Opine Law

Opine Law is an AI legal research and drafting platform designed for litigators and legal professionals engaged in substantive legal analysis. The platform takes matter-specific inputs — including legal questions, case documents, and strategic considerations — and produces drafted work product grounded in primary legal sources, with citations linked directly within the interface.

Key features and functions include:

Legal Research Grounded in Primary Sources
Opine researches both case law and enacted law before producing output. The platform identifies controlling precedent, binding statutes, and the relationships between authorities before moving to drafting, and each response includes precise citations with direct links to the underlying documents.

Proprietary Legal Knowledge Graph
The platform is built on a proprietary knowledge graph that maps relationships, hierarchies, and dependencies across legal authorities. This architecture is designed to surface connections between points of law simultaneously, rather than retrieving documents sequentially, enabling analysis that reflects how bodies of law interrelate.

Document Drafting from Case Materials
Users can upload case documents — including complaints, motions, briefs, and transcripts — which Opine reads, organizes, and reasons over to produce drafted work product. The research, analysis, and drafting functions operate as a single continuous workflow.

Strategy Evaluation and Advisory Writing
The platform supports evaluation of legal strategies by surfacing relevant controlling authorities, identifying counterarguments, and weighing alternatives. It can also produce advisory legal pieces and analytical memoranda across the lifecycle of a matter.

Citation Verification
Opine offers a citation review function — referred to as a Citation Report or Cite Report — that checks whether cited authorities support the propositions they are cited for. Because the platform is grounded in primary law, it is able to identify citations that are outdated, misapplied, or otherwise not on point.

Chat Interface with Rapid Response
Users interact with the platform through a natural language chat interface. Typical query response time is under one minute, returning integrated, citation-anchored analysis tied to controlling authority.