Head of Sales - Legal

Introducing Agentic Review: the fastest path to deal data you can trust. October 13, 2026 On this page Trusted data, faster Your deal history, where decisions get made Putting your institutional data to work across your AI stack Today Centari is releasing Agentic Review in preview, which shortens the path to verified deal data, together with updates that put that data to work in live negotiations and from your email inbox. In a demo, AI platforms for deal work look alike: a chat window, a grid, fields pulled from a contract. Every firm and fund now has capable AI tools in its tech stack, and for ad hoc work they are useful. The real test comes after the demo. At a law firm, a partner has to stand behind the output in front of a client. At a fund, the output has to hold up in an audit. AI outputs that appear in seconds still have to be checked. When no one checks them at the source, every end user has to check them again, on every query and for every downstream use case. Centari built Centari to check once, at the source, so the data becomes an institutional asset that can be relied on everywhere. Unverified data is a liability. Verified data is an asset. Agentic Review gets your team to the asset sooner. A data asset you can trust starts with how Centari reads a document. Deal documents are systems of logic. A defined term on page 12 controls a covenant on page 47. A side letter changes what a partnership agreement means for an LP. An amendment two years later modifies key provisions that came before it. Centari's Deal Reasoning Engine maps how a document is built before extracting anything, and reasons across every related document in the deal, amendments and side letters included. Every data point Centari returns is cited to its source language. Its frontier document understanding capability is why the most demanding transactional practices in the world, including Ropes & Gray, Willkie Farr & Gallagher, Fried Frank and Wilson Sonsini, run their deal intelligence on Centari. And the results are measurable. At leading Australian law firm Gilbert + Tobin, analyzing a deal with 200 data points used to take a full day and now takes under an hour. Trusted data, faster. Centari built Centari around human-in-the-loop verification, combining industry-leading data quality with a streamlined interface to audit AI outputs. Agentic Review, now in preview, keeps the human in the driver's seat while removing time-consuming repeated checks. Centari recognizes patterns in how your team approves outputs and can now auto-verify high-confidence answers, freeing reviewer time to focus on just the answers that require a judgment call. Administrators have complete control over where Agentic Review runs, and every automatic verification stays in the audit log. Every review your team completes makes the next one faster, and every verified deal builds AI-ready data your organization can rely on for years. Your deal history, where decisions get made. Verified data pays off at the moment of a decision, and decisions rarely get made inside a database. Today's release brings your organization's deal history to the surface in two more places where decisions happen: live negotiations and your email inbox. The markup from the other side. When a markup lands on your desk, the question is always the same: how far does this drift from what Centari has accepted before? Now you can upload the draft to Centari Intelligence and get a reliable answer based on your deal history. Lender's counsel can go into the client call with specific examples of where a borrower's first turn of a credit agreement strays from terms accepted from comparable borrowers, with each point cited to a prior deal. A fund's IR team can see how an incoming side-letter request compares with every side letter the fund has granted. Every answer draws on your own history. The question in your inbox. For deal professionals, work happens in email. You can now access Centari Intelligence directly from your inbox without opening another system. The next time someone asks, "What indemnity caps have we accepted in our last ten mid-market SPAs?" simply forward the question to Centari and get an answer back for your review in seconds. Replies come only to you, under the same access controls and ethical walls as the platform. Putting your institutional data to work across your AI stack. Your data should work for you across every tool your organization runs. Centari is built for interoperability. The Centari MCP Server connects your deal database to all applications that support MCP, the open standard for connecting AI tools to data, so an answer in a general purpose platform draws on the verified record in Centari. Every organization can now buy capable AI. No one can buy your deal history. Private markets run on documents, and Centari is building the information infrastructure to put every one of them to work. To see what your own documents can do, request a demo.

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.