Arbitration

Evidence and Exhibit Tracking

Vilulia Arbitrate supports evidence and exhibit management through the case record. A dedicated Evidence tab is coming soon; exhibits are currently uploaded through the Documents tab and organized by naming convention. AI tools can summarize individual exhibits and build a chronological timeline from the case record — helping arbitrators navigate large evidence sets efficiently.

What you'll learn

  • How to add exhibits to a case
  • How to use AI to summarize a specific exhibit
  • How to generate a chronological case timeline
  • How to use AI evidence analysis to assess exhibit weight

Adding exhibits

A dedicated Evidence tab is coming soon. Exhibits are currently uploaded through the Documents tab of the case record. Include the exhibit number or label in the document name (e.g., "Exhibit A-1 — Employment Contract") to keep the exhibit log organized. Documents are stored with S3 server-side encryption and associated with the case record. The AI tools described below work from all documents on the case regardless of how they were uploaded.

AI evidence summarization

The Summarize Evidence AI tool (Professional and above) condenses a single exhibit into its key facts and arguments. You provide the document text, and optionally the document name and type (contract, correspondence, etc.). The tool returns a structured summary highlighting what is most relevant to the arbitration.

AI timeline construction

The Construct Timeline AI tool extracts dates and events from all case documents and builds a chronological timeline. You can provide additional events not captured in the documents, and choose whether to include procedural events (the default is to include them). The resulting timeline gives the arbitrator a clear picture of the sequence of events underlying the dispute.

AI evidence analysis

The Analyze Evidence AI tool evaluates the evidence in the record as a whole, flagging which exhibits are likely to carry the most weight and which may face credibility challenges. This analysis runs at the case level and does not require selecting individual documents.

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