Invitation and Demo Request
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
I’ve reviewed thousands of pages of contracts over the years. I’ve run diligence across jurisdictions, industries, and deal types. But my #1 recommendation when evaluating a deal has nothing to do with legal structure.
Talk to them. Ask questions. Not just about the product or the numbers — but how they think, how they handle pressure, how they treat hard questions.
And then pay attention to one thing above all: Do they want you to understand their business — or do they just want you to write the check?
If a founder is cagey during diligence — even after you’ve signed an NDA and clearly signaled interest — that’s a problem. Transparency in diligence isn’t a favor. It’s a signal. If they’re not forthcoming now, when they need something from you, it only gets worse post-close.
I’ve seen more deals turn sideways because of lack of trust and communication than because of any technical issue. People reveal themselves early — if you’re paying attention.
But tools only matter if the humans involved are operating in good faith. Founders who want to build something real want you to see it clearly. If they don’t? That’s your answer.
I recently had lunch with an Aracor user, an investor who shared a story about how, with Aracor's help, she caught a critical mistake in an agreement before it was too late. Here’s what happened.
She was deep into final docs on a growth deal — term sheet signed, diligence mostly wrapped, everyone ready to move forward.
She mentioned that she isn't the type to personally sift through 80-page agreements late at night. But she's exactly the kind of investor who knows how to ask the right questions — and who can sense when something isn't quite right.
During a review call, she paused and asked the lawyers: “Just confirm — the board is still 2–1 in favor of the founder, right?”
A long pause. Some scrolling. Then: “Actually… not exactly.”
Somewhere between the term sheet and the final voting agreement, the math had subtly shifted. A revised definition here, a phrasing tweak there — and suddenly, the founder’s control had quietly been diluted.
Nobody else caught it — not because they weren't sharp, but because subtle changes easily slip through when juggling multiple documents, numerous edits, and the pressures of a fast-moving deal.
Her single, timely question preserved critical alignment. But it highlighted something important: Even great legal teams miss things. And most investors don’t know which questions to ask — until it’s too late.
Aracor automatically matches your term sheet against the final deal documents, clearly tracking what's changed and what's drifted from signing to signature. So founders, investors, and legal teams can stay focused on the big picture without losing sight of the details.
Because asking the right question is powerful. But having the right tools means you don’t have to rely on intuition alone to catch critical issues.
As an in-house lawyer, I don’t think my job is to gatekeep knowledge. My job is to empower the people I work with — to provide clarity, confidence, and the ability to make smart decisions without always needing to pick up the phone. For years, I did everything manually.
Then came the advent of generative AI.
Initially, I thought these tools would finally solve my problems. And don't get me wrong — I LOVE ChatGPT. But for contract and deal work, it just wasn't enough. First, I couldn’t see and directly reference my documents side-by-side, which is critical for my workflow. Second, LLMs couldn't understand what I specifically value or read documents the way I do. They go broad but lack the deep vertical expertise I need.
That's why I built Aracor and why we now use it across the Constructor Group ecosystem.
My legal team has transformed significantly:
We view Aracor as a critical intermediary step — a trusted second opinion to guide our decision-making. Because of this, we've stopped depending on external counsel for routine document review, saving substantial money, and more importantly, significant amounts of time. Internally, we’ve grown smarter, faster, and more confident.
Now, we're expanding Aracor to top business executives within the Constructor Group ecosystem, enabling them to quickly access critical information related to their projects. This alignment is essential for Constructor Capital as a venture fund, where legal and business decisions are closely intertwined.
We don’t just upload contracts and forget about them — we actively structure our deal knowledge. I preload Aracor with critical documents, highlight essential rights, mark potential risks, and annotate the exact things I anticipate our team needing months later.
When finance asks about a distribution waterfall, they don't have to wait for me. When our CEO needs to confirm board control post-close, it's one click away. When our investor queries a veto right, it's already flagged clearly.
I'm still deeply involved in guiding strategy, but I've stopped being the bottleneck.
Here's the magic: the more I put into Aracor, the more valuable my work becomes — not just for the deal, but for the entire business.
Imagine you're a law firm partner advising family offices, funds, founders, or corporate clients. What if you could deliver the same empowerment and visibility to your clients?
You don't need to build software to scale your value; you just need to own its delivery. This is how legal teams become indispensable — not by hoarding knowledge, but by making it actionable and accessible.
If your clients live in their deals long after signing, this is your path to staying essential.
