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Augmetec
Augmetec builds LEIAA, a command center for internal and regulatory investigations. It holds a whole investigation in one place rather than across spreadsheets, shared drives and mailboxes: scoping, evidence management, interviews, analysis and reporting through to the final report. The organizing idea is the Line of Inquiry, the question a team is pursuing, against which the platform identifies relevant evidence, builds fact patterns and surfaces answers, with tools that flag altered documents.
Smart actions identify witnesses and prepare interview questions in real time, build chronologies, produce tagged notes and suggest next steps. The platform also creates evidence bundles automatically and finds similarities with the organization's past investigations. Each customer gets a dedicated instance on its own subdomain, with single sign on and integrations with document management systems and Microsoft and Google tools.
Augmetec publishes its master services agreement and data processing addendum, including a full schedule of technical and organizational security measures. It sells to law firms and to in house legal, ethics and compliance teams. The company was founded by an investigations lawyer with an operations leader and a machine learning specialist.
Augmetec, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
Alternatives to Augmetec
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Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
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- SSmarshSmarsh is a communications capture, archiving, surveillance and discovery platform from Smarsh Inc. of Portland, Oregon.
- CCasefleetCasefleet is case chronology and fact management software for litigators, operated by LAWPRCT, Inc. of Atlanta, Georgia, and sold to plaintiff and defense firms since 2016.
Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
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 drive several core capabilities on an investigations platform that would work without them. The AI functions are named on the platform page, as updated in November 2025: identifying relevant evidence and building fact patterns against a Line of Inquiry using what the vendor calls accurate AI algorithms, document fraud detection, automatic identification of witnesses and preparation of interview questions, chronology building, and AI driven triage, scoping and categorization of cases.
Underneath sits a full case management system that does a great deal on its own: a central data lake, evidence management, templates, customizable workflows, dashboards, collaboration, single sign on, enterprise integrations and automated evidence bundles. Without the models, an investigations team still has a working command center. The master services agreement never mentions artificial intelligence in its operative terms.
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 and defensibility are the central promise, and neither is measured. The platform page says a team can answer questions defensibly, that investigations are run accurately and defensibly, and that evidence identification uses accurate AI algorithms, alongside industry leading document fraud detection. None of those claims carries a figure, test set, evaluation, error rate or statement of failure modes. Grounding is not described: nothing says whether a finding surfaced against a Line of Inquiry links back to the document and page it came from, the control a reader would look for when output feeds regulatory reporting.
The agreement is more candid than the marketing. Clause 2.5 has the customer acknowledge that the software may contain bugs, errors, defects and design flaws and may produce unexpected results. A product sold on defensibility is contracted on an acknowledgment of unexpected results.
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.
The level of automation is stated precisely for some features, and no control structure is described. The platform page says case scoping is semi automated, smart actions suggest team actions, and witnesses are identified and interview questions prepared automatically in real time. Semi automated and suggest are real words about where the machine stops. Nothing says which outputs need review before use, what a reviewer sees, when the system acts without a person, what happens when a fraud detection flag is wrong, or whether generated material is marked as generated.
No abstention behavior or confidence signal is described. The agreement assigns the consequence without describing a mechanism: under clause 10.2 the customer bears sole responsibility for results and conclusions drawn from the software. For a product that prepares interview questions and identifies witnesses in fraud or bribery investigations, the missing review point is the live question.
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.
No production evidence is published. No customer is named anywhere on the estate, no logo wall appears, no case study exists, and no deployment is described or dated. The single customer voice is one unattributed sentence on the About page, carrying no name, role or organization, saying that LEIAA is clearly built by practitioners for practitioners. Two figures are published on the platform page and neither is attributed or explained: administrative effort alleviated by up to 45 percent, and the platform being up to 80 percent cheaper than other platforms, the second being a competitive pricing claim rather than an outcome and naming no comparator.
The founding team's own experience is set out in detail, including more than 150 investigations conducted by the chief executive before founding the company, which is credential rather than deployment evidence and is recorded as such.
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.
Contractual commitments are substantive and refer to privilege expressly, without describing how privileged material is handled. Clause 8.3 of the master services agreement is the core: the customer keeps full title to Customer Content, and without consent Augmetec will not access, use or disclose it except as reasonably needed to support use of the software, answer support requests, or for other purposes the customer authorizes in writing.
