AI-powered tracked change suggestions with confidence scoring

Smart Suggestions

Don't just find problems — fix them. Clause Labs generates tracked change suggestions for every finding, complete with confidence scores so you know which edits the AI is most certain about. Accept, reject, or modify suggestions with a single click.

92%

Suggestion accuracy

1-click

Accept / reject

DOCX

Export format

3x

Faster redlining

Overview

From finding to fix in one click.

Every risk finding in Clause Labs comes paired with a specific, actionable edit suggestion. The AI doesn't just say 'this clause is risky' — it rewrites the clause with balanced language, adds missing protections, or tightens vague terms. Each suggestion includes a confidence score (0–100%) so you can trust the high-confidence edits and spend your expertise on the nuanced ones.

  • Tracked change suggestions for every risk finding
  • Confidence scoring from 0–100% for each suggestion
  • One-click accept or reject workflow
  • Edit suggestions inline before accepting
  • Export accepted changes as a DOCX redline with tracked changes
  • Suggestions improve over time as you accept/reject patterns (Preference Learning)

How It Works

4 simple steps

1

Risk analysis identifies issues

The AI scans your contract and identifies problematic clauses, assigning each a risk level and detailed explanation.

2

AI generates edit suggestions

For each finding, the AI drafts a specific replacement clause or addition. Suggestions are designed to be balanced, legally sound, and appropriate for the contract type.

3

Review with confidence scores

Each suggestion shows a confidence score. High-confidence suggestions (85%+) are near-certain improvements. Lower-confidence suggestions may need your legal judgment.

4

Accept, modify, or reject

Accept suggestions with one click, edit them inline, or reject and write your own. Accepted changes are compiled into an export-ready redline document.

Benefits

Why Smart Suggestions

One-click edits

Accept a suggestion with a single click. No copying, pasting, or reformatting. The change is applied instantly to your redline.

Confidence scoring

Know which suggestions the AI is most confident about. Trust the 95% suggestions and focus your expertise on the 60% ones.

DOCX export

Export your redline as a Word document with tracked changes. Opposing counsel sees professional redline markup, not AI output.

Learning system

Your accept/reject patterns teach the AI your preferences. Over time, suggestions align more closely with your review style.

Balanced language

Suggestions aim for commercially reasonable, balanced language — not one-sided drafting. Appropriate for both sides of a negotiation.

Inline editing

Modify any suggestion before accepting. Use the AI's draft as a starting point, then refine with your own language.

Use Cases

Built for how you work

Associate Attorney

A junior associate is tasked with redlining a 30-page MSA overnight. They need to produce professional tracked changes by morning.

Outcome

Uploads the MSA, reviews 18 suggestions in 20 minutes, accepts 14, modifies 3, rejects 1. Exports a clean DOCX redline by 10 PM.

Contract Manager

A contract manager processes 50+ vendor agreements per month. Each needs standard adjustments to liability caps and indemnification.

Outcome

Creates a custom playbook with preferred language. Smart Suggestions consistently recommend the company's standard positions, reducing review time by 70%.

General Counsel

GC needs to review a strategic partnership agreement but wants to delegate initial redlining to save time for high-level negotiation strategy.

Outcome

Has the associate run Clause Labs first. Reviews the AI suggestions as a starting point, accepting the straightforward fixes and focusing GC time on the business-critical terms.

Platform Integration

Works with everything else

Smart Suggestions are generated from AI Risk Analysis findings and improved by Preference Learning. Save your best suggestions to the Clause Library for reuse. Export accepted changes as DOCX tracked changes. Use Playbooks to control the style and tone of generated suggestions.

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