Due diligence is one of the most critical and time-sensitive processes in business transactions. Whether assessing M&A opportunities, investment risks, or compliance obligations, teams must navigate an overwhelming volume of documents with speed and precision. Traditional due diligence methods often lead to inefficiencies, missed insights, and costly delays.
Aracor transforms due diligence with an AI-powered platform designed for high-stakes legal and financial workflows. With intelligent automation, Aracor empowers professionals to analyze vast amounts of information quickly, ensuring accuracy and confidence in decision-making.
Effortlessly analyze deal and data rooms to uncover critical insights and ensure smooth due diligence processes. Automate document parsing and extract key information from vast repositories with precision.
Verify signatures across contracts and legal documents to ensure compliance and eliminate manual validation overheads, enhancing trust in deal authenticity.
Perform automated comparisons of multiple documents, such as employment contracts, or track revisions in amended agreements. Quickly identify discrepancies, inconsistencies, or changes across numerous files, enabling faster and more accurate analysis during due diligence.
Seamlessly interact with the entire due diligence process or specific files and folders through an intuitive chat interface. Quickly query documents, uncover insights, and get answers in real-time, making the entire workflow more interactive and efficient.
Manage the entire due diligence lifecycle with tools designed to evaluate legal, financial, and operational risks comprehensively. Save time while ensuring thoroughness.
Automate contract markup processes with redlining tools and instantly redact sensitive information directly on-device, ensuring data privacy and accuracy.
Protect deal data with advanced encryption protocols and secure workflows, providing peace of mind when collaborating with internal teams and external stakeholders.
Manually verifying information in contracts, financial statements, and compliance reports is time-consuming and prone to human error. Aracor’s Instant Citation feature provides real-time verification, linking key data points to their original sources within seconds. This ensures due diligence teams can work with confidence, reducing the risk of oversight.
Instead of spending hours combing through extensive documents, Aracor’s 1-Click Summaries distill essential information in moments. Legal and financial professionals can immediately grasp critical clauses, obligations, and risks without sifting through lengthy reports. This allows decision-makers to move faster while ensuring no crucial details are missed.
Handling due diligence across multiple files and formats can be overwhelming. Aracor’s Holistic Folder Analysis reviews entire document repositories, recognizing patterns and cross-referencing data points for a comprehensive view of risk factors, obligations, and compliance gaps. This feature enables teams to assess transactions with a level of depth and clarity that was previously unattainable.
Due diligence often involves scanning and analyzing complex legal and financial documents, many of which are locked in PDFs, scanned contracts, or handwritten notes. Aracor’s Advanced Optical Character Recognition (OCR) technology extracts, structures, and makes sense of even the most unstructured data. This ensures no critical insight is lost, streamlining workflows with unparalleled accuracy.
Aracor’s AI-driven platform is designed for legal professionals who require AI legal solutions, AI contract review, and contract redlining with AI to navigate complex due diligence tasks with speed and confidence. By integrating Instant Citation, Holistic Folder Analysis, Advanced OCR Technology, Document Comparison, Secure Data Sharing, and AI-powered document review automation, Aracor provides an all-in-one due diligence toolkit that helps teams make faster, more informed decisions.
Aracor is the #1 co-intelligent, AI-native platform for complex contract review and due diligence, trusted by in-house legal teams in high-growth sectors like investment funds and technology companies. In a landscape where precision is everything, Aracor is the leading AI for legal platform, setting a new standard for streamlining contract management with AI and ensuring due diligence workflows are secure and efficient. Schedule a demo today to see how Aracor can transform your due diligence workflows.
Legal professionals working with AI legal solutions manage highly sensitive data daily, from contract negotiations to due diligence in M&A transactions. With AI transforming legal workflows, maintaining security is more critical than ever. Many AI solutions rely on cloud-based processing, leaving confidential legal data exposed to third-party providers. This raises concerns about compliance, privacy risks, and unauthorized access.
