GC AI powers legal workflows for 1,500 companies, saving lawyers 14 hours a week with Claude
In-house legal teams face a persistent ratio problem where each lawyer supports dozens of stakeholders with competing deadlines, and early AI tools required significant manual prompting and cleanup before outputs were usable, limiting practical value for busy legal teams.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Lawyer submits legal input
Lawyers typically start by bringing a legal question, issue, contract, or document into the platform.
Tools used
Claude SonnetOpus
Outcome
In-house legal teams using GC AI save an average of 14 hours per week, with a 14% reduction in outside counsel spend and 21% greater accuracy on legal tasks compared to general-purpose AI tools. One team absorbed a 30% increase in deal volume without adding costs to the legal team.
What failed first
Before GC AI's current approach, legal AI systems required more manual prompting and editing to reach a useful result, and outputs often needed significant cleanup before they were ready, which limited practical value and failed to save time for lawyers.