How LOIS for Word continuously improves through redlines, user feedback, and precedent learning so the AI stays aligned with your team’s evolving standards.
LOIS for Word gets smarter as your team works. Every time you redline a clause, flag strong fallback language, or upload a precedent, the system learns from it—without ever modifying your playbook. This learning improves future reviews, sharpens redlines, and makes Composer more accurate and context-aware.The result: faster, more consistent negotiations that reflect your voice and legal posture.
Use this toggle in Microsoft Word to instantly flag a redline as a strong fallback. It lives directly under every AI-suggested redline.When you turn Learn from on:
The redline is saved as a precedent
Clause context and contract type are preserved
The system can reuse it in similar situations
Your base playbook remains untouched
Best for: Fallbacks you’d want reused by a junior lawyer or across similar deals.
Manually save any redline—whether suggested by AI or written by a human—into your knowledge base. You can do this directly from Word or from the Admin dashboard.Saved redlines:
Improve Composer’s ability to draft better fallback suggestions
Reflect your tone, structure, and preferred risk posture
Become part of a shared org memory—no playbook edit required
Best for: Capturing high-quality redlines during active negotiations without interrupting your workflow.
Upload redlined agreements to jumpstart your knowledge base. LOIS for Word extracts and learns from edits, comments, and clause variations.You can upload:
Marked-up NDAs, MSAs, vendor contracts, etc.
Internal fallback guidance docs
Clean templates with sample comments or tracked changes
Uploaded precedents:
Help LOIS for Word recognize patterns faster
Improve issue spotting and clause matching
Are stored as contextual learning—not formal rules
Best for: Rapid onboarding or seeding the system with past negotiation history.
Playbooks are the foundation—but precedent learning makes them powerful. LOIS for Word doesn’t just match rules; it adapts to how your team negotiates in the real world.
Learn from live redlines as you work
Capture feedback and fallbacks on the fly
Train the system passively through your actual deals
Scale your review process without losing control
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Responses are generated using AI and may contain mistakes.