AI-powered contract review skill with CUAD risk detection, market benchmarks, and lawyer-ready redlines. Works with Claude Code, Codex, Cursor, and 26+ tools.
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Updated
Feb 20, 2026
AI-powered contract review skill with CUAD risk detection, market benchmarks, and lawyer-ready redlines. Works with Claude Code, Codex, Cursor, and 26+ tools.
A mapping between SDCs M&A database and the gvkey's in Compustat
Legal flags a risk. Finance flags another. We connect and cite. Open-source forensic M&A due diligence: 13 AI agents read your data room across 9 domains (Legal, Finance, Commercial, Tech, Cyber, HR, Tax, Regulatory, ESG), cross-reference findings no single reviewer connects, and trace every one to an exact page & quote.
SAMAR is an AI-driven tool designed to automate research and analysis processes for mergers and acquisitions (M&A), facilitating the generation of comprehensive reports. By leveraging advanced artificial intelligence techniques, SAMAR streamlines tasks such as data collection, financial modeling, and risk assessment.
Predicting merger decision outcomes of the European Commission: A Natural Language Processing and Machine Learning approach
A curated list of awesome acquisitions happened. Free feel to add more.
Script to set AutoResponder inbox rule on an Exchange mailbox. This can be used to inform relations and partners sending messages to support mergers, acquisitions or rebranding.
Events study: Kalman filter and neural network applications with a case study on M&A price run-ups
🏛️ A curated collection of the best resources, tools, books, podcasts, data providers, courses, and communities for Private Equity professionals.
Cultural Due Diligence 2.0 - Winner Qloo LLM Hackathon 🏆
Your AI ECM / IB analyst squad for M&A and IPOs
Hypothetical Monopoly Test
M&A Leadership Simulator puts players in the seat of a leader navigating the human side of a merger — integration decisions, cultural friction, communication timing, and the moments where the deal that looked good on paper starts to unravel in the hallway.
A full-scale corporate finance and valuation framework of the Chevron-Hess Mega-Deal. Built entirely in Python, showcasing data driven DCF, LBO, and synergy analysis for strategic M&A evaluation.
Public lite version of a personal multi-disciplinary ontology spanning forensic accounting, integrated data science, and valuation. Licensed under CC BY-NC-SA 4.0
Exam questions from my Master of Business Administration at the University of Padova
📊 Track global M&A deals in real-time, filter by country and sector, and stay informed for smarter investment decisions.
LLM-powered system prompts for analyzing M&A NDAs. Delaware-optimized, Buyer/PE perspective.
Institutional-grade financial modelling toolkit - DCF, LBO, M&A, WACC, Comps, Bond & IPO valuation models, fully automated in a single HTML file. Built for aspiring analysts.
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