chronology

To build a litigation chronology from disclosure documents, the Skill extracts dated events from production sets and merges duplicates while tagging each entry by significance to your matter theory. It outputs a working timeline with source-first attribution.

A privilege posture gate in evidence extraction enforces review guardrails during chronology building by classifying document sets as A-cleared, B-mixed, or C-aborted. It applies per-entry privilege flags to maintain legal privilege compliance.

Yes, you can create a statement of facts from case theory documents. The Skill builds matter-centric timelines from a matter.md case theory file and outputs optional statement-of-facts or witness-specific variants alongside the working chronology.

The best way to generate CPR timelines from emails and PDFs is using evidence-first event extraction that processes these file types directly, records document sources for every entry, and formats the output with OSCOLA-ready citations.

Yes, the chronology Skill handles gap detection by stopping when source coverage is thin or inaccessible. Instead of guessing missing events, it reports coverage gaps to maintain traceability and defensibility in the litigation timeline.

Significance tagging for claimants and defendants works by evaluating extracted events against the matter theory's pivot fact and key facts, assigning visual tags (🔴/🟡/⚪) to indicate each entry's relevance and advocacy weight.