DraftWise: Features, Software Overview & Case Studies
Fueling innovation at the world's top firms
DraftWise is an AI-powered contract intelligence platform for law firms, applying firm precedent to drafting, review, and negotiation. It structures proprietary deal history into a queryable knowledge layer, enabling lawyers to draft, redline, and research from their own standards.
Product
DraftWise
Use cases
Contracts · Corporate & Transactional
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What DraftWise does
The platform provides a personal drafting agent that reads, redlines, and researches using firm-specific preferences and precedents. It supports review against organizational guidelines, playbooks, and checklists, and benchmarks negotiation positions against EDGAR and past deals. A legal ontology structures positions, fallbacks, and counterparty patterns. Security and privacy are built in, with data never used to train public models.
What it does
DraftWise core capabilities
Legal Ontology
Structured intelligence layer for negotiation positions and counterparty patterns.
Draft
Drafting agent that redlines and researches from firm precedent.
Review
Applies past deal patterns and playbooks to contract review.
Negotiate
Compares terms against past deals and EDGAR benchmarks.
Technical specifications
- GenAI-powered
- SOC 2 Type II certified
- ISO 27001 certified
- GDPR compliant
- DMS permissions mirroring
- EDGAR benchmarking
- Data does not train public models
Who it is for
Who DraftWise is built for
Target audience
- Large Law Firm
- Mid-Sized Law Firm
Case studies
Verified customer results
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Trust & compliance
DraftWise security at a glance
Security certifications
DMS permissions mirroringEncryptionNamed enterprise customers
Pricing details
DraftWise pricing
Starting price
Pricing model
Free version
Product videos & screenshots
See DraftWise in action
Product interface
DraftWise Interface
Comparisons
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Transparency
DraftWise sources
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FAQs
Frequently asked questions about DraftWise
No. DraftWise states that customer data never trains public models, treating privacy as a core design principle. The platform is built so that firm precedent remains private and under the firm's control, with DMS permissions mirrored to maintain existing access controls.
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