Legal Contracts Co-Pilot
Speeds contract review, flags risky clauses, and generates structured summaries for faster decisions.
Trusted by
Built on industry-proven NLP and document-intelligence approaches used by major firms; follows auditable extraction and checklist logic for transparent results. (Bloomberg)
Success Story
JPMorgan processed 12,000 commercial credit agreements/year, cutting ~360,000 review hours to seconds using COIN NLP-based contract analysis.
Integrates with
Problem
Teams waste hours on repetitive first-pass reviews: locating key clauses, normalizing data, and surfacing risky language. High document volumes (M&A, procurement, portfolio reviews) cause slow decisions, bottlenecks, and inconsistent risk scoring.
Solution
Legal Contracts Co-Pilot automates the first pass: OCR + NLP extracts clause-level data, applies configurable checklists and risk rules, ranks contracts by priority, and produces structured reports — delivering consistent, auditable outputs for downstream review.
Result
Faster turnaround on first-pass reviews, fewer manual hours spent on routine checks, repeatable risk scoring, and clearer hand-offs to senior counsel. Typical outcomes: 50–90% time savings on first-pass reviews depending on complexity and setup.
Use Cases
Legal Contracts Co-Pilot performs an automated first-pass review of contracts and large document sets. It extracts parties, dates, notice periods, auto-renewals, indemnities, governing law, and non-standard clauses; ranks contracts by risk and urgency; generates concise executive summaries and checklists; and produces downloadable structured reports (CSV/JSON). Designed for in-house legal, procurement, M&A diligence, and commercial teams, the agent reduces routine manual work so lawyers focus on negotiation and strategy. Integrates into document storage and e-sign workflows to accelerate review cycles and improve compliance visibility.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Discovery & sample dataset ingestion
1 weekGather representative contract samples and metadata to understand document structure, clause patterns, and compliance goals. Configure secure data ingestion and preprocessing pipeline.
OCR and extraction mapping setup
1 weekDeploy OCR (Tesseract / Azure Vision) for scanned documents. Establish extraction templates and NLP mappings for key fields such as parties, dates, obligations, and risk clauses.
Risk Rules & Checklist Configuration
1 weekDefine legal risk detection logic, red flag triggers, and custom checklists (e.g., indemnity, jurisdiction, liability caps). Map them to client-specific policy rules for automated evaluation.
Pilot Batch Review and Tuning
1-2 weeksRun a pilot with real contracts to validate accuracy, tune extraction models, and optimize risk scoring thresholds. Collect feedback from legal reviewers and adjust configurations.
Integration with Storage, Notifications & Reporting
1 weekConnect with existing systems such as SharePoint, Google Drive, or internal DMS for file storage. Set up automated notifications, dashboards, and summary reports for management.
Handover, Training & Production Rollout
1 weekProvide full operational handover, team training sessions, and documentation. Transition from pilot to live production with ongoing monitoring and SLA-based support.
Support Included
Comprehensive documentation with step-by-step workflow setup, API configuration guides, integration instructions. Optional onboarding call and email support during the launch phase.
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