Just because a deal closes doesn’t mean a happy ending is in store. Some deals unravel months — or even years — later.
I’ve seen it happen with partnerships that looked perfect on paper, only to reveal fundamental misalignment once the real work began. I’ve seen investments that seemed strategic at the time but became expensive distractions. Sometimes it wasn’t anyone’s fault — priorities changed, markets moved, people evolved.
And sometimes (most times!), the red flags were there from the beginning — we just didn’t want to see them.
These experiences are painful, but they’ve taught me some of the most valuable lessons in my career. The deals that hold up over time aren’t just the ones with clean terms or airtight contracts. They’re the ones built on clarity, alignment, and a shared understanding of how things will work when circumstances inevitably change.
The hard part isn’t closing a deal. It’s maintaining one. That means staying ahead of shifting control rights, understanding what’s buried in old side letters, or knowing when your waterfall math quietly stopped reflecting reality.
Not just to help you close — but to help you manage the deals you already have. Aracor maps control, rights, obligations, risks — across time, across entities, across relationships. Because the real test of a deal isn’t day one. It’s day 1,000.
If you’ve had a deal unravel after the fact — what did you learn from it? What would you build differently next time?
Welcome to the inaugural issue of DealFlow & AI, your go-to resource for AI-powered M&A insights and deal flow efficiency. Our mission? To empower and help family offices, in-house counsel, venture capitalists, and private equity professionals streamline and accelerate complex workflows, reduce errors, control legal spending, and safeguard your data with confidence. Stay ahead of the curve to receive this monthly newsletter. Sign up for the newsletter.
M&A is evolving fast. The pace of deals is accelerating, risks are growing, and expectations for efficiency have never been higher. At Aracor, we believe that fearlessness — the ability to navigate uncertainty with confidence — is the key to thriving in this landscape.
This philosophy is at the heart of everything we do, from pushing AI innovation to helping you execute deals faster and more securely. And it’s why I’m so excited to share some big updates with you:
On a personal note, I recently chose The 50th Law: Overcoming Adversity Through Fearlessness by 50 Cent and Robert Greene for our Aracor Book Club. In the past, the team has selected and read Mindset by Carol Dweck, Principles by Ray Dalio, The Culture Map, and other classic reads on leadership and strategy.
Making my team read about a rapper’s philosophy seems funny – but it goes back to fearlessness. The ability to embrace uncertainty, take action before you feel ready, and master your environment.
AI is changing everything. The people who thrive won’t be the late adopters; they’ll be the ones experimenting, adapting, and shaping the tools at their disposal. The lesson? Hesitation is costly. Fear is a disadvantage. Mastery comes from engagement.
What’s one area in your work where uncertainty is holding you back? What if you leaned into it instead? Hit Reply — I’d love to hear your thoughts!
Best,
Katya Fisher
CEO, Aracor
Want to see a Aracor in action? Schedule a Demo.
Buried in deal documents? Aracor Deal Intelligence turns weeks of work into minutes.
Purpose-built for private equity, VC, family offices, and in-house counsel, Aracor gives you:
No noise. Just answers.
Control your docs. Speed your deals. Elevate your decisions.
Hiring multiple law firms doesn’t always lead to better results—it often leads to higher costs. A private equity partner recently told us, “We thought more firms meant better oversight. Turns out, it meant more inefficiencies.” Aracor provides the tools to track progress, prevent over billing, and streamline legal management.
Take control of legal spending.
ISO 27001 & SOC 2 Compliant. Your Data, Your Control.
At Aracor, we know that privacy and security are non-negotiable in high-stakes transactions.
Whether you're reviewing sensitive contracts or preparing a data room, Aracor gives you speed and insight — without compromising on security.
By Kevin J. Sullivan, Senior Advisor at Aracor
As someone who’s worked with entrepreneurs for years, I’ve seen firsthand how their drive fuels constant innovation. But that same energy can also create challenges, especially when it comes to navigating complex legal agreements. That’s where Aracor, an AI tool, is making a significant impact.
Take a recent case: an experienced entrepreneur was recapitalizing his business with new investment. The investor wanted a range of agreements — restrictive covenants, a revised shareholders’ pact, settlement terms, and more —adding to existing legal obligations. When the entrepreneur asked, “What’s stopping me from launching a new software business?” the answer wasn’t simple. The relevant documents included multiple restrictive covenants, shareholders’ agreements, articles of organization, and various investment terms — over 600 pages across three jurisdictions.
