Centari vs Noetica AI: how they compare in 2026

Centari sells the database its AI builds. The Deal Reasoning Engine reads a firm's credit agreements, limited partnership agreements and M&A closing sets and turns them into structured, citation-backed data points, and the platform overview describes multi-stage reasoning that resolves defined terms, traces cross-references and evaluates conditional logic in sequence rather than skimming a document as flat text. Everything else a firm buys runs on that output: precedent search, market benchmarking, Views dashboards, Projects grids and the Centari Intelligence sidebar. The MCP server and Microsoft Copilot integration let a firm's other AI tools query the same data, and they belong to the integration picture rather than to what Centari itself generates. Remove the models and there is nothing in the database to search or chart.

Noetica's proprietary AI builds the dataset itself, automatically indexing terms from public and private deal documents with no ontologies and no human tagging. Every feature a buyer uses sits on that output: term search in natural language, qualitative and quantitative benchmarking against market comparables, term trends, deal and term level risk ratings for credit deals, and analysis of a live draft uploaded for comparison against relevant benchmarks. Without the models there is no dataset to query.

Every extracted value comes back with a citation, and nothing about accuracy is measured. The platform overview says each data point traces to its source language and connects to related provisions across the deal documents, with a verification view for checking it, and the 24 August 2026 release post says the Centari Intelligence sidebar answers with citations to the source language that a partner can open in one click. The method behind the extraction is described rather than asserted: defined terms resolved, cross-references traced, conditional logic evaluated in sequence. What a buyer cannot weigh is performance. The site claims attorney-level precision and unmatched accuracy with no test set, no score and no failure mode named, so the only check on a given field is the firm's own reviewer. The citations run to the firm's own agreements rather than to primary law.

The product pages promise unmatched accuracy in benchmarking, accurate answers for knowledge management teams and unprecedented accuracy in credit risk reviews, and term search surfaces precedents that addressed similar structures. Nothing describes how a benchmark or rating ties back to the underlying deal documents, whether a user can open the source agreement behind a figure, or how often extraction is wrong. The Terms of Service say information on the service is not guaranteed to be correct, complete or up to date.

Centari is built around people checking what the AI extracts, and it gives a firm a way to track that checking. The 24 August 2026 release post describes the product as designed for human in the loop verification and introduces Tasks, which gathers every open verification step across Databases and Projects so an owner can assign reviewers and see which data points a person has checked. The platform overview describes a verification view beside each extraction. Projects are kept apart from the governed record: nothing in a Project writes back to a Database. What is not published is where the system itself draws a line. Nothing says when extraction stops or flags low confidence, and nothing says what unverified output must not be used for, so those rules are left to each firm.

Terms enter the dataset through automatic indexing with no ontologies and no human tagging, according to the legal solutions page, and the investment pages describe uploading a live draft for instant term analysis and automating the review of terms. Nothing describes who checks the AI's extraction of terms into the dataset, how a lawyer verifies a benchmark or rating before relying on it, or what the output may not be used for.

The homepage, platform overview and For Law page carry attributed endorsements from Fried Frank (Global Head of Innovation and Knowledge), Willkie (Counsel, Asset Management), Ropes & Gray (Counsel), Wilson Sonsini (Senior Manager of KM) and Gilbert + Tobin (Partner, Corporate Advisory), and from Sentinel Global's general counsel on the fund side. The blog lists a Gilbert + Tobin case study dated 30 April 2026 describing a firm wide M&A deployment, and announcements of the Fried Frank and Ropes & Gray adoptions. No figure for time saved, accuracy or outcomes is published.

Lawyers at Foley & Lardner, Latham & Watkins, Skadden and Ropes & Gray are quoted by name and title. The figures, a 95 percent reduction in transactional research time and attorney engagement on 85 percent of business days, are not attributed to any customer, dated or explained. The home page adds more than $1 trillion in corporate transactions benchmarked in 2025, marked as an estimate, and more than 3 million deals processed. The company's quarterly capital markets reports, the latest covering the fourth quarter of 2025, have been cited by Bloomberg and CNBC, and the news page lists further coverage in Reuters, Fortune and the Wall Street Journal, which shows the dataset in use but not a customer outcome.

The commitments about client material are specific, and they live on a security page rather than in a contract. The security page states that customer data is siloed and never commingled, with single tenant deployments available, and that it is never used to train or fine tune the underlying models. It says data is encrypted in transit and at rest with bring your own key supported, and that access can be controlled down to the data point with SSO and ethical wall integration. The Terms of Use dated 16 September 2025 say nothing about customer content and state that they sit alongside any other agreement. That other agreement is not published, so a buyer cannot read any of these promises as a term before signing. Nothing addresses privilege or work product in the deal documents a firm uploads, how long they are held, or what OpenAI and Anthropic, named as AI providers in the Trust Center, may retain. For a product that ingests a firm's whole deal history, that last gap is the one a general counsel will raise first.

