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Centari provides a full-stack transactional law and deal intelligence platform powered by generative AI. It helps legal and financial deal teams extract key data points from transactional documents at scale by using secure, large language models combined with trusted market data. The product automates data extraction and analysis from a firm’s internal documents, allowing teams to boost due diligence efficiency and improve decision-making. The platform integrates multiple AI models with a focus on transparency of AI performance and strong security to meet confidentiality and compliance requirements. Revenue comes from subscriptions based on firm size and usage. Centari differentiates itself by combining secure, compliant data-handling with flexible AI model integration and a focus on deal points and due diligence for legal and financial professionals.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Legal
Company Size
11-50
Company Stage
Series A
Total Funding
$8.4M
Headquarters
San Francisco, California
Founded
2023
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Centari, an AI platform for deal intelligence, has launched Amendment Awareness and Deal Maps, two capabilities designed to help attorneys track changes across transaction documents and visualise complex deal structures. Amendment Awareness automatically identifies changes when amendments are uploaded and updates deal profiles to reflect current terms. Deal Maps generates visual graphs showing how agreements relate to one another, including which documents incorporate, modify or supersede others. The features address challenges in transactional law where meaning is often spread across multiple documents including amendments, exhibits and side letters. Centari's patent-pending Deal Reasoning Engine analyses relationships between documents rather than reviewing them individually. The capabilities are now available to Centari customers, including firms such as Ropes & Gray, Willkie and Wilson Sonsini.
Deal-Intelligence platform Centari adds Amendment Awareness and Deal Maps, features that deepen its multi-document analysis. Centari, an AI platform for managing complex transactions, today launched two capabilities, Amendment Awareness and Deal Maps, that help attorneys understand how transactions change over time and how documents relate to one another. Both features further extend Centari's platform beyond single-document review to reasoning across the multiple agreements, amendments, and ancillaries that make up a complex transaction. The features are available immediately to Centari customers. The features are designed to answer a problem most legal AI tools have not solved, the company says. Large language models read documents as text at a fixed point in time, while transactional attorneys read a deal as a system - following defined terms, chasing cross-references, and tracking how one agreement modifies, satisfies, or supersedes another. Centari says its patent-pending platform, which it calls the Deal Reasoning Engine, was built to work the second way, and that the two new capabilities extend that engine across amendments and across whole closing sets. "Transactional attorneys don't work document by document," said Kevin Walker, founder and CEO of Centari and a former Paul Hastings M&A attorney. "They work deal by deal. Understanding a transaction means understanding how agreements, amendments, schedules, and related documents fit together." Amendment Awareness. Amendment Awareness is designed to keep a deal's underlying data current as a transaction changes. When an amendment is uploaded to an existing matter, the system identifies what changed and updates the deal's data points to reflect the operative terms, rather than leaving a record that reflects the agreement as originally signed. In an interview yesterday, Walker drew a distinction between this and redlining. The capability is not tracking textual changes, but reading how an amendment alters the meaning of a deal over time. "It's a conceptual understanding of how a document is evolving over time," Walker said. "It's not just looking at how this text has changed, it's understanding how it's changed the meaning of the whole deal over time as new documents are signed." As examples of the kinds of documents the feature is built to handle, he pointed to amended and restated limited partnership agreements and amended purchase agreements, where rights can shift substantially between the first version and a later one. Centari says this capability can be of greatest use to credit facilities, portfolio company governance documents, fund structures, and other matters that evolve across multiple amendments. Deal Maps. The new Deal Maps feature (pictured in the image at the top of this article) generates a visual graph of how the documents in a transaction relate to one another, showing where one agreement incorporates, modifies, satisfies, replaces or supersedes another. The map is generated automatically, without manual classification or chart-building. Walker described the feature as a new way to visualize relationships that lawyers have historically had to reconstruct by hand. "Attorneys spend significant time reconstructing document relationships that already exist within a transaction," he said. "Deal Maps makes those relationships visible immediately." He compared the concept to the structure charts and fund-flow diagrams lawyers already build, but applied to the documents themselves. In the past, he said, that information lived in a closing checklist or had to be pieced together from circulating drafts. In a demonstration, Walker showed an M&A closing set of six agreements in which the map depicted an amended and restated purchase agreement superseding the original, with an equity commitment letter, a reps and warranties insurance policy, and an escrow agreement shown as satisfying or adding detail to it. Positioning at the data layer. Walker told me that the focus of Centari's development is not on the application layer alongside tools such as Harvey and Legora, but rather on helping firms create high-quality, structured data assets from their own deal documents - data the firm can then use in whatever AI system it prefers. "We want to help them create data that they can trust when it matters to clients," Walker said. Walker said Centari is working toward a definitive ontology of a firm's knowledge and deal history, running from the practice group down to the individual deal, clause and data point. He added that the company has expanded its team since late 2025, hiring attorneys from large firms and investing in applied legal research, and said the two new capabilities grew out of the founders' experience as practicing attorneys. Centari's customers include Ropes & Gray, Willkie, Fried Frank, and Wilson Sonsini.