Aracor has developed its own Small Language Model (SLM), the Aracor Secure Language Model™. This proprietary model to ensure that legal teams can leverage AI without compromising security. Unlike other AI solutions that process data in external environments, Aracor’s Secure Language Model™ operates within an organization’s private infrastructure, offering full control over sensitive information.
The Aracor Secure Language Model™ is specifically designed for legal professionals who need both AI-driven efficiency and airtight security. Unlike general-purpose AI models that rely on massive open datasets, this model is built to function within high-security environments, ensuring that legal data remains protected at all times.
Instead of relying on third-party platforms like OpenAI or Google, the Aracor Secure Language Model™ processes and stores data entirely within the client’s infrastructure. This ensures complete data privacy and guarantees that every document remains within a secure, closed-loop system. The model integrates advanced Optical Character Recognition (OCR) technology, improving the accuracy of document processing while maintaining strict data integrity.
The Aracor Secure Language Model™ is built for large enterprises and offers tailored solutions for small and medium-sized businesses (SMBs) across industries where data privacy is critical. In sectors such as Private Equity, Real Estate, and Aviation, organizations can leverage Aracor’s Secure Language Model™ to automate legal document processing, improve contract analysis, and ensure compliance without compromising sensitive information.
In Private Equity, the model streamlines due diligence by securely processing financial agreements, NDAs, and investment contracts. For Real Estate, it enhances lease agreement analysis, property transaction redaction, and regulatory compliance. In Aviation, it helps manage complex aircraft leasing contracts and regulatory filings while maintaining confidentiality. These tailored use cases demonstrate how Aracor’s Secure Language Model™ delivers both security and efficiency across diverse industries.
Organizations require both speed and precision, making automation essential for modern contract management. Aracor’s Secure Language Model™ enables teams to enhance contract redlining with AI, extract key clauses, and streamline contract management with AI for greater efficiency while ensuring that no data ever leaves their secure environment.
By leveraging AI contract review and automated contract drafting, professionals can accelerate their review processes without sacrificing accuracy. AI-powered insights help identify crucial terms, detect inconsistencies, and flag potential risks, allowing teams to make informed decisions faster. Redaction capabilities are also enhanced, integrating document review automation and AI assistant tools to ensure regulatory compliance and security.
Security is a fundamental requirement. It is the foundation of Aracor’s approach to AI. Teams can confidently collaborate, knowing their data is protected by enterprise-grade encryption and on-premises deployment. This level of control allows firms to focus on their work without worrying about data breaches or compliance violations.
As AI adoption grows within the legal industry, security must remain a top priority. The Aracor Secure Language Model™ is designed for legal teams that require both innovation and privacy. By eliminating reliance on third-party AI providers, integrating state-of-the-art encryption, and offering on-premises deployment, Aracor is setting a new standard for legal AI security.
With Aracor, legal teams don’t have to choose between security and efficiency. They can have both. Schedule a demo today to see how Aracor’s Secure Language Model™ can transform and protect your legal operations.
A Small Language Model (SLM) is a compact and specialized AI model designed for targeted applications. Unlike a Large Language Model (LLM), which processes vast datasets for generalized tasks, an SLM focuses on precision and efficiency. By narrowing its scope, an SLM excels in specific domains, making it ideal for industries requiring specialized solutions, such as legal technology.
For example, an SLM tailored for legal use can analyze contracts, extract essential terms, and streamline document reviews. These capabilities make the SLM a practical and effective choice for handling complex tasks while maintaining an efficient and resource-conscious framework.
An SLM and an LLM differ in size, efficiency, and purpose. An SLM is designed to be smaller and more efficient, requiring significantly less computational power and storage. This efficiency makes an SLM more accessible and cost-effective compared to an LLM, which often demands extensive resources to function.
Precision is another key difference. While an LLM provides broad and generalized outputs, its lack of specificity can limit its effectiveness in niche applications. An SLM, however, is fine-tuned for specialized domains, such as contract analysis, ensuring depth and accuracy within its focus areas.
