LegalOn
LegalOn uses AI-powered contract review built by lawyers to streamline legal workflows directly in Microsoft Word.
About LegalOn
LegalOn transforms contract review by embedding intelligent AI analysis directly into Microsoft Word, the tool legal teams already use daily. Built by lawyers and powered by advanced machine learning, the platform automatically identifies risks, inconsistencies, and missing clauses by comparing contracts against pre-built or custom playbooks. This eliminates manual document marking and significantly reduces the time spent on routine contract analysis.
The platform offers over 50 pre-built playbooks covering common contract types, allowing teams to start reviewing immediately without setup delays. For organizations with unique requirements, custom playbooks can be created to match specific business rules, negotiation standards, and risk tolerances. This flexibility ensures LegalOn adapts to your legal framework rather than forcing your processes into generic templates.
Security and compliance are built into the foundation. LegalOn maintains SOC 2 Type II, GDPR, and CCPA certifications, protecting sensitive contract data and ensuring regulatory adherence across jurisdictions. Legal teams can confidently handle confidential agreements knowing their information meets the highest industry standards. By reducing review cycles and minimizing human error, organizations accelerate deal closure while improving contract quality and consistency across their portfolio.
Features
- AI-Driven Contract Review: LegalOn utilizes advanced AI, built by lawyers, to review and redline contracts based on pre-built or custom playbooks.
- Integration with Microsoft Word: Directly accessible within Microsoft Word, facilitating an easy and familiar workflow for legal teams.
- Custom Playbooks: Offers over 50 pre-built playbooks while also providing the option to create custom playbooks tailored to specific business needs.
- Security and Compliance: Adheres to SOC 2 Type II, GDPR, and CCPA compliance, ensuring data security and privacy.
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