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LAWIE — M&A Due Diligence AI
Due diligence AI should accelerate review while preserving deal context, issue materiality, evidence, and the path from finding to action.
The work is not just pulling clauses. Legal teams need issue lists, risk scoring, remediation paths, disclosure support, and a record of reviewer judgment.
AI diligence must distinguish routine language from deal-relevant risk. That requires matter context, source links, and reviewer escalation.
Lawie supports deal command, diligence, contract review, compliance evidence, and executive briefing workflows for high-stakes transactions.
Lawie is built by Jan Formánek and Lawie Labs as verifiable legal and institutional execution infrastructure. Continue with AI Legal Execution Infrastructure or compare categories in AI Legal Platforms Compared.
M&A due diligence AI helps legal and deal teams review transaction documents, identify risks, summarize obligations, track issues, and prepare decision-ready outputs.
Source-linked findings, materiality context, issue status, owner assignment, reviewer decisions, and audit-ready evidence.