Augmetec vs Nuix Neo: how they compare in 2026
Augmetec and Nuix Neo both sell to teams running internal and regulatory investigations, from different starting points. Augmetec's LEIAA is a case command center built around the line of inquiry, the question an investigation is pursuing, with AI that surfaces evidence, flags altered documents, identifies witnesses and drafts interview questions. Nuix Neo starts from processing, turning more than a thousand file types into searchable data and classifying it for review. Nuix leads on outside evidence: a named customer in the Los Angeles County District Attorney's office, ISO 27001 and SOC 2 stated for its review product, a published pricing unit and a bring your own AI option. Augmetec's counterweight is paperwork. Its agreement and addendum give each customer a dedicated instance, restrict customer content to support unless the customer authorizes more in writing, and exclude privileged material from usage data. They also commit to breach notice within 72 hours and set out security controls in detail.
Which one fits
Choose Augmetec if
- You run investigations, not only document review. Augmetec's LEIAA organizes a matter around each line of inquiry, surfaces relevant evidence and fact patterns against it, flags altered documents, identifies witnesses, prepares interview questions, builds chronologies and assembles evidence bundles, from scoping through the final report.
- You want your investigation data on infrastructure no other customer shares. Augmetec gives each customer a dedicated instance on its own subdomain inside a virtual private cloud on Google Cloud Platform, and its addendum lists AES 256 encryption, TLS 1.2 or greater, multi factor access, logging and a 72 hour breach notice commitment.
- You want your content used only to serve you. Augmetec's agreement bars it from accessing, using or disclosing customer content except to support your use, answer support requests, or for purposes you authorize in writing, and excludes anything confidential or privileged from the usage data it collects.
Choose Nuix Neo if
- Your investigations start with messy data in many formats. The Nuix Engine processes more than a thousand file types of unstructured data into searchable form, and Nuix Neo classifies and contextualizes it, culls non relevant material and automates redaction before review in Nuix Neo Discover.
- You want evidence that public bodies run it. The Los Angeles County District Attorney's office is named as a customer, with its chief privacy officer describing running its own AI inside its own environment, and Nuix sells separate solution lines to financial regulators, integrity agencies and law enforcement.
- You want to budget by data volume rather than by seat. Nuix defines its license unit as one terabyte of uncompressed data processed per year, reported quarterly with true up at order form rates. Augmetec licenses per named user on a committed term.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. 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.
AI functions named on the platform page, as updated in November 2025, are 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.
Nuix Neo's AI classifies and contextualizes data, applies language models described as trained for the customer's use case to cut review volume, and drives automated redaction. Without it, the Nuix Engine still processes more than a thousand file types into searchable form. Early case assessment, review in Nuix Neo Discover and investigation workflows also remain, which is the product Nuix has sold for years. The Solutions Terms of July 2026 say Nuix will identify in its documentation the features that materially rely on AI systems, and the license is sold by data volume processed rather than by AI use.
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.
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. Clause 2.5 of the agreement has the customer acknowledge that the software may contain bugs, errors, defects and design flaws and may produce unexpected results.
Nuix says its language models improve accuracy and reduce the data to review. Its telecommunications page claims that up to 95 percent of irrelevant data is eliminated early, with no test set, method or recall figure. The Solutions Terms of July 2026 call AI output probabilistic and warn that it may contain errors, omissions or bias. They disclaim any warranty on its accuracy, completeness or reliability and make the customer responsible for verifying it. The product classifies and culls documents rather than citing law, and no measured error rate for its classification is published.
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 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. 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.
The models work alongside reviewing people under a written commitment, with real review surfaces, but the full control structure is not published. The review product is described as responsive review with workflows enabled by AI that support faster and more precise human review. A named customer describes running its own AI within its own environment under its own compliance controls. Automated workflow templates run culling and redaction that a reviewer then works from. Nothing published sets the threshold at which a document is excluded from review, says what runs without a person, or states a route back after a misclassification beyond ordinary review.
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 customer is named on the site, 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 a competitive pricing claim rather than an outcome, 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, a credential rather than deployment evidence.
