Legal Insider named Aracor the Most Innovative AI-Native Dealmaking Platform – Miami 2025, recognizing its work helping legal and deal teams streamline diligence, contracts, risk review, and complex transactions.

Artificial Lawyer featured Katya Fisher, Founder & CEO of Aracor, in a Founder’s Story interview on AI-native dealmaking, legal tech, deal intelligence, and the future of transaction workflows.

Citybiz featured Aracor and Founder Katya Fisher in an article on how the company is helping solve the M&A transparency gap through AI-powered due diligence and complex contract review software.

Explore how AI is reshaping legal strategy, governance, risk management, estate planning, and family office leadership with insights from Katya Fisher, Founder & CEO of Aracor.

Katya Fisher, Founder and CEO of Aracor, was featured in Law360 Pulse in the article “‘Fearlessness’ Paved The Path From Atty To Aracor CEO.”

In this NYSE TV LIVE interview, Katya Fisher, Founder and CEO of Aracor, discusses how Aracor is helping modern deal teams transform the way they manage complex transactions, legal documents, due diligence, and deal execution.

The Big Short became the defining popular film about the 2008 financial crisis because it explained the collapse from inside the machinery of finance itself. Christian Bale played Michael Burry, Steve Carell played Mark Baum, Ryan Gosling played Jared Vennett, and Brad Pitt played Ben Rickert — a handful of outsiders looking hard at a system that almost everyone else insisted was stable.

Trading Places is about information: who has it, who lacks it, who believes they control it, and who can act on it before anyone else understands what has happened. That isn't just commodities trading. That's venture capital, private equity, and M&A. In every transaction, information is leverage.

Practical term sheet guide for deal principals and deal teams: what key provisions actually control and where terms drift in drafting. Covers economics, governance, and rights with clear watch-outs—plus a glossary and review checklist.

Imagine you are an M&A associate preparing a comparison memo two hours before a signing call. The partner wants confirmation that the indemnification cap and survival periods in the final agreement reflect what was negotiated.

Using the Caterpillar–Siwei acquisition as a case study, this article examines why verification breaks down in complex M&A transactions when diligence relies on static snapshots instead of continuous alignment.

Most people in venture capital can recognize the terms inside a term sheet. Fewer people realize that understanding them is often what allows a dealmaker to push back when the drafting starts to move the deal.

Deal drift is the widening gap between what stakeholders believe the deal is and what drafts become. Learn how misalignment turns into structural risk before signing.

Most transaction data captures only the final agreement. But the real intelligence of a deal lies in the sequence of decisions that produced it. This article explores “deal memory,” the structured history of negotiations and revisions that reveals how judgment shaped a transaction, and why that history may become one of the most valuable datasets in AI-driven private markets.

Legal AI isn’t limited by model size. It’s limited by architecture. Learn why skills architecture, risk calibration, and citation discipline matter for defensible, transaction-ready AI outputs.

In M&A today, a simple belief is gaining momentum. Better data will produce better deals.

AI is clearly speeding up legal work, but this article argues that speed alone is not the right metric in transactional practice. It explores how acceleration can outpace verification, why traceability and defensibility matter more than ever, and how teams risk moving faster while becoming less able to show their work when conclusions are questioned later.

Aracor CEO Katya Fisher discussed AI's impact on dealmaking pace, precision, security, and compliance on TechTalk.