Litera on-demand webinar: From redline to review: When knowing what changed isn’t enough
A 30-minute session on how redlining has evolved from a standalone task into a complete contract review workflow.
In-house teams are under pressure to review more contracts with the same headcount, and today an accurate redline on its own is no longer enough.
Knowing what changed demands total accuracy, and a general-purpose AI tool can read a redline well yet still miss the one clause that matters. Knowing what it means, whether it carries risk, and whether you have agreed to it before is where the real work sits, and where Legal AI helps.
The Litera In-House Base package brings both together in one workflow across Word, Outlook, the desktop, and the web: verified redlines from the comparison engine trusted by 71% of the legal market (ILTA Tech Survey), and Lito, our award-winning AI Legal Agent, working only on those verified results to summarise changes, flag risk, suggest language, and run playbooks against your team’s accepted positions.
Because Litera serves both in-house teams and their outside counsel, the same AI standards span both. Your firms likely already use it.
You’ll Walk Away Knowing How To:
- Get a verified redline wherever you work: Produce an accurate, deterministic redline in Word, Outlook, on the desktop, and on the web, from single to bulk comparisons, so you start every review from a result you can trust, not a best guess.
- Run contracts against your team’s playbook: Build a playbook of your team’s accepted positions and fallbacks, then run incoming contracts against it to see exactly where they deviate, answering “have we agreed to this before?” without searching email or asking a colleague.
- Review from insight, not line by line: Let Lito summarise what changed and what it means so you move straight to judgment rather than reading every redline manually, reclaiming time for the advice that moves the business.
- Spot and address risk as you review: Surface risky changes and get proposed clause language from Lito as you work, so issues are flagged and addressed in the same workflow, not in a separate pass.
Watch on-demand here
