The problem

Law firms were spending significant time re-entering case information, preparing standard documents, and reviewing drafts for each matter. This slowed case workflows and increased the risk of mistakes from repeated manual input.

The solution

An AI legal-document assistant uses LLMs, structured data extraction, document generation, template automation, case-management integration, and review workflows. It converts case information into structured inputs, generates first-draft documents from approved templates, and keeps lawyers responsible for final review and approval.

Key results
  • Up to 25 hrsSaved per case
  • 40 hrs → minLegal document drafting time
  • Less manual data entry
  • Fewer accuracy issues from retyping information

Benchmarks are based on the original deployment; outcomes vary by process volume, complexity, and implementation scope. Similar workflow patterns can apply to businesses of different sizes.