From Days of Legal Review to Seconds of Insight
Traditionally, this would mean having a junior associate sift through the documents, flagging key clauses, and drafting a summary — a process that could take days and cost thousands in legal fees. With Aracor, I simply uploaded the files, entered a prompt — “outline restrictions on [entrepreneur] starting a software business” — and got a detailed breakdown in less than a minute, with links to every relevant clause. What used to take hours now takes moments.
Aracor is a co-intelligent legal platform designed for high-growth sectors like venture capital and private equity. It automates tasks like contract review, due diligence, and compliance with tools such as 1-Click Summary, automated redlining, and OCR with signature verification. Its due diligence features let business leaders assess new ventures without upfront legal fees, helping them make sharper, more informed decisions.
Why This Changes the Game for Dealmaking
CEO Katya Fisher, who has both legal and business expertise, built Aracor with the aim of offering tailored, proactive insights while ensuring top-notch security. The platform uses enterprise-grade encryption and Secure Language Models™ to protect sensitive data.
When I first heard about AI’s potential to change the legal field, I was skeptical. But after using Aracor for several months, I’m convinced. Its ability to analyze complex documents quickly and accurately isn’t just a time-saver; it’s a competitive advantage. For advisors like me, it’s a powerful tool that helps us better serve clients in fast-moving industries. The real question now is, “How far can this technology go?”
Kevin J. Sullivan is a senior advisor at Aracor. Connect with Kevin.
AI is evolving at an extraordinary pace — but that doesn’t mean every business should blindly follow the latest model release. At Aracor, we believe in building AI infrastructure that is flexible, secure, and future-ready. That’s why we’ve taken an LLM-agnostic approach — and here’s why it matters.
What Is an LLM, and Why Should You Care?
A Large Language Model (LLM) is the core AI engine that interprets, summarizes, and analyzes text — essentially the “brain” behind modern AI tools. It’s what powers document review, insight extraction, and smart workflows in platforms like Aracor.
But not all LLMs are built the same.
Some prioritize speed or experimentation over enterprise-level safety. Others aren’t optimized for sensitive legal or financial data. And some, like DeepSeek, are powerful open-source models — but they come with important caveats.
The DeepSeek Dilemma: Performance vs. Trust
DeepSeek is one of the most talked-about open-source models in the AI community. It's powerful, fast, and appears to perform well in legal and analytical tasks.
But there's a catch.
Despite its capabilities, many organizations — especially those handling sensitive deal data — are wary of using DeepSeek in production due to concerns about data jurisdiction and governance. The model was developed by a team based in China, and there's limited transparency around how inference data is handled, logged, or retained when run through public endpoints or unmanaged hosting.
The fear isn’t just theoretical:
Aracor’s Approach: Use the Best, Control the Risk
At Aracor, we are hosting a version of DeepSeek in a secure, private environments — giving customers access to its capabilities without the exposure. For enterprise clients, we offer full VPC or on-premise deployment, so inference never leaves your controlled infrastructure.
And we don’t stop there. Aracor is:
Agnostic by Design, Resilient by Default
When Anthropic experienced a major outage earlier this year, many companies relying on a single LLM were forced to pause mission-critical workflows.
Aracor’s LLM-agnostic design means your work continues — even if one provider goes down. You’re never dependent on a single model, vendor, or cloud endpoint.
The Bottom Line
Your deal data is too valuable to risk.
Whether it’s concerns about data sovereignty, LLM outages, or evolving model performance, Aracor gives you:
Great AI is important. But great AI, run the right way, is what makes Aracor different.
Schedule time to meet with Katya
Thank you to ILTA for featuring Future-Proofing Legal AI by Katya Fisher in the 2025 Spring Issue of Peer to Peer. This special edition, Practical AI for Legal Technologists: Real-World Applications and Insights, offers a treasure trove of GenAI how-to guides, emerging legal tech trends, and stories of professional growth. We're honored to be part of this forward-thinking collection. Read the Article
|
|
|
Aracor AI, 1010 Brickell Avenue, Unit 2105, Miami, FL 33131, United States
Unsubscribe Manage preferences
AI is evolving at an extraordinary pace—but that doesn’t mean every business should blindly follow the latest model release. At Aracor AI , we believe in building AI infrastructure that is flexible, secure, and future-ready. That’s why we’ve taken an LLM-agnostic approach— and here’s why it matters.💡
A Large Language Model (LLM) is the core AI engine that interprets, summarizes, and analyzes text—essentially the “brain” behind modern AI tools. It’s what powers document review, insight extraction, and smart workflows in platforms like Aracor.