The legal solutions FAQ says Noetica never trains its models on client data and trains them only on publicly available data, and describes dedicated single-tenant deployments in which a customer's data never leaves its controlled environment, with complete data isolation. The knowledge management page promises true data isolation, no third party providers and no shared models, and says a firm's private deals stay private; firms can run the analytics over their own deal library. None of this appears in the published Terms of Service, an agreement at user level that says nothing about confidentiality, training or privilege and defers to an organization agreement that is not published, and the Privacy Policy shares information with vendors and service providers subject to the confidentiality terms of that agreement. Nothing addresses walls between matters or users inside a firm, or privilege and work product. The market dataset is described as spanning public and private transactions without saying where the private transactions come from.

Section 4 of the Terms of Use, dated 16 September 2025, is direct about what Centari is not. It states that the company is not a law firm, attorney, staffing firm or lawyer referral service, that nothing on the service is legal advice, that no attorney-client relationship arises, and that employees who are licensed attorneys are not practicing law in that capacity. The audience is professional throughout: transactional practices, knowledge teams, in-house legal and investment funds. The other half of the question is untouched. Nothing addresses how a supervising lawyer should treat extracted terms that feed advice, negotiation positions or the External Views dashboards a firm shares with its own clients, and no jurisdiction limits are stated.

The user terms carry a clear disclaimer. The Terms of Service state that Noetica is not a law firm or attorney, cannot perform services performed by an attorney and is no substitute for one. They say information on the service is not legal advice and is not guaranteed to be correct or current, that no attorney client relationship or privilege is created, and that anyone needing legal advice should consult a licensed attorney. Nothing addresses the supervising lawyer's own duties when relying on market data in advice to a client, and no ethics guidance is named.

What Centari publishes is how a firm checks the AI's work, not how Centari builds and controls it. Calibration of each firm's taxonomy by domain experts is described on the homepage and the For Law page, an account team of attorneys and engineers runs it, and the 24 August 2026 release post describes the Tasks verification workflow. That tooling helps a firm govern its own use; it says nothing about how Centari tests and controls its models. No accountable owner inside the company is named, nothing describes what is tested before a release ships, no evaluation result is published, and nothing addresses whether extraction quality is uneven across document types, drafting styles, jurisdictions or languages.

No AI governance framework, accountable owner, testing before release or bias disclosure is published, including any statement that the parent's AI principles apply to this product.

The controls protecting the data are published; what happens to a firm's documents afterwards is not. The security page states encryption in transit and at rest with bring your own key, siloed data with single tenant options, access control down to the data point, SSO and regular penetration testing, and the Trust Center lists security controls including a record of incidents and a subprocessor list. No retention period for uploaded deal documents or for questions put to the product is published, no deletion commitment applies on termination, and no incident notification timeline is published. The Privacy Policy dated 16 September 2025 covers personal information collected through the website and services rather than the contracts a firm loads, and no customer agreement or data processing addendum is published.

The Privacy Policy covers personal information of users of the websites and services, with reasonable physical and electronic safeguards, no retention period and account deletion on request by email. It names Google Analytics and shares information with vendors and service providers under the confidentiality terms of the organization agreement, which is not published. The legal solutions FAQ describes end-to-end encryption, comprehensive access controls and dedicated single-tenant deployments that keep a customer's data inside its controlled environment, and the knowledge management page says no third party providers are used. The Terms of Service tell users to keep their own copies of content they post. No subprocessor list, retention or deletion period for deal documents, or incident practice is published.

What Centari refuses is published in full; what it stands behind is not. The Terms of Use dated 16 September 2025 provide the service as is and disclaim warranties of accuracy, reliability and fitness (section 15). They cap total liability at the greater of fees paid in the prior six months or one hundred US dollars (section 16), and require the customer to indemnify Centari (section 17). No indemnity runs the other way, no warranty attaches to extracted output, and no insurance position appears. The Terms state that they sit alongside any other agreement. That agreement, where an enterprise buyer's real allocation of loss would sit, is not published, so the only readable position allocates the risk of a wrong extraction to the firm.

The Terms of Service provide the service and its content as is and disclaim all warranties, including that the service will be free of errors. Section 14 excludes indirect and consequential damages and caps liability at the greater of the fees the user's organization paid for that user's access in the prior 12 months or US$100. Section 12, titled Indemnity in the survival clause, is reserved, so no indemnity from Noetica appears. Disputes are governed by the organization agreement, which the terms say prevails and which is not published.

