N
Noetica AI
Noetica is an AI market-intelligence platform for deal professionals, founded in New York in 2022 and acquired by Thomson Reuters in February 2026, which has said it intends to integrate the platform into CoCounsel. Its proprietary AI automatically indexes terms from public and private transactions into a knowledge graph of more than 1.5 billion terms across more than 3 million deals and 60-plus transaction types in debt finance, capital markets, securities and M&A. Transactional lawyers use it to benchmark the language and numbers in their own deals against market comparables, search for precedents by concept, follow how terms move over time and filter by factors such as opposing counsel, market cap and credit rating; investment teams use AI term ratings to assess credit deal risk.
Firms can run the analytics over their own private deal library. The company describes a single-tenant architecture with no third-party AI providers. Pricing is not published.
Capability grades
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
The models are the product. Noetica's proprietary AI builds the dataset itself, automatically indexing terms from public and private deal documents with no human tagging, and every feature a buyer uses sits on that output: natural-language term search, qualitative and quantitative benchmarking against market comparables, term trends and AI term ratings for credit deals. Without the models there is no dataset to query. Verified 22 September 2026.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Accuracy is asserted rather than measured. The product pages promise unmatched accuracy and accurate answers, and term search surfaces precedents that addressed similar structures, but 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. Verified 22 September 2026.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
Checked the home page, the solution and customer pages, the About page, the Terms of Service and the Privacy Policy on 22 September 2026. No human oversight position is published: nothing describes who reviews the AI's extraction of terms into the dataset, how a lawyer checks a benchmark or rating before relying on it, or what the output may not be used for. Verified 22 September 2026.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Named customers, and figures without them. Lawyers at Foley & Lardner, Latham & Watkins, Skadden and Ropes & Gray are quoted by name and title. The figures, a 95 per cent reduction in transactional research time and attorney engagement on 85 per cent of business days, are not attributed to any customer, dated or explained. The company's quarterly capital markets reports have been cited by Bloomberg and CNBC, which shows the dataset in use but not a customer outcome. Verified 22 September 2026.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
Strong commitments in marketing, none in the published terms. The knowledge management page promises true data isolation through a single-tenant architecture, no third-party providers and no shared models, and says a firm's private deals stay private, and firms can run the analytics over their own deal library. The published Terms of Service are a user-level agreement that says nothing about confidentiality, training or privilege and defers to an organisation agreement that is not published.
The market dataset is described as spanning public and private transactions without saying where the private transactions come from. Verified 22 September 2026.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
A clear disclaimer in the user terms. 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, that 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. Verified 22 September 2026.
AI Governance and Bias Disclosure
Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
Checked the home page, the solution and customer pages, the About page, the Terms of Service and the Privacy Policy on 22 September 2026. No AI governance framework, accountable owner, testing before release or bias disclosure was located, including any statement that the parent's AI principles apply to this product. Verified 22 September 2026.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
A generic privacy policy and a tenancy claim. The Privacy Policy covers personal information of users of the websites and services, with standard security language and no retention period, and the Terms of Service tell users to keep their own copies of content they post. The knowledge management page's single-tenant, no-third-party claim is the only statement about what happens to deal documents. No subprocessor list, retention or deletion commitment, or incident practice is published. Verified 22 September 2026.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
Only standard clauses, and no remedy for output. The Terms of Service provide the service and its content as is, disclaim all warranties, and cap liability at the greater of the fees the user's organisation paid for that user's access in the prior 12 months or a small fixed sum; no indemnity from Noetica appears. The organisation agreement, which the terms say prevails and governs disputes, is not published. Verified 22 September 2026.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
Checked the home page, the solution and customer pages and the About page on 22 September 2026. The knowledge management page mentions native integrations and integrating market intelligence into a firm's knowledge systems, but no integration is named or described. Verified 22 September 2026.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
Tenancy is stated; location is not. The knowledge management page describes a single-tenant architecture, and the Thomson Reuters acquisition announcement of February 2026 describes secure, single-tenant deployments. No hosting provider, region, residency option or processing location is published. Verified 22 September 2026.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
Checked the home page, the solution and customer pages, the About page, the Terms of Service and the Privacy Policy on 22 September 2026. The product is described as highly secure with complete security assurance, but no independent certification or audit is named and no trust centre is published. Verified 22 September 2026.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
An architecture statement without detail. The company describes its AI as proprietary and purpose-built, and the knowledge management page states there are no third-party providers and no shared models, within a single-tenant architecture. The models themselves are not described or named, and no commitment to notify customers of model changes is published. Verified 22 September 2026.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
Checked the home page, the solution and customer pages and the About page on 22 September 2026. No price, tier or unit of charge is published; every route leads to a demo request. Verified 22 September 2026.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
The buyers and the work are clear: transactional attorneys in capital markets, finance and M&A, law firm knowledge management and innovation teams, and credit and investment professionals, across more than 60 transaction types including bank financing, real estate and executive compensation. What the dataset does not cover, by jurisdiction, deal size or document type, is not stated. Verified 22 September 2026.