Introducing the Centari MCP Server and Microsoft Copilot integration. June 16, 2026 On this page Put your firm's knowledge to work across your AI stack Deal intelligence, for the whole firm Centari turns complex deal documents into a library of your firm's most valuable intellectual capital: structured, attorney-grade data that powers a competitive advantage in both the business and practice of law. The knowledge is yours. Today, Centari, Inc. is giving you more control over where you put it to work, with the launch of the Centari MCP Server and Microsoft Copilot integration. Put your firm's knowledge to work across your AI stack. AI is evolving quickly, and so are the vendors who supply it. What outlasts legaltech volatility, and what defines your market leadership, is your firm's deal intelligence: the unique expertise that sets you apart when a client selects counsel for their next major transaction. Centari is designed for the firms that recognize proprietary, portable data and software interoperability are essential to their success in this new era of technology. The Deal Reasoning Engine produces citation-backed deal data the whole firm can rely on. And with its new integrations, you can now deliver this data to more places your team already works. * Centari MCP Server The Centari MCP Server securely connects third-party tools to your Centari deal database through MCP (Model Context Protocol), the open standard for linking AI applications to data sources. An AI assistant your attorneys already use, or an agent your innovation team builds, can draw on the firm's deal history within existing workflows. * Microsoft Copilot integration One of the most common barriers to adoption is the friction of switching between a growing number of tools. Set up Centari's integration with Microsoft Copilot in a single click, and users can instantly retrieve deal data from Centari while working in MS Office applications like Word or Outlook. Deal intelligence, for the whole firm. With AI reshaping what clients expect from their counsel, the speed of tech adoption is now table stakes. The firms that are pulling ahead are those that can synthesize intelligence across transactions and use it to win mandates and deliver superior client outcomes. Learn more about how Centari powers deal intelligence at leading firms like Fried Frank, Wilson Sonsini, Willkie Farr & Gallagher, and Gilbert + Tobin, or request a demo.
Centari, an AI platform for deal intelligence, has launched two new products—Views and Intelligence—expanding beyond document review to transform transactional deal data into strategic insights. The platform serves leading law firms across three continents, including AmLaw 25 and Magic Circle firms. Founded by former Paul Hastings M&A lawyer Kevin Walker, Centari uses its patent-pending Deal Reasoning Engine to extract high-fidelity data from complex transactional documents. The technology traces defined terms, maps conditional logic and reconciles interdependent provisions to create a queryable dataset that grows with each transaction. Intelligence enables natural language search across deal history and real-time negotiation support, whilst Views allows firms to create data visualisations for internal teams and clients. Customers include Ropes & Gray, Fried Frank and Willkie Farr & Gallagher across the US, UK and Australia.
Centari has announced $8.4 million in Series A funding. The company, which focuses on high-stakes contract review, plans to enhance its legal team by hiring attorneys from prestigious firms like Kirkland and Davis Polk.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Legal
Company Size
11-50
Company Stage
Series A
Total Funding
$8.4M
Headquarters
San Francisco, California
Founded
2023
Find jobs on Simplify and start your career today