Donn Hoffman, Chief Privacy Officer and Deputy District Attorney at the Los Angeles County District Attorney's office, is quoted on the Discover page for installation on premises. He speaks about running the office's own AI within its own environment, with no measured outcome. IAV GmbH is named on the same page as an ediscovery services customer. The data reduction figure of up to 95 percent on the telecommunications page carries no customer name or date. No named customer is joined to a figure.
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.
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. 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.
Customer data stays the customer's under Nuix's Solutions Terms of July 2026, which license Nuix to process it only to provide the solutions. They state that Nuix will not use customer data to train any AI systems, treat customer data as confidential information, and require prompt written notice of any compelled disclosure where the law permits. Installed on premises, the software keeps matter data in the customer's own environment, and the bring your own AI option keeps third party models there too. For SaaS, each customer's databases and file shares are logically separated and encrypted with AES 256. Privilege and work product are not addressed as such, and no separation by matter inside the review product is described.
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.
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 contain none of these. 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 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. Augmetec also publishes website terms of use.
AI output is probabilistic and may contain errors, omissions or bias, according to Nuix's Solutions Terms of July 2026. The terms say AI systems are no substitute for legal or other professional advice or for review by a trained professional, and the customer must verify output before relying on it. Buyers span law firms, corporate legal teams, law enforcement, financial regulators and telecommunications companies. Nothing describes how the product supports a supervising lawyer's duties, and no jurisdiction limit is named beyond export control and the territory clause.
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 responsible AI page, principles statement, accountable owner for model behavior, evaluation regime before release, AI management system or certification such as ISO 42001 is published. Nothing addresses uneven output or describes how the system's determinations about named people are tested or governed, though it identifies which people are witnesses, flags documents as fraudulent and builds fact patterns about alleged misconduct. 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.
Nuix markets its review product as powered by ethical AI and describes language models trained to the customer's use case. Its Solutions Terms of July 2026 commit Nuix to governance processes designed to identify, assess and mitigate material bias in its proprietary AI output. Customers get a written route to report systemic bias, and Nuix commits to comply with AI laws that apply to it as a provider. No governance framework, ISO 42001 or equivalent, named owner, testing before release or finding about uneven classification across document types or languages is published.
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.
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.
A personal data breach gets notice without undue delay under the data processing addendum of June 2026, with information and help in mitigating it. Nuix deletes or returns personal data at the end of the agreement, or at any time on written request, unless the law requires it to keep some. A SaaS customer has 10 days after its subscription ends to download its data under the Solutions Terms of July 2026. Nuix then deletes it, and data is unrecoverable from backups 90 days after the end. The Security Requirements of June 2026 set encryption, logical separation of each customer's data and an incident response program. On premises, the customer holds and backs up its own data. No subprocessor list is published.
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.
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, so the twenty thousand dollar ceiling applies to everything except the IP indemnity and the 10.3 carve outs. The exclusions in 10.4 expressly cover loss of privilege and loss of confidentiality. Nothing warrants the accuracy of any output.
Third party claims that the customer's use of a solution infringes intellectual property are defended and any losses awarded or settled are paid under the Solutions Terms of July 2026. Exclusions cover unsupported versions, combinations and unauthorized use. Nuix warrants that software is free from defects for 90 days from the license key and that a SaaS offering is free from defects through the subscription, with repair as the remedy. Each party's liability is capped at the fees for the agreement year. A super cap of twice that applies to breaches of the security requirements or the data processing addendum that compromise customer data. Fraud, wilful default, death or injury from negligence and indemnified claims sit outside the caps. Nuix maintains professional liability and general liability insurance. AI output carries no warranty of accuracy, completeness or reliability.
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.
Core enterprise integrations, single sign on and secure integrations with existing platforms, document management systems, and Microsoft and Google are promised on the platform page. 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. Augmetec also runs a knowledge base on a third party support platform.
The Engine ingests more than a thousand file types and connects to data sources, which is the core of the product. Nuix's Solutions Terms cover customer integrations and the use of Nuix's APIs, and the Neo Legal page describes orchestrating business applications across the enterprise. No document, matter or review system connection is described with what moves, in which direction or what a customer must configure.
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.
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.