3 public documents
The public pages on file for Noetica AI, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
-
Fabricated Citation Record
Read Sep 22, 2026
-
noetica.ai/privacy-policy1 signal
Third Party Request and Subpoena Notice
Read Sep 22, 2026
-
noetica.ai/terms-of-service1 signal
Bar Guidance Alignment
Read Sep 22, 2026
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.
The published Terms of Service and Privacy Policy, read on 22 September 2026, do not address whether customer deal documents are used to train models in either direction. The terms defer to an organisation agreement that is not published. The knowledge management page says there are no shared models, without using the word training.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
Checked the Terms of Service, the Privacy Policy and the product pages on 22 September 2026. No retention period, deletion commitment or customer control over how long queries, results or uploaded deal documents are kept is published.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material addresses walls or matter level segregation.
Checked the product pages, the Terms of Service and the Privacy Policy on 22 September 2026. The company describes isolation between customers through single tenancy, but nothing addresses walls or permissions between matters, clients or users within a firm, which matters where a firm runs analytics over its own private deal library.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.
The Privacy Policy reserves the right to access, preserve and disclose information to comply with law enforcement requests and legal process, such as a court order or subpoena. No commitment or reservation regarding notice to the customer is located in the published documents.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
Checked the home page, the solution pages and the About page on 22 September 2026. The dataset is described as terms from more than 3 million public and private transactions, but no source is named: nothing says whether public deals come from regulatory filings, how private transactions enter the market dataset, or under what licence.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
Checked the home page and the solution pages on 22 September 2026. The product benchmarks deal terms rather than citing legal authority, and nothing addresses checking authority for subsequent history.
Refusal and Uncertainty Behaviour
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
Checked the home page and the solution pages on 22 September 2026. Benchmarks show a market prevalence score, but no confidence indicator for the AI's extraction of a term, and no path in which the system declines when comparables are too few, is described.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
Searched the AI Hallucination Cases database maintained by Damien Charlotin on 22 September 2026 for Noetica, and no recorded case was returned. No court order, opinion or disciplinary record naming the product was located. This is a statement about the public record rather than a finding about the product.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials refer to professional responsibility in general terms without naming guidance.
The Terms of Service state that Noetica is not a law firm, that information on the service is not legal advice, that no attorney-client relationship or privilege is created, and that users needing legal advice should consult a licensed attorney. No bar or ethics opinion is named.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.
The knowledge management page claims the product cuts transactional research time by more than 95 per cent on average, allowing the time to be reallocated to billable hours and other projects. Nothing addresses how research done with the product is billed or disclosed to the firm's clients.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
No subprocessor or model provider list was located on the product pages, the Terms of Service or the Privacy Policy on 22 September 2026. What a firm can forward to a client is the marketing statement of single tenancy with no third-party providers and no shared models.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
Checked the product pages and the Terms of Service on 22 September 2026. No record of AI involvement in a benchmark or analysis, export of that record or disclosure guidance is described.