The Cost of Getting Redlining Wrong
Why AI-Assisted Redlining Software Catches What Manual Review Misses
When legal teams review counterparty agreements manually, inconsistencies don't just slow deals down — they create risk that compounds over time. Deviations from standard positions go undetected, preferred terms get traded away under deadline pressure, and by the time a problematic clause surfaces, it's already signed. LinkSquares eliminates that exposure before it becomes a liability.
Prevent costly renegotiations and contract disputes with clause deviation detection that catches inconsistencies before they become signed liabilities
Protect your organization's risk posture by ensuring every reviewer enforces the same standards — not just the most experienced one in the room
Reclaim hours of high-value attorney time every week by eliminating the manual review and legal playbook enforcement that AI-assisted redlining can complete in minutes

What Changes When AI Takes the First Pass
How AI-Powered Redlining Cuts Contract Review From Hours to Minutes
LinkSquares customers describe a before-and-after that's hard to overstate. What used to be a multi-hour review — clause by clause, version by version — is now a minutes-long review of AI-generated redlines and deviation flags, all grounded in your organization's specific playbook. One customer described it plainly: a fully redlined contract with suggested language ready in under two minutes.
Reduce deal cycle times significantly by replacing multi-hour manual reviews with AI-generated redlines based on your exact playbook
Eliminate hallucinated or inaccurate suggestions with a dual-model architecture that detects issues before generating replacement language
Give your team back the time to focus on negotiation strategy — not hunting through documents for counterparty changes
Contract Redlining That Scales Across Your Organization
Enforce Contract Redlining Standards Across Legal, Sales, and Procurement
The contracts your sales, procurement, and finance teams touch every day carry the same risk exposure as the agreements your attorneys review. LinkSquares empowers non-legal teams to handle first-pass reviews safely —with legal playbook enforcement based on your company policy so nothing gets approved outside your standards. The result is faster deal cycles, consistent outcomes, and a legal team focused on work that actually requires legal judgment.
Accelerate deal close rates by empowering non-legal teams to handle first-pass reviews without introducing risk or bypassing oversight
Ensure the right stakeholders approve the right terms — CFO approves liability caps, IT reviews data security — without reading the full agreement
Eliminate version chaos and context switching by keeping the entire redlining workflow inside Microsoft Word via the LinkSquares Add-In

Contract Redlining FAQs
AI contract redlining software automatically compares incoming agreements against your organization's preferred positions, flags clause deviations, and proposes edits — replacing the manual, line-by-line review process with an AI-driven first pass that takes minutes instead of hours.
LinkSquares automated contract review and redlining software uses a proprietary dual-model architecture — legal-trained predictive AI to detect issues and generative AI to draft replacement language. It ingests your playbook and clause preferences, then surfaces deviations and proposed redlines directly within Microsoft Word.
Yes. LinkSquares enforces legal guardrails automatically, so sales and procurement teams can handle first-pass reviews without introducing risk or bypassing approved positions.
LinkSquares' architecture separates issue detection from clause generation, which prevents the AI from fabricating risks or hallucinating clauses — consistently outperforming generic LLMs in accuracy for enterprise legal teams looking for contract markup accuracy.
Yes. The Microsoft Word Add-In allows teams to access in-flight agreements, apply AI-generated redlines, and sync versions back to the platform — all without leaving Word.