But not all LLMs are built the same.⚡️
Some prioritize speed or experimentation over enterprise-level safety. Others aren’t optimized for sensitive legal or financial data. And some, like DeepSeek AI , are powerful open-source models—but they come with important caveats.
DeepSeek is one of the most talked-about open-source models in the AI community. It's powerful, fast, and appears to perform well in legal and analytical tasks. 🦾
But there's a catch.
Despite its capabilities, many organizations—especially those handling sensitive deal data—are wary of using DeepSeek in production due to concerns about data jurisdiction and governance. The model was developed by a team based in China, and there's limited transparency around how inference data is handled, logged, or retained when run through public endpoints or unmanaged hosting.
At Aracor, we are hosting a version of DeepSeek in a secure, private environments—giving customers access to its capabilities without the exposure. For enterprise clients, we offer full VPC or on-premise deployment, so inference never leaves your controlled infrastructure.
And we don’t stop there.
Aracor is:
When Anthropic experienced a major outage earlier this year, many companies relying on a single LLM were forced to pause mission-critical workflows.
𝗔𝗿𝗮𝗰𝗼𝗿 𝗶𝘀 𝘁𝗵𝗲 𝗼𝗻𝗹𝘆 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝗱𝗲𝗮𝗹𝗺𝗮𝗸𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘁𝗵𝗮𝘁 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀 𝗮𝗻 𝗟𝗟𝗠-𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗱𝗲𝘀𝗶𝗴𝗻. 𝗧𝗵𝗶𝘀 𝗺𝗲𝗮𝗻𝘀 𝘆𝗼𝘂𝗿 𝘄𝗼𝗿𝗸 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗲𝘀—𝗲𝘃𝗲𝗻 𝗶𝗳 𝗼𝗻𝗲 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿 𝗴𝗼𝗲𝘀 𝗱𝗼𝘄𝗻. 𝗬𝗼𝘂’𝗿𝗲 𝗻𝗲𝘃𝗲𝗿 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝘁 𝗼𝗻 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗺𝗼𝗱𝗲𝗹, 𝘃𝗲𝗻𝗱𝗼𝗿, 𝗼𝗿 𝗰𝗹𝗼𝘂𝗱 𝗲𝗻𝗱𝗽𝗼𝗶𝗻𝘁.
Your deal data is too valuable to risk.
Whether it’s concerns about data sovereignty, LLM outages, or evolving model performance, Aracor gives you:
Great AI is important. 𝘽𝙪𝙩 𝘼𝙄 𝙙𝙚𝙨𝙞𝙜𝙣𝙚𝙙 𝙩𝙤 𝙘𝙧𝙚𝙖𝙩𝙚 𝙖𝙣 𝙚𝙣𝙩𝙞𝙧𝙚𝙡𝙮 𝙣𝙚𝙬 𝙢𝙤𝙙𝙚𝙡 𝙤𝙛 𝙙𝙚𝙖𝙡𝙢𝙖𝙠𝙞𝙣𝙜 𝙞𝙨 𝙬𝙝𝙖𝙩 𝙢𝙖𝙠𝙚𝙨 𝘼𝙧𝙖𝙘𝙤𝙧 𝙙𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙩.⭐️
Built by dealmakers, for dealmakers. Whether you're closing your next transaction or reviewing hundreds of docs under pressure, Aracor gives you speed, accuracy, and confidence—at scale. Sign up for a demo.
The world of mergers and acquisitions (M&A) is notoriously painstaking, slow, expensive and error-prone. Lawyers spend weeks combing through thousands of documents—validating signatures, comparing versions, and flagging risks.
Lawyers and dealmakers sift through mountains of documents—often numbering into the thousands—to validate every detail, from validating signatures, comparing the documents involved in the deal transaction, flagging risks to to patent validity. This meticulous process typically drains weeks or even months of productivity from highly trained professionals. Aracor AI set out to change that and to solve the M&A transparency gap. The Miami-based AI platform is laser-focused on transforming this painstaking due diligence into an automated, accurate, and dramatically faster operation.
Before Aracor, M&A lawyers faced countless hours verifying signatures, comparing contract versions, and manually summarizing massive troves of legal documentation. Traditional attempts at automation—such as generic summaries from AI tools like ChatGPT—fell short, lacking the critical accuracy, citations, and domain-specific context lawyers demand. The process was expensive, slow, and fraught with potential inaccuracies.