On the customer's premises or as a SaaS offering, Nuix Neo Discover serves organizations with data sovereignty and chain of custody requirements. On premises, the customer installs one production copy in its own environment and keeps complete control over its data, so residency is wherever the customer puts it. For SaaS, Nuix's Security Requirements commit to logically separated databases and file shares dedicated to each customer, with encryption at rest and in transit. No hosting provider, region or processing location for the SaaS offering is stated.
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.
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 lists regular benchmarking and testing against industry standards, giving ISO 27001, the SANS Top 20 controls and NIST guidelines as examples, on certain systems, which is benchmarking rather than certification. A trust page exists at a published subdomain, named twice in the agreement for backup and disaster recovery detail and subprocessor change notices.
The Nuix Discover page states that the product holds ISO 27001 and SOC 2 certifications. Nuix's Security Requirements of June 2026 bind it, for SaaS offerings, to obtain an annual third party audit report on ISO/IEC 27001 compliance covering the cloud infrastructure, client and web applications, APIs and software development. They also require AES 256 encryption at rest and in transit and logical separation of each customer's databases and file shares. No auditor, coverage period or route to a report is published, and Nuix runs no public trust center.
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 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 exists. 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 states that the services may use technology and data licensed by Augmetec from third parties, sublicensed to the customer, and names 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 agreement refers to an approved subprocessor list at Annex III of the published PDF.
The supply chain is partly disclosed. The vendor describes proprietary AI in the Engine and custom language models trained for the customer's use case. A bring your own AI option lets the customer run its chosen models inside its own environment, which places the third party model, where it runs and who controls it with the customer. A named customer describes using the latest AI advances within its own environment on that basis. Nuix does not publish the name of any model it supplies, any provider behind its own models, or a commitment to notify customers of changes.
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.
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 account that cannot be shared, and the commitment runs across an Initial Term with defined Renewal Terms. That makes it per user licensing on a committed term, with the package defined in an order form. No rate, band, minimum or implementation cost is published. The one published number is a comparative claim rather than a price: the platform page states that the product is up to eighty percent cheaper than other platforms, naming no comparator and no basis.
A unit and structure are published without a figure. The EULA effective 30 September 2025 remains published for agreements made under it. It sells a consumption license at one terabyte of uncompressed data processed per year, aggregated across instances and expiring unused at the end of each term. Usage is reported quarterly and reconciled at the overage rates in the order form, renewals run for twelve months with ninety days' notice, and premium support costs extra. The Solutions Terms of July 2026 leave the usage entitlement to the order. No figure, plan name or price page is published.
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 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 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. No size band is stated, no jurisdiction is named despite an English law agreement and a UK base, nothing says which investigation types or regulated sectors the product does not suit, and nothing covers languages for a platform taking in messaging data in many languages.
The Neo Legal page lists law firms managing ediscovery at large scale, corporate legal teams handling regulatory matters and disputes, financial services firms, compliance officers, investigation teams and security leaders. Separate solution lines cover investigations and data privacy, with industry pages for telecommunications, integrity agencies and financial regulators. The Engine handles more than a thousand file types. The territory clause and the choice of installation on premises or SaaS set the boundaries, and no matter type or practice area is named as unsupported.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
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. Annex I of the same addendum 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.
Customer data will not be used to train any AI systems, under the Solutions Terms of July 2026. The customer keeps all rights in its data and licenses Nuix to process it only to provide the solutions. Agreements still under the earlier EULA license customer data to Nuix only to provide support, without naming training. On premises, customer data does not ordinarily reach Nuix.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
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. Where law requires retention, the data is isolated and protected from further processing until deletion is possible.
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 are not published on the site.
A SaaS customer has 10 days after its subscription ends to download its data under Nuix's Solutions Terms of July 2026. Nuix then deletes it, and data is unrecoverable from backups after 90 days. The data processing addendum adds deletion or return of personal data on written request at any time. No period is stated for keeping prompts, classifications or other AI output during a subscription. On premises, the customer holds and backs up its own data, and Nuix receives only usage data.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
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, where an investigation can concern colleagues who are also users.
No separation of matters or cases is described inside the review product. Installation on premises gives each licensee its own copy, and the SaaS offering keeps each customer's databases and file shares logically separate, which divides organizations rather than matters.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
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, