Cicero is an AI-powered matter analysis platform for disputes and litigation. The platform is designed to assist litigators and their teams in processing and structuring large document sets, enabling faster fact analysis while preserving lawyer oversight and control over all outputs.

Key features and functions include:

Pleading Analysis Cicero extracts allegations from a Statement of Claim and maps each to the corresponding response in the Defence, producing a complete pleadings matrix. Outputs are generated in minutes and are editable within the platform.

Chronologies and Timelines The platform generates first-draft chronologies drawn from thousands of source documents. Entries can be filtered by allegation or issue, and exported as tribunal-ready schedules of evidence in Word or Excel formats.

Cross-Document Investigation Users can run queries across hundreds of thousands of files in a single search to locate documents supporting or contradicting a case theory. Results are returned with relevance scoring and source traceability.

Extractions and Coding Legal teams define the data points relevant to a matter, and Cicero codes those fields across contracts, witness statements, correspondence, and other documents at scale. Structured outputs can be exported or pushed back into document review platforms.

Evidence Matrices Cicero evaluates propositions against the full document set, identifying supporting evidence, contradictions, and gaps. Each matrix entry includes source citations and is auditable and editable by the reviewing lawyer.

Dramatis Personae The platform identifies every individual referenced across the document set and maps each by role, relationship, and relevance, including tracking where an individual's account diverges from another's across documents.

Human-in-the-Loop Workflow All AI-generated outputs are designed as starting points subject to lawyer review. Legal teams can edit chronology entries, reclassify extractions, and verify evidence links before exporting finalized work product.