
Four ways to review with AI, built to scale and adapt
Pincites (LOIS for Word) is an AI-powered contract review add-in for Microsoft Word that standardizes and accelerates the review process. It serves legal teams with playbooks, contextual drafting assistance, and precise in-place redlining, all inside the documents they already work in.
Product
Pincites
Use cases
Headquarters
United States
Last updated
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The product offers four core review modes: Playbooks for standardized checklist-based review with pass/fail rules and risk scoring; Composer for in-document assistance including risk spotting, fallback clause drafting, and legal research; Surgical Redlining for targeted in-place edits aligned to playbook concepts; and Integrations that pull live matter context and related documents from Filevine. LOIS for Word learns from user feedback, carries context across reviews, builds precedent libraries, and accumulates institutional knowledge across the organization.
What it does
Standardized review checklists with pass/fail rules and risk scoring
In-Word assistant for risk spotting, fallback clauses, and research
Precise in-place edits aligned to playbook concepts and priorities
Pull live matter context and documents from Filevine into drafting
Ask questions and get cited answers from trusted legal sources
Compare against templates to flag missing clauses and gaps
Spot hidden risks, ambiguities, and non-standard terms
Answers with accurate, verifiable comma-perfect quotes
Capture and roll prior redlines and edits into playbooks
Manage user access and editing rights across standards and playbooks
Assign risk levels to prioritize review and escalation
Who it is for
Case studies
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Pricing details
Starting price
Pricing model
Free version
Free trial available, no credit card required
Product videos & screenshots
Product interface
Pincites Interface
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FAQs
Users thumbs-down suggestions or edit outputs to adjust future results. The AI carries context across reviews, remembers formatting and drafting patterns, and saved redlines become institutional precedent. Learning accumulates across the organization, not per individual user.
Instead of delete-and-replace markups, Surgical Redlining reads counterparty language through your playbook concepts and negotiation priorities, then makes precise in-place edits producing clean, targeted markups reflecting your position.
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