Why This Matters
- Manual review of contracts is slow and inconsistent
- Legal teams need to catch clause changes, missing signatures, and incomplete sections
- Strikethroughs, initials, and checkboxes are easy to miss at scale
How Tensorlake Helps
- Extracts structured fields like party names, dates, and key terms
- Detects signatures and strikethroughs
- Outputs bounding boxes for visual validation or redlines
- Orchestrates routing logic based on missing data, unusual clauses, or sign-off status
Looking to automate redlining or clause review? Start in the Playground or get help in Slack.