USE CASES
Legal Due Diligence Decision Flow (ViewpointAI + Clarity)
Our goal: Enable structured, transparent, and thorough legal due diligence decisions by combining human expertise with AI-powered analysis.
1. Decision Criteria (Define Legal Objectives)
2. Data Capture (Build the Legal Data Room)
Purpose: Collect all relevant legal documents and information.
Human Input: Contracts, corporate governance documents, IP filings, litigation history, regulatory correspondence, licenses, and compliance reports.
Clarity’s Role: Extracts and standardizes data from unstructured documents, identifies missing or inconsistent information, flags potential risks, and integrates external legal and regulatory intelligence.
Output: Centralized, AI-enhanced legal data room ready for evaluation.
3. Decision Making (Evaluate & Rank Legal Risks)
Purpose: Assess legal matters against defined criteria.
Human Input: Evaluate qualitative factors such as risk severity, precedent, and transaction impact.
Clarity’s Role: Scores and ranks risks, highlights critical issues, models potential outcomes, and assesses the implications for the transaction or corporate action.
Output: Ranked list of legal risks with clear rationale and recommendations for mitigation or further review.
4. Decision Reporting (Transparency & Verification)
Purpose: Document and communicate the legal due diligence findings and recommendations.
Human Input: Approve final assessments and provide contextual notes for leadership, investors, or transaction parties.
Clarity’s Role: Automatically generates a report showing criteria applied, weighted scores, risk assessments, recommendations, and supporting documentation.
Output: Transparent, auditable report suitable for legal teams, executives, investors, or regulatory review.
Core Capabilities Throughout
Human: Legal expertise, judgment, contextual understanding, risk assessment
AI (Clarity): Data extraction, scoring, ranking, risk modeling, scenario analysis
Collaboration: Legal teams, advisors, and stakeholders can review criteria and provide input
Analysis: Identify trends, high-risk areas, compliance gaps, and potential liabilities
Reporting: Automated documentation ensures transparency, accountability, and traceability
Clarity’s role: Acts as an AI co-pilot throughout the legal due diligence process — guiding criteria definition, analyzing documents, highlighting risks, modeling scenarios, and generating transparent reports — while humans make the final legal decisions.
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