An SLM also prioritizes speed, delivering real-time responses due to its streamlined architecture. This responsiveness is critical in industries like law, where time-sensitive decisions are routine. Furthermore, an SLM is often deployed in secure, on-premise environments, addressing stringent data privacy and compliance requirements—a feature not always guaranteed with cloud-reliant LLM.
An SLM offers tangible benefits for legal professionals by addressing the industry’s core challenges: precision, efficiency, and security. It automates labor-intensive tasks such as contract redlining and due diligence, freeing up valuable time for legal teams to focus on strategic activities that demand human expertise.
Security is a standout feature of an SLM in the legal field. By operating in secure environments, it safeguards sensitive client data while delivering advanced AI capabilities. This balance of innovation and privacy enables legal professionals to integrate an SLM into their workflows confidently, without compromising data integrity.
Moreover, an SLM is cost-effective. Its compact design reduces the barriers to AI adoption, making advanced technology accessible to law firms and corporate legal departments of all sizes. This combination of efficiency, precision, and affordability positions the SLM as an essential tool in the modern legal landscape.
Aracor’s proprietary Small Language Model is specifically designed to address the unique demands of the legal industry. By combining advanced AI capabilities with an in-depth understanding of legal workflows, this model delivers precision and efficiency tailored to legal professionals' needs.
Aracor’s SLM is built with security in mind, seamlessly operating in environments that require strict data protection. Whether automating contract drafting or accelerating document analysis, this model provides reliable and accurate results, enabling legal professionals to navigate complex challenges with confidence. By integrating this proprietary solution, organizations can streamline their operations while maintaining full control over their sensitive information.
Aracor has developed its own Small Language Model, the Aracor Secure Language Model™. This proprietary Secure Language Model™ combines state-of-the-art optical character recognition (OCR) technology with advanced security protocols, ensuring precise and secure document processing.
Unlike closed-source solutions that expose data to third-party providers like OpenAI, Anthropic, or Google, the Aracor Secure Language Model™ ensures complete data privacy. Organizations have the option to deploy it privately on-premises, granting them full control over their sensitive information while enjoying consistent and high-performance results.
Aracor also provides a robust desktop application for automated document redaction, enabling users to efficiently redact sensitive data directly on their devices. This application offers flexibility by allowing users to choose between Aracor’s on-device optimized model and its Secure Language Model™. By keeping data within a secure environment, Aracor empowers organizations to perform critical redaction tasks seamlessly, preserving both privacy and operational control.
Designed for high-security environments, the Aracor Secure Language Model™ meets strict data protection standards. This is particularly crucial in the legal industry, where managing sensitive client information requires advanced privacy measures. By integrating seamlessly with existing workflows, this model improves productivity without compromising security, setting a reliable standard for intelligent and secure legal technology.
We are thrilled to announce the promotion of Lesly Arun Franco, Aracor’s very first hire, to the role of Chief Technology Officer (CTO). Lesly has been an integral part of Aracor’s journey, driving innovation and crafting cutting-edge AI solutions that empower professionals and redefine the legal tech landscape. His expertise in natural language processing (NLP) and a visionary approach to AI have positioned Aracor as a leader in delivering state-of-the-art AI legal solutions.
"I’m honored to step into the role of CTO at Aracor. With a strong background in AI and a passion for solving complex problems, I’m excited to drive innovations that empower industries like venture capital and SaaS." Lesly shared.
Lesly’s journey to becoming CTO is an inspiring one. As Aracor’s first hire, he has been a cornerstone of the company’s success. Before joining Aracor, Lesly developed his expertise at AstraZeneca, where he led AI-driven initiatives focusing on data privacy, compliance, and generative AI applications. His work during this time emphasized bridging cutting-edge research with real-world enterprise applications, a skillset that has been instrumental in shaping Aracor’s approach to innovation.