That is a closed list of purposes, not an open license. Clause 8.4 allows collection of usage and performance data only if it cannot identify the customer or its customers and is not confidential or privileged in nature. Clause 6 makes Customer Content the customer's confidential information for five years, and the addendum puts everyone processing the data under a strict duty of confidentiality. Separation is documented: each customer has a dedicated instance, and Annex II says segregation procedures keep other customers out.
Nothing describes how privileged material is handled inside the platform, no walls between matters within a customer are described, and no model provider is named.
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.
Nothing published addresses the advice line. No statement that Augmetec is not a law firm, no disclaimer that output is not legal advice, nothing on the professional judgment needed before a finding is acted on, no jurisdiction limit, and nothing on supervision or competence is published. The platform, about and security pages and the master services agreement, the natural home for such a clause, contain none. The nearest provision is clause 10.2, under which the customer bears sole responsibility for results and conclusions, which allocates liability rather than saying what the product is not.
The exposure is specific: the platform builds fact patterns, identifies witnesses, prepares interview questions and produces investigation reports in matters of fraud, bribery and misconduct, where a conclusion affects named people. The website terms of use page was not opened and may say more.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
No governance position of any kind is published. There is no responsible AI page, principles statement, accountable owner for model behavior, evaluation regime before release, AI management system or certification such as ISO 42001. Nothing addresses uneven output, which matters here: a system that identifies which people are witnesses, flags documents as fraudulent and builds fact patterns about alleged misconduct is making determinations about named people, and nothing describes how those are tested or governed.
The governance material that exists is about security: an information governance committee and ISMS group, a person overseeing information security and compliance, and certified security staff. The chief security officer holds a doctorate in machine learning, a credential rather than a governance framework.
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.
Stewardship is documented in detail, with one gap. Annex II of the published addendum runs to several pages: AES-256 at storage system and device level with separately keyed backups, TLS 1.2 or higher in transit, VPN and multi factor authentication, access control lists on a need to know basis with differentiated profiles, automatic account locking and idle logout, network separation through a DMZ, a web application firewall, logging of access, changes, entries and deletions, intrusion detection, disaster recovery and continuity planning, physical security of data centers, an ISMS group and a named security function, internal and external audits, penetration testing with remediation, and a responsible disclosure program.
Incident practice is contractual: clause 2.13 commits to telling the customer of a security incident without undue delay and within 72 hours, and to cooperating with the customer's own reporting duties. Clause 2.14 covers deletion: destroy or return on written instruction at termination. No retention period is stated; data is kept as required to perform the agreement.
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.
A real two sided position is published in full, with a cap a buyer should read before signing. Clause 9.2 commits Augmetec to indemnify the customer against direct damages from third party intellectual property claims connected to use of the software, with remedies at 9.3: securing continued rights, or replacement or modification on stated equivalence conditions. Clause 10.3 keeps liability for death or personal injury, fraud and willful misconduct outside all caps.
Against that, clause 10.1 provides the software as is, with the customer assuming the liability. Clause 10.4 caps liability at the lesser of one year's subscription fees or twenty thousand US dollars, and the IP indemnity at the lesser of two years' fees or fifty thousand dollars. For an investigations platform sold to enterprises, twenty thousand dollars is a low ceiling, and it applies to everything except the IP indemnity.
The exclusions in 10.4 expressly cover loss of privilege and loss of confidentiality. Nothing warrants the accuracy of any output.
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.
Integration is claimed as a core proposition, and no counterparty is named. The platform page promises core enterprise integrations, single sign on and secure integrations with existing platforms, document management systems, and Microsoft and Google. That names the productivity and identity tools, and document management only as a category. Clause 4 of the agreement covers third party services the customer connects and single sign on, and says connecting a service authorizes Augmetec to access and store information from it.
Nothing says what data moves between LEIAA and any outside system, in which direction, on what trigger, or what a firm must configure, and no API or developer documentation is published. The addendum mentions material from Microsoft Teams, Slack, WhatsApp, Telegram, Amazon Chime and Google Meet as categories of personal data that may be uploaded, not as connectors. A knowledge base on a third party support platform was not opened and may say more.
