queue → approval → source traceability and audit.
Target measures
Review time, extraction precision and recall, clause exception quality, obligation completeness, source-link accuracy, reviewer acceptance, and audit completeness.
Start with one document family and one review workflow
Expand after accuracy, source traceability, governance, security, user acceptance, and legal accountability are clear.
Discuss legal document AI