"Technology should simplify complexity," Lesly often says, reflecting his dedication to making sophisticated tools accessible and impactful. This philosophy has guided his work in creating intuitive solutions for legal professionals.
Lesly’s vision for Aracor extends far beyond addressing today’s challenges. His focus is on shaping the future of how businesses operate. By continuing to integrate advanced AI capabilities, he aims to create solutions that redefine workflows and empower professionals in various industries.
"At Aracor, we’re building tools that not only solve today’s challenges but also shape the future of business operations," Lesly explained. "I’m excited to lead efforts that have a meaningful impact, and I look forward to what we will achieve together."
This forward-looking approach aligns perfectly with Aracor’s mission to blend advanced AI with practical applications, ensuring that clients can tackle their most pressing challenges with confidence and precision.
Under Lesly’s leadership, Aracor is poised to redefine the legal technology landscape. Tools like AI for law firms, legal research automation, and streamlining contract management with AI will continue to evolve, providing even greater value to clients. His work emphasizes scalability and usability, ensuring that these tools remain relevant and impactful across industries.
By focusing on areas like automated legal workflows, AI contract review, and faster legal research with AI, Lesly is ensuring that Aracor stays ahead of the curve, offering innovative solutions that transform how legal professionals work.
Lesly’s promotion to CTO marks an exciting new chapter for Aracor. His expertise in AI legal solutions and his visionary approach to innovation will propel the company to new heights. With a focus on creating intuitive, transformative tools, Lesly is set to make a lasting impact not only on Aracor but also on the broader legal tech industry.
"Thank you for your support, together, we’re building a future where technology empowers professionals to achieve more with confidence and precision." Lesly concluded.
The legal industry has long been seen as an immovable force, governed by tradition and resistant to change. For Katya Fisher, those established norms were not rules to follow but challenges to overcome. Her career reflects a determination to do more than navigate the system. She set out to reimagine it entirely, blending creative problem-solving with a drive to transform how lawyers work. Along the way, she realized that excelling in law was not enough. The profession needed better tools, and Katya was determined to build them.
Katya graduated from law school during the Great Recession, a time when jobs in law were scarce and competition was fierce. Many new lawyers found themselves stuck, waiting for the economy to recover. But Katya took a different approach. At just 27, she launched her own law practice, a bold move that set the stage for her career.
The decision paid off, with Katya’s practice growing into a high six-figure business and eventually leading her to a partner role at an AM200 law firm, where she also served as a data privacy officer. Yet, even as she reached new heights, she could not ignore the inefficiencies around her. Much of the work felt outdated. Manual processes, fragmented systems, and tools did not match the complexity of modern legal challenges.
Katya’s ability to think beyond tradition brought her to Constructor Group, where she oversees legal operations across more than ten countries and multiple industries. From managing intricate legal frameworks for a venture capital fund to guiding governance for a nonprofit, Katya became known for handling complexity with precision. But as her career expanded, so did her frustration with the tools available to her.
“There were too many moments where I thought, ‘Why doesn’t something better exist?’” Katya explains. That recurring frustration ultimately became the foundation for Aracor AI, a platform designed to address the inefficiencies she had encountered throughout her career. Blending artificial intelligence with human expertise, Aracor enhances security, automates repetitive tasks, and streamlines workflows. It tackles problems that felt all too familiar to Katya, whether simplifying contract reviews or protecting sensitive data through automated redaction.
“When I was building Aracor, I kept thinking about the tools I wished I had,” she says. “The goal is to empower legal teams to focus on what really matters, which is strategy, decision-making, and creating value.”
This vision resonated when Katya introduced Aracor AI at a CodeX group meeting at Stanford Law School, a hub for legal technology innovation. The gathering brought together professionals eager to tackle similar challenges, making it the perfect venue to showcase the platform’s potential. “The feedback was incredible,” she recalls. “It showed me that I wasn’t alone in these frustrations and that there’s a real hunger for change.”