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 answered thoroughly and region not at all. The security page says, under the heading your LEIAA, your environment, that each customer's instance runs on a separate dedicated environment available only to that customer, on a virtual private cloud built for data isolation. Clause 10.1 of the agreement repeats that each customer's instance is held on separate dedicated infrastructure, and the software is reached at a customer specific subdomain of leiaa.com.
Annex II adds that customer data sits on its own instance with segregation procedures preventing access by other customers, and names Google Cloud Platform as the host. No region is named. The virtual private cloud is described as a global network across multiple regions, which describes reach, not residency. No region choice is offered and no residency commitment appears in the agreement, though the addendum includes transfer mechanisms through the EU standard contractual clauses and the UK addendum.
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.
Four certification marks appear as images, with no scope, date, auditor or report, and the agreement describes something weaker than the badges imply. The security page shows marks for ISO/IEC 27001:2022, HIPAA, GDPR compliance and an AICPA SOC logo. Each is an image with no text claiming certification, naming a certifying body or giving a period or scope, and one image file name misspells the statute it refers to. Nothing in the page text says any certification is held.
Annex II of the published agreement is more precise and points lower: it lists regular benchmarking and testing against industry standards, giving ISO 27001, the SANS Top 20 controls and NIST guidelines as examples, on certain systems. Benchmarking against a standard on some systems is not certification to it. A trust page exists at a published subdomain, named twice in the agreement for backup and disaster recovery detail and subprocessor change notices. It was not opened and may say more.
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.
The vendor refers to its algorithms and identifies nothing underneath them. The platform page speaks of accurate AI algorithms and AI-powered analytics, and the addendum's own definition of the services includes the development of future functions, features, tools, algorithms and models, so a model layer is acknowledged as existing. No model is named, no version, no provider and no hosting arrangement for the model layer, and no commitment to notify customers when any of it changes is published.
Clause 2.4 concedes the shape of the gap without filling it, stating that the services may use technology and data licensed by Augmetec from third parties, sublicensed to the customer, and naming none of them. One infrastructure provider is named and is not a model: Google Cloud Platform, identified in Annex II as the hosting environment and as the source of the secret management service. The approved subprocessor list at Annex III is referenced in the agreement and fell outside the extraction window of the published PDF, so its contents are unread and nothing is inferred from them in either direction.
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.
The unit and the commercial structure are established from the published agreement, and no figure appears anywhere. There is no pricing page in the site navigation and every route is a demo request. The agreement supplies the shape: the software is licensed under an Order Form as a Package with stated features and pricing, User Rights itemize the number of user licenses and the software instance subscribed to, each authorized user holds a single non-shareable account, and the commitment runs across an Initial Term with defined Renewal Terms.
A buyer can therefore establish that this is per-user licensing on a committed term with the package defined in an order form, and cannot establish any rate, band, minimum or implementation cost. One published number is a comparative claim rather than a price and is recorded as such: the platform page states that the product is up to eighty percent cheaper than other platforms, naming no comparator and no basis. The floor band does not fit, because the unit of charge is published even though the price is not.
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 practice is defined precisely, and the buyer boundary is left open. The product covers internal and regulatory investigations end to end, from scoping through evidence management, witness interviews and analysis to reporting, extending to ethics, compliance and regulatory reviews. The subject matter is evidenced: the addendum's data description names identity documents, invoices, expense receipts, financial payment data and material from corporate and ephemeral messaging apps, and the founder's background covers fraud, money laundering, bribery and corruption.
Users are law firms and in house professionals. Nothing else is stated: no size band, no jurisdiction despite an English law agreement and a UK base, no statement of which investigation types or regulated sectors the product does not suit, and nothing on languages for a platform taking in messaging data in many languages.
2 public documents
The public pages on file for Augmetec, 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.
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Client Data in Training, Prompt and Output Retention, Ethical Walls and Matter Segregation and 2 more
Read Sep 5, 2026
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Fabricated Citation Record
Read Sep 5, 2026
No published figure
- Augmetec does not publish a price. There is no pricing page, so you book a demo and get a quote.
- What the contract does tell you is how it is counted: you buy a set number of user licenses, and each license belongs to one named person who cannot share it.
- You commit to a fixed period, called the Initial Term, which then renews for further periods.
- What you get is called a Package, and the features and the price are both written into the order form you sign.
- The website claims the platform is up to 80 percent cheaper than others, without saying cheaper than what.
