It’s easy to lose sight of your agreements post-signature, and manually tracking critical data points like renewal dates, change of control provisions, payment terms, etc. can be time consuming and error prone. And when you’re working on major business projects like a merger or acquisition, or determining regulatory compliance, you don’t have the luxury of time or inexact data.
With Relativity Contracts, Sift can turn your agreements into structured data that will help you mitigate risk, maximize revenue, and future-proof your policies.
Capitalize on AI
Expedite your review and get to results faster with AI-enabled contract analysis. Free up internal resources to spend time on more value-add activities and decrease overall project cost by leveraging machine learning for first-pass review.
Maximize Revenue
Identify topline revenue leak from things like scope creep, outdating pricing, overdue payments, or excessive rebates. Uncover mismatches in contract terms and vendor actions and take full advantage of your pricing entitlements and supplement your supplier governance.
Mitigate Risk
Weaknesses or exposures across business units,
regions, and whole populations of agreements are hidden without a portfolio-level view of risk. Manage regulatory compliance for CCPA, GDPR, Brexit, Schrems II, LIBOR, force majeure clauses, and more.
Future-Proof Policies
Most modern legal departments use some form of playbooks or policy guides to inform what positions their negotiators can agree to, but they’re still blind on how effective they are at following those playbooks. Identify what you’ve agreed to across the organization and ensure you’re adding terms and conditions that will make you the most successful.
Common Use Cases
1
Regulatory Response
• LIBOR/IBOR
• CCPA
• Schrems II
• Brexit
• California Assembly Bill (AB5)
• International Financial
Reporting Standard 16 (IFRS-16)
• Data Security and Usage Rights
2
Corporate Transactions
• Mergers & Acquisitions
• Divestitures
• Post-Merger Integration
• Enterprise Improvement
• Bankruptcy & Restructuring
3
Contract Data Management
• Supply Chain Management
• CLM Migrations/Rollouts
• Post-Signature Contract Data
Management
• Vendor/Contractor Management
• Portfolio Risk Assessments
• Commercial Lease Reviews
• Continuous Playbook
Improvement
Key Capabilities:
• Utilize machine learning and custom models to find patterns in agreements to quickly locate, extract and store critical data points.
• Automatically categorize agreements and their sections by type with pre-built classification models.
• Compare documents or sections side-by-side to quickly determine which agreements have missing clauses or differing language.
• Automate the drafting of post-review documents, such as amendments, notice letters, insurance claims, and more.