Aracor’s success lies in its ability to address real-world pain points. By automating tasks like due diligence and regulatory compliance, it saves legal teams time and allows them to focus on higher-value work. The platform’s impact is rooted in Katya’s own experiences as a lawyer, navigating outdated processes and using that insight to create something better.
Katya Fisher’s journey is a masterclass in turning obstacles into opportunities for innovation. From launching her own practice during an economic downturn to building a platform poised to reshape the legal industry, she has shown that progress is not about waiting for the right moment. It is about creating what is needed to move forward.
In the high-stakes world of venture capital, private equity, and cross-border M&A, the devil is often in the (translated) details. Business today is inherently global — term sheets originate in Singapore, diligence comes from Frankfurt, and negotiations unfold over WhatsApp in Dubai. Yet language remains one of the most underestimated obstacles to deal velocity and risk mitigation.
Aracor AI is changing that.
At the core of Aracor’s platform is multilingual document review powered by advanced AI translation. But Aracor’s goal isn’t to translate War and Peace into Spanish — it’s to help dealmakers read, understand, and act on high-stakes documents — NDAs, MSAs, shareholder agreements, LPAs, convertible notes — across languages and jurisdictions. In short: Aracor enables cross-lingual dealmaking without delay.
It preserves intent, nuance, and legal structure across more than 30 languages. English to Mandarin? Seamless. Arabic to French? Structured. Korean diligence in a London data room? Instantly legible.
Where other platforms falter with legalese and business context, Aracor thrives. Its models are trained on financial, legal, and regulatory corpora — analyzing and translating at enterprise scale.
Crucially, Aracor lowers the need to rely on foreign counsel just to interpret documents — saving firms time, legal overhead, and outside costs while enabling internal teams to triage faster and smarter.
And there’s more coming: Dropbox, Google Drive, SharePoint, Box, and more — direct integration with your document vaults is planned for Version 2.
In a world where deals don’t wait for interpreters, Aracor helps global capital move at the speed of thought — no translator required.
By the Aracor Team
As global focus sharpens on AI governance — including the Council of Europe’s new Framework Convention on Artificial Intelligence (https://www.coe.int/en/web/artificial-intelligence/the-framework-convention-on-artificial-intelligence) — it’s clear AI is no longer just a tech issue. It’s a capital markets issue.
The treaty, like its cousins in Brussels and DC, is draped in the usual virtues — human rights, democracy, and rule of law. But for those in venture, private equity, and M&A, it signals a future where speed collides with sovereignty, and legal ambiguity becomes a new kind of friction.
Aracor wasn’t built to debate AI ethics — it was built to accelerate capital. Our tools give CEOs and in-house counsel leverage by mapping legal DNA, flagging regulatory risk, and helping deals move through complexity without getting stuck in it.
Example: a U.S. firm targets a European AI startup. One algorithm is flagged “high-risk” under EU law. The deal freezes. With Aracor, it’s flagged early, structure is adjusted, and the deal moves. That’s not compliance. That’s velocity.
The West may regulate. China may ignore. But advantage belongs to those who understand not just the law — but its lineage, incentives, and escape hatches.
And most importantly: what’s required to close deals and create value — for companies and their customers.
The National Venture Capital Association (NVCA) model term sheet is a solid starting point. But deals don’t happen in a vacuum — and real-world nuance matters.
Here are 10 things I always recommend including in a term sheet to save you from confusion, drift, or unnecessary friction later:
Yes, include pre-money valuation and price per share.
But also attach a cap table showing actual post-close ownership, fully diluted.
Too many deals get tripped up arguing about percentages that were “understood” differently.
Pro tip: Make sure it includes the option pool and any convertible instruments still outstanding.
Specify exactly how many seats there are, who appoints whom, and whether seats are tied to specific share classes or % thresholds.
Real world trick: Add what happens in the next round. Do current investors lose seats? Keep them as observers?