The structure comes from the published master services agreement, with no figure at any level. There is no pricing page, and every commercial route is a demo request. The software is licensed under an Order Form as a Package, with features and pricing set in that order form. User Rights itemize permitted use, including the number of user licenses and the software instance. Each authorized user has an individual account, and credentials may not be shared, though accounts can be moved to a replacement person.
The commitment runs over an Initial Term set in the order form, with Renewal Terms after it, and the license is a limited, nonexclusive, nontransferable and revocable subscription that ends with the term. A buyer can establish per user licensing on a committed term, with features and price in an order form, but no rate, band, minimum, currency or implementation cost. The agreement's liability caps are in US dollars, but those are limits, not a billing currency.
The platform page claims the product is up to 80 percent cheaper than other platforms, naming no comparator or basis; that is a comparison, not a price.
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?
Training occurs only where the customer has affirmatively enabled it.
Use of customer content is closed by contract except with written authorization, so training requires an opt in rather than being barred outright. Clause 8.3 of the master services agreement says that without the customer's consent Augmetec will not access, use or disclose Customer Content except as reasonably needed to support use of the software, answer support requests, or for other purposes the customer authorizes in writing.
Training falls outside the first two purposes and would need written authorization. Clause 8.4 allows usage and performance data only if it cannot identify the customer or its customers and is not confidential or privileged. Clause 2.3 of the addendum says Augmetec will never process the data for its own purposes or a third party's. The same document contains a tension. Annex I lists development and enhancement of the services among the activities for the transferred data, naming research and development of additional algorithms and models, and the addendum defines the services to include continuous development of future models.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
Retention is addressed in the published addendum and no period is stated. Clause 2.14 provides that Augmetec retains data as required to perform its obligations under the agreement, and that on termination or expiry it shall, on the customer's written instruction, destroy or make available for retrieval all data including all copies in its possession or control and any subcontracted for processing, with an exception where law requires retention, in which case the data is isolated and protected from further processing until deletion is possible.
That is a clear end-state with a customer instruction behind it and no clock attached to the relationship itself. Annex I states the period as the duration of the agreement and refers back to clause 2.14. Nothing separately addresses how long generated material persists, including chronologies, fact patterns, prepared interview questions or fraud detection outputs. Annex II records that published retention policies exist providing guidance on how long data should be kept accessible; those policies were not located on the estate.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
A separation model is documented at the architecture level. Annex II of the published addendum says customer data sits on its own instance, that only authorized users can reach it under strong segregation procedures, and that these keep other customers out. The security page describes the same thing in product terms: each customer's instance runs on a separate dedicated environment accessible only to that customer, on a virtual private cloud.
Clause 10.1 of the agreement confirms dedicated infrastructure, reached at a customer specific subdomain. Within a customer, Annex II adds rights by security group and access control lists on a need to know basis, with logging of access, changes, entries and deletions. Nothing describes walls between investigation teams within one organization, a live question when an investigation concerns colleagues who may also be users.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
A notice commitment exists in the published addendum, and the main agreement's compelled disclosure clause runs the other way. Clause 2.10 of the addendum requires Augmetec to give reasonable and timely help with any request from a data subject and any other correspondence, inquiry or complaint from a data subject, regulator or other third party about the processing. Where such a request goes directly to Augmetec, it must promptly tell the customer with full details.
That covers requests from regulators and third parties about customer data. Clause 6.2 of the main agreement, headed mandatory disclosure, puts the notice duty on the customer, who must give Augmetec as much notice as possible before disclosing Augmetec's confidential information under compulsion. No matching clause requires Augmetec to give notice before disclosing the customer's. No transparency report is published.
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.
No external body of law stands behind the product's output, so the question barely applies. The models work on the organization's own investigation data, described in the addendum as documents, contracts, invoices, expense receipts, identity documents, financial payment data and messages from corporate and ephemeral messaging apps, all uploaded by the customer. No case law database, statutory source, publisher or licensed reference set sits behind a finding, and the historical analysis feature compares against the customer's own past investigations.
One clause refers to licensed outside material without naming it: clause 2.4 says the services may use technology and data licensed from third parties and sublicensed to the customer, without identifying any provider or the kind of data. Searched the platform page, the about and security pages and the master services agreement with both annexes reached on 5 September 2026.
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.