Aracor built an end-to-end AI platform specifically tailored for the complex, precise requirements of dealmakers: family offices, private equity firms, venture capitalists, and other high-stakes investors. At the core of their innovation was a robust vector search capability provided by Qdrant.
Lesly Arun Franco, CTO of Aracor, explains, “Search is a massive problem. Our platform ingests thousands of legal documents, each requiring precise retrieval and accurate citations. Without Qdrant, delivering this level of performance and scale was nearly impossible.”
By adopting Qdrant’s vector database, Aracor gained the critical ability to efficiently index and search through massive document repositories. This empowered the platform to automatically generate precise document summaries, accurate comparison reports, signature verifications, and essential citations for every finding—features indispensable in the rigorous legal world.
When Aracor first set out to integrate a vector database roughly eighteen months ago, Lesly and the team evaluated several vendors. Qdrant stood out for several reasons:
Since integrating Qdrant, Aracor has realized substantial operational improvements:
With Qdrant handling the heavy lifting of scalable vector search, Aracor continues to innovate, working towards even more sophisticated multimodal and domain-specific embedding techniques. As they expand their platform, Aracor is confident in their capacity to support increasingly complex, high-volume document processing needs, all backed by the proven power and reliability of Qdrant’s vector database solution.
By Katya Fisher
It’s easy to assume that when deals fall apart, it’s because of market shifts, tough legal terms, or bad timing. But most deals start dying long before any of those factors come into play. The root causes are almost always human: misaligned expectations, personality clashes, ego, and poor communication.
Two parties come to the table thinking they’re aligned.
On the surface, everything looks fine—they like the deal, the numbers make sense, and the timeline feels reasonable. But dig a little deeper, and you’ll find they’re often operating on completely different assumptions. One side might be focused on speed and momentum, while the other is wired for caution and precision. One party expects to continue running their business independently post-close; the other is planning for full integration on day one. These differences aren’t inherently problematic—but when they go unspoken, they become landmines.
Everyone assumes things will “work themselves out.” They don’t.
Deals are negotiated and executed by people, not spreadsheets.
And people come with pride, fear, and the need to feel in control. When those dynamics aren’t managed, even a strategically sound deal can get derailed. This is especially true when egos start driving the conversation. If no one is willing to step back and say, “This isn’t about me—it’s about the outcome,” the deal starts to wobble.
Add in power plays, unspoken insecurities, or territorial behavior, and the whole thing can fall apart fast.
There’s a quiet but critical shift that happens in some negotiations: the goal moves from getting the deal done to winning the deal. That shift is fatal.
Suddenly, small asks turn into hills to die on. Concessions that should have been routine become personal. Every point becomes a referendum on respect or control. Progress slows. Trust erodes.
The deal—often a good one—bleeds out slowly while everyone digs in.
Finally, the most common deal-killer is the simplest: bad communication.
And not just what’s said, but what’s left unsaid. Unvoiced assumptions. Vague expectations. Unacknowledged timelines. These gaps often don’t feel urgent in the moment, but they create fault lines.
And when stress hits, those small cracks become unbridgeable divides.
This is the kind of risk we built Aracor to handle.
Not just the technical analysis of documents or flagging of missing terms—but the deeper, structural issues that derail deals before they’re even properly underway. Aracor helps dealmakers see the real dynamics early: where expectations are out of sync, where silence is hiding risk, and where momentum is starting to falter. It gives teams the tools to push for clarity before assumptions calcify into conflict.
Because great deals don’t just depend on terms or price.
They depend on clarity, trust, and early alignment—the things that rarely show up in the redlines, but always determine the outcome. Connect with Katya.
Built by dealmakers, for dealmakers. Whether you're closing your next transaction or reviewing hundreds of docs under pressure, Aracor gives you speed, accuracy, and confidence—at scale.
Aracor is the AI-powered deal intelligence platform built for the pace and pressure of modern transactions. From diligence, ti negotiation, closing to exit, Aracor equips legal and deal teams with the tools to move faster, surface critical insights, and reduce risk—without sacrificing control.
Founded by a chief legal officer, a Dealmaker of the Year, and a global tech investor and entrepreuner, Aracor combines deep legal expertise with cutting-edge AI to streamline the entire deal lifecycle and deliver the competitive edge today’s high-stakes transactions demand. Whether conducting preliminary evaluations, reviewing contracts, flagging obligations, managing due diligence, or tracking post-signing commitments, Aracor transforms deal friction into deal flow.