Define what actions require preferred consent — mergers, new equity, debt, hiring/firing execs, etc.
Bonus tip: Don’t just say “standard NVCA list.” Call out any non-standard protections so they don’t get buried later.
1x, participating, non-participating, capped? Get specific.
Real world risk: If you’re stacking multiple rounds, clarify whether preferences are pari passu or senior by class. This becomes a huge deal in down exits.
Will the option pool come from the pre-money or post-money? And how big is it?
Pro tip: Get both sides to agree to an actual option budget, not just a % placeholder — especially if you’re hiring aggressively post-close.
Are founders fully vested? Will any shares re-vest? What happens if someone leaves?
Real world trick: If there’s a cliff or accelerated vesting, define the triggers. Don’t assume everyone reads “single trigger” the same way.
Spell out who gets to participate in future rounds — and for how long.
Pro tip: If early investors are getting squeezed in future pro rata, this is the place to protect them.
Define what investors get and how often — financials, board decks, budgets.
Real world trick: If someone’s putting in real money but won’t have a board seat, use this section to keep them informed without making the board table too crowded.
You don’t need a spreadsheet, but a basic breakdown helps avoid future friction.
Pro tip: Call it out if any founder liquidity or debt paydown is part of the round — no one likes surprises here.
This is your catch-all for whatever’s unique to your deal:
Real world trick: If it affects control, economics, or perception — it belongs in the term sheet.
The best way to protect a deal is to document alignment early.
The worst mistake? Treating the term sheet as a handshake, then being surprised when final docs don’t match.
It catches the drift, flags missing terms, and makes sure what you sign at the end is what everyone agreed to at the start.
Because clean deals don’t start with clean term sheets.They start with clear ones.
Everyone’s racing to bolt AI onto the enterprise stack. But few are asking the real question:
Can we trust what we’re building on?
At Aracor, we didn’t start with LLM hype or generic copilots. We started with threat models — because if you’re handling deal data, legal strategy, or sensitive financials, the cost of a breach isn’t just a PR event. It’s a deal collapse.
We built a security architecture we’d trust with our own transactions.
Picture a car designed for impact — engineered with reinforced steel framing, internal roll cages, and calculated crumple zones that channel force away from the core. That’s how we approached Aracor: not just sleek on the surface, but structurally secure at every layer.
1. Data stays locked down
- Encrypted at rest and transit, no exceptions;
- No shadow copies. No blind spots.
2. Access is earned, not assumed
- Role-based permissions. SSO. 2FA;
- Effectively practicing zero trust architecture in productive environments.
Aracor is LLM-agnostic by design. We give clients the freedom to choose the right foundation models for the job — without sacrificing security or sovereignty.
One example: we support DeepSeek-R1, a powerful open-source model that performs on par with commercial offerings. But here’s the difference: we deploy it entirely within private, secure infrastructure — with zero reliance on Chinese servers or third-party data endpoints.
Why does agnosticism matter?Because it’s not just about preference — it’s about resilience.
If a model vendor goes offline, introduces regressions, or becomes compromised, Aracorswitches—automatically. No service interruption. No scrambling.
Your data flows. Your deal keeps moving. Your AI doesn’t break.
Security isn’t just a shield. At Aracor, it’s what makes our platform usable for real Deal Intelligence — the kind involving:
Unlike most vendors, we don’t train on your data.
We don’t leave audit gaps.
We don’t hope nothing breaks — we assume it might, and plan for it.
LLM prompt injection. Embedded exploits.
We’ve already threat-mapped them. We’re building protections now — not after something hits the headlines.
Aracor is SOC 2 compliant, supports FIPS-compliant encryption standards, and is GDPR compliant.
Secure AI infrastructure
Trusted for M&A, legal ops, and venture finance
LLM-agnostic, including an option for secure deployments of DeepSeek-R1
No data leakage, no foreign dependencies
Built for modern enterprise workflows
Business only moves as fast as the system it’s built on.
Aracor is that system.