Nothing addresses checking authority for subsequent history, and the product neither retrieves nor cites primary law. Its outputs are evidence identifications, fact patterns, chronologies, interview questions, fraud detection flags, investigation plans and reports, all drawn from the customer's own material. The nearest adjacent question is regulatory currency rather than case law, since the platform is sold for regulatory investigations and reviews and a regulatory obligation can change, and nothing published describes whether any regulatory content is maintained or checked. Searched the platform, about and security pages and the published agreement on 5 September 2026.
Refusal and Uncertainty Behavior
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.
Nothing describes what the system does when it cannot reach a reliable output, and the one candid statement is a liability acknowledgment, not a behavior. Clause 2.5 of the agreement has the customer acknowledge that the software may contain bugs, errors and defects, may have design flaws, and may produce unexpected results. That admits failure can happen without saying how the system signals or handles it. Nothing says whether a fraud detection flag carries a confidence level, whether an evidence search against a Line of Inquiry can return nothing, what happens when a document is unreadable or a fact pattern cannot be built, or whether generated interview questions are marked as machine suggested.
No abstention path or confidence indicator is described. Searched the platform page, the security page and the published agreement on 5 September 2026.
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.
The AI Hallucination Cases database maintained by Damien Charlotin was searched on 5 September 2026 on the product name LEIAA and on the corporate name Augmetec. No court order, opinion or disciplinary record naming the product or the company was located. One point of context: this tracker records hallucinated content in court filings, and the product's primary output is an internal or regulatory investigation report rather than a filing, so a negative result here covers less of this product's risk surface than it would for a drafting or research tool. This records the state of the public record on that date and is not a finding about the product.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
No located material engages with bar or ethics guidance at any level. No bar association, law society, rule of professional conduct, ethics opinion or regulator guidance for lawyers is named or referred to in general terms, and nothing addresses the professional obligations of a solicitor or in-house counsel conducting an investigation through the platform. Nor is there any adjacent statement of the sort that usually accompanies one, since no advice disclaimer and no statement that the company is not a law firm was located either.
The regulatory material the vendor does engage with is extensive and sits in a different field, covering UK and EU data protection law, standard contractual clauses and the UK international data transfer addendum. That is notable on a product built and sold by an investigations lawyer to law firms and in-house legal functions. Searched the platform, about and security pages and the published agreement on 5 September 2026.
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.
Efficiency and cost claims are published with figures, and nothing addresses the billing consequence. The platform page says administrative effort is cut by up to 45 percent, fact finding takes less time, routine tasks are automated to free time for analysis and strategy, and the platform is up to 80 percent cheaper than other platforms. All of that concerns the buyer's own cost and capacity. No record of AI assisted work by matter is described, and no fee or disclosure guidance is published.
Nothing addresses what a client is told when an investigation report supporting a regulatory response used automated evidence identification and machine prepared interview questions. Law firms running investigations for clients are one of the two named buyer types, so the time saved comes directly out of billable investigative work.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current subprocessor or model provider list is published.
A published subprocessor regime gives customers real rights, and no model provider is named in anything read. Clause 2.9 of the addendum bars subcontracting without consent and gives at least thirty days' notice of any addition or removal, with details, published on a stated trust subdomain. Subprocessors take equivalent data protection terms with the customer as third party beneficiary, Augmetec stays fully liable for them, and the customer may object on reasonable grounds and terminate without penalty if no solution is found.
A list of approved subprocessors is said to be attached at Annex III. That list fell outside the part of the published PDF that could be extracted on 5 September 2026, so no subprocessor is named here and it may say more. No AI or model provider is identified in the material read, so a firm could forward a strong governance regime and still not tell a client whose model processed its investigation.
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.
Evidence provenance is well handled, and model provenance is not addressed. The product is sold on defensibility and the supporting features are real: automated evidence bundles, a central data lake holding the whole investigation dataset, tagged notes and chronologies built from the record. Annex II commits to logging data access, changes, entries and deletions, with authentication logging and monitored system access.
A team could show what evidence was held, who touched it and when. Nothing records the AI's own contribution. Nothing identifies which model or version produced an evidence identification, fact pattern or fraud flag, and nothing marks generated interview questions or report content as machine produced. No export is described for giving such a record to a regulator, court or client. No disclosure template or guidance is published, and the agreement does not address it.