Designed for family offices, in-house legal teams, venture capital and private equity firms, Aracor helps professionals identify risks earlier, accelerate review processes, and stay in control of even the most complex deals. Aracor empowers teams to close smarter, faster, and with greater confidence.
With speed, security, and insight at its core, Aracor is redefining how deals get done.
.jpeg)
Get the insights you need—without compromising security.
The modern M&A battlefield is a high-stakes, high-velocity game. CEOs, general counsels, and deal teams are no longer just outmaneuvering competitors - they’re racing time itself. When deals move at the speed of information, clarity becomes a weapon.
At Aracor, we’ve been exploring how to sharpen that weapon. Recently, we quietly integrated DeepSeek R1 - an open-source LLM from China - as an option within our platform. The integration reflects our broader strategy: empowering CEOs, family offices, in-house counsel, and deal teams with real-time clarity across every phase of the M&A lifecycle. And we believe DeepSeek R1 can be a force multiplier for Aracor - returning signal to the user, not noise.
Let’s unpack that.
DeepSeek R1 is not just another large language model. It is a system trained to speak the language of legal and financial nuance. When combined with Aracor’s proprietary AI know-how and techniques it doesn't simply summarize - it segments, identifies, prioritizes.
When users upload an M&A agreement riddled with indemnification clauses, escrow terms, and closing conditions to the Aracor platform, DeepSeek helps surface exactly what you need to know - back to the signal-versus-noise thing.
For example, while using Deepseek, Aracor flagged a missing auto-renewal clause in a user's key agreement - saving hours of manual review and avoiding a deal-breaking oversight. Its built-in risk detection catches hidden clauses, outdated templates, and compliance gaps before they become costly mistakes. For dealmakers navigating million-dollar decisions, that’s a fundamental shift. You go from reading to reasoning. From reactive interpretation to proactive insight. From “What is this saying?” to “What should we do next?
But there is a problem.
DeepSeek R1’s country of origin – China - introduces a layer of complexity that’s impossible to ignore.
Today, geopolitics has become a technical constraint. With the U.S. and China edging toward what many now call a technology-focused trade war, AI infrastructure is no longer neutral. It’s a strategic variable. Choices around hosting, data privacy, and model transparency are not secondary concerns - they’re primary requirements. So we approached DeepSeek with eyes wide open. And we built guardrails into every layer of how it’s delivered.
As DeepSeek R1 is open source, Aracor’s deployment of DeepSeek R1 is fully secure and complies with data protection standards. All data is processed on U.S. servers. In our view, trust in AI systems is earned not through marketing, but through correct architecture—because no matter how good DeepSeek R1 is, it doesn’t mean a thing to us if our clients are not protected. Aracor enforces a zero-trust security policy with strict data residency and access controls, ensuring that even when integrating models like DeepSeek R1, all data remains encrypted, auditable, and confined to U.S.-based, compliant environments.
And at Aracor, your security and ability to navigate efficiently and quickly through deal making is our business and in our DNA.
Built by dealmakers, for dealmakers. Whether you're closing your next transaction or reviewing hundreds of docs under pressure, Aracor gives you speed, accuracy, and confidence—at scale.
Aracor is the AI-powered deal intelligence platform built for the pace and pressure of modern transactions. From diligence, ti negotiation, closing to exit, Aracor equips legal and deal teams with the tools to move faster, surface critical insights, and reduce risk—without sacrificing control.
Founded by a chief legal officer, a Dealmaker of the Year, and a global tech investor and entrepreuner, Aracor combines deep legal expertise with cutting-edge AI to streamline the entire deal lifecycle and deliver the competitive edge today’s high-stakes transactions demand. Whether conducting preliminary evaluations, reviewing contracts, flagging obligations, managing due diligence, or tracking post-signing commitments, Aracor transforms deal friction into deal flow.
Designed for family offices, in-house legal teams, venture capital and private equity firms, Aracor helps professionals identify risks earlier, accelerate review processes, and stay in control of even the most complex deals. Aracor empowers teams to close smarter, faster, and with greater confidence.
With speed, security, and insight at its core, Aracor is redefining how deals get done.
Aracor delivers real-time insights, and risk detection
built for deal teams across family office, in-house, private equity, and venture capital.
