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.
Work here?Claim your company
Industries
Company Size
11-50
Company Stage
Series A
Total Funding
$8.4M
Headquarters
New York City, New York
Founded
2023
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
Total Funding
$8.4M
Below
Industry Average
Funded Over
1 Rounds
Industry standards
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Remote Work Options
Unlimited Paid Time Off
Hybrid Work Options
Meaningful equity in a high-growth startup
Competitive salary
Centari Precedent Intelligence: retrieval powered by your deal data. August 13, 2026 On this page Precedent Search: find language by meaning, not just by name Precedent Capture turns attorney judgment into a new type of data asset Multi-Doc Compare shows how a provision was negotiated across the firm's deal history Available now Centari turns a firm's deal documents into a structured, citation-backed database of its deal history. A firm's knowledge of deal terms and market trends is its most defensible advantage, yet for most firms it remains trapped in complex agreements and data silos. Nowhere is this gap more costly than in precedent retrieval. The best inspiration for a clause is usually the firm's own, and even after four years of legal AI platform pilots and rollouts, partners still tell Centari, Inc. they're struggling to find the language they need. Today, Centari, Inc. is launching three new Precedent Intelligence capabilities: Precedent Search, Precedent Capture, and Multi-Doc Compare. Precedent Search finds the exact provision a deal team needs across every matter. Precedent Capture lets the team refine and own the citations behind each provision. Multi-Doc Compare displays provisions side-by-side across matters. All three run on the same Deal Reasoning Engine that Centari customers use today to create proprietary deal databases at scale with attorney-grade accuracy. Precedent Intelligence works with the firm's structured data, not an index of documents, so every piece of information an attorney retrieves from the database comes with rich source citations and context. Precedent Search: find language by meaning, not just by name. Precedent Search brings clause-level retrieval into Centari Intelligence, the same conversational interface where attorneys already query the firm's structured deal data. A deal team can now retrieve an entire provision by describing what it does, not by guessing what words it contains. A partner is negotiating a deal where the signing may be delayed. The question is what termination rights the client should have if the signing slips. The partner remembers drafting a similar clause, but not the client or the matter it came from. In Centari, the partner can now describe the scenario and Precedent Search will locate the exact provision that matches it. Institutional memory stops being a matter of who was on the deal. Precedent Capture turns attorney judgment into a new type of data asset. The Deal Reasoning Engine gives every data point it extracts a pinpointed citation. Precedent Capture gives control of those citations to the deal team, so those who know the matter decide what the firm learns from it. In the Centari document viewer, users can adjust any citation's boundaries or attach a new one. On a closing date, that might mean extending the citation from the initial closing definition to take in the additional closings, so the next attorney searching for closing mechanics sees the full structure. The adjustment takes seconds. Edits are visible to everyone with access to the matter, and every change is tracked in the data point's history. Before a heavily used precedent matter circulates firm-wide, a knowledge management lead can curate its citations, so the firm accumulates language its own attorneys have deemed valuable in real world settings. Every refinement sharpens what Precedent Search returns for the next team that asks. Multi-Doc Compare shows how a provision was negotiated across the firm's deal history. Multi-Doc Compare puts the firm's negotiating history on one screen. Until now, that comparison lived in a partner's memory: recalling past deals, opening one file at a time, finding the clause in each, and tiling the windows across the screen, with no structured deal data to narrow the search. Building the comparison set takes seconds. From the database, a deal team narrows by deal type or counterparty and selects the matters to compare. Centari opens the provisions and citations side by side. Which provision fits the active deal remains a judgment for the partner. A private equity deal team comparing indemnity packages across prior software acquisitions can see how survival periods, baskets, caps, and fraud carveouts were negotiated in similar deals, with each excerpt linked to its source. Centari highlights differences across the set, making variations visible without reading every document. How has the firm negotiated this provision across its last twenty deals? A knowledge management team reads the pattern in one place, rather than reconstructing it matter by matter. That pattern is the raw material for internal guidance, a client update, or the next pitch, converting the firm's dormant deal history into value for its attorneys and the clients they serve. Available now. Precedent Search, Precedent Capture, and Multi-Doc Compare are live for all Centari customers, and across every deal document already in the platform. Finding a provision becomes a quick question rather than an afternoon in the DMS. Verifying the citation behind it takes an edit rather than a workaround. Every firm now has access to fast, general-purpose AI. What sets a firm apart is its own deal history, which exists nowhere else. Search, capture, and comparison have each existed somewhere in a firm's tech stack. What has not existed is all three running on the same structured deal data, in one place. Precedent Intelligence puts those provisions where the firm's deal intelligence already lives. Every provision the deal team captures makes the firm's next negotiation sharper. To see Precedent Intelligence running on your firm's own deal history, book a demo.
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.
Find jobs on Simplify and start your career today
Industries
Company Size
11-50
Company Stage
Series A
Total Funding
$8.4M
Headquarters
New York City, New York
Founded
2023
Find jobs on Simplify and start your career today