AI-Powered M&A Due Diligence Research
For law firms conducting M&A due diligence. Search across 100K+ documents instantly. 75% faster due diligence, 40% more issues identified.
M&A lawyers, corporate counsel, and due diligence teams who need to rapidly analyze large document sets during transaction timelines
M&A due diligence requires reviewing millions of pages under tight deadlines. Critical risks are missed due to time pressure and document volume
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Why Mixpeek
75% faster due diligence completion, 40% more material issues identified, and comprehensive coverage of all documents
Overview
M&A timelines compress while document volumes grow. This use case shows how Mixpeek enables thorough due diligence at transaction speed.
Challenges This Solves
Document Volume
Data rooms contain 100K-1M+ documents
Impact: Cannot read every document in deal timeline
Time Pressure
Exclusivity periods limit review time
Impact: Rushed review misses material risks
Format Variety
Contracts, financials, correspondence, technical docs
Impact: Different expertise needed for different content
Risk Identification
Must find needles in haystacks
Impact: Material issues hidden in routine documents
Implementation Steps
Mixpeek analyzes all data room documents, extracts key terms and risks, enables semantic search, and flags material issues for attorney review
Ingest Data Room
Process all due diligence documents
await client.buckets.connect({collection_id: 'dataroom-project-atlas',bucket_uri: dataRoomUri,extractors: ['document-parser', 'contract-analysis', 'financial-extraction', 'entity-extraction'],settings: { categorize: true, extract_key_terms: true }});
Run Issue Spotting
Automatically identify material risks
const issues = await client.duediligence.spotIssues({collection_id: 'dataroom-project-atlas',issue_types: ['change_of_control', 'material_contracts', 'litigation', 'ip_ownership', 'employee_matters', 'environmental']});
Enable Attorney Research
Support deep-dive on specific topics
const research = await client.retrieve({collection_id: 'dataroom-project-atlas',query: { type: 'text', text: 'all contracts with non-compete or exclusivity provisions' },return_fields: ['content', 'extracted_terms', 'source_document', 'page']});
Feature Extractors Used
Retriever Stages Used
Expected Outcomes
75% faster review completion
Due Diligence Speed
40% more material issues identified
Issue Detection
100% of documents analyzed vs sample review
Coverage
3x more deals per attorney
Attorney Productivity
50% reduction in post-close discoveries
Deal Confidence
Frequently Asked Questions
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Ready to Implement This Use Case?
Our team can help you get started with AI-Powered M&A Due Diligence Research in your organization.