The connections are named and none of them is documented. The platform overview says Centari's MCP Server makes a firm's deal intelligence available to the AI tools it already uses. The blog lists a 16 June 2026 announcement of that server and a Microsoft Copilot integration in one click, and the security page names SSO and ethical wall integration. There is no integrations page, no developer documentation and no API reference, and the June announcement does not open a readable page. Nothing states how deal documents get from a document management system such as iManage or NetDocuments into Centari, which is the step a firm has to plan and staff, or what the Copilot integration exposes to a user's assistant. Projects grids are described as exportable.

The legal solutions FAQ names integrations with iManage and NetDocuments, which it says can be customized and curated, as well as Aderant and E3. The knowledge management page mentions full-service deployment and native integrations into a firm's knowledge systems, and the Terms of Service describe tools that export information, including user content, to third-party services. Nothing describes what moves through any of these connections, in which direction, or what a firm must configure.

The tenancy model is stated and the geography is not. The security page says customer data is siloed and never commingled, that single tenant deployments are available, that bring your own key encryption is supported, and that regional hosting and processing are available for customers around the world. No region is named, nothing says which arrangement or tier carries single tenancy, and nothing separates where the database sits from where OpenAI and Anthropic process the text of a firm's agreements. A firm with a UK or EU residency requirement would have to establish all of that in a sales conversation.

The legal solutions FAQ describes dedicated single-tenant deployments that keep a customer's data within its controlled environment, the knowledge management page describes a single tenant architecture, and the Thomson Reuters acquisition announcement of February 2026 describes secure deployments with a single tenant. The Privacy Policy says the services are hosted in the United States and that data may also be transferred to other countries for storage and processing. No hosting provider, region choice or residency option is published, and processing is not distinguished from storage.

Certification claims on Centari's homepage and security page cover SOC 2 Type II and ISO 27001, with regular third party penetration testing and a linked Trust Center hosted by Sprinto. Only part of the Trust Center could be read. The part that could be read shows a compliance section with two entries marked compliant, a list of controls and a subprocessor list. It names no auditor, report period or scope, and no route to obtain the reports, so the certifications stand as the vendor's statement until a buyer sees the reports.

SOC 2 Type II compliance is stated in the legal solutions FAQ, alongside end-to-end encryption and access controls, and the knowledge management page describes a highly secure platform with complete security assurance. No auditor, scope, report date or way to obtain the report is published, and there is no trust center.

The providers are named; the models are not. Centari's Trust Center carries a subprocessor list naming OpenAI and Anthropic as AI providers and Google as a cloud provider. Only part of that list could be read, so it may name others. The marketing pages refer to 'our underlying AI models' and to a patent pending Deal Reasoning Engine without identifying either: no model, no version, and nothing about where the AI providers run. No commitment to tell customers when the models behind their extractions change is published on the security page, the platform overview or the Trust Center, which matters here because a firm's benchmarks are built on extractions made by whatever model was running at the time.

The company describes its AI as proprietary and purpose-built, developed by a team that pairs transactional experience with machine learning work. The knowledge management page states there are no third party providers and no shared models, within a single tenant architecture, and the legal solutions FAQ says the models are trained only on publicly available data. The models themselves are not described or named, and no commitment to notify customers of model changes is published.

Nothing about price is published: no pricing page, tier name, unit of charge, trial or figure. Every route offered is a demo request. Section 13 of the Terms of Use reserves the right to charge fees for the services without stating what they are.

No price, tier or unit of charge is published; every route leads to a demo request.

Who the product is built for is set out clearly; where it stops is not. The For Law page addresses transactional practices and names partners, knowledge management, associates and business development as its users, and the For Finance page addresses investment funds across legal, investor relations, finance and compliance. Document types are named rather than implied: credit agreements, limited partnership agreements and M&A closing sets, with the work described as high stakes M&A, fund formation and financings. The demo form offers law firm, in-house legal, financial services and government. Nothing states what falls outside, such as litigation material, agreements in other languages, or deal types for which the firm's taxonomy has not been calibrated, and calibration is how every deployment starts.

Noetica sells to transactional attorneys, law firm knowledge management and innovation teams, and credit and investment professionals. The legal solutions FAQ says the platform applies to all transactional practices, with core users in capital markets, M&A and finance, and the pages cover more than 60 transaction types including bank financing, real estate, executive compensation, private credit and rescue financing, from boutique deals to billion-dollar ones and from public to private issuers. What the dataset does not cover, by jurisdiction, deal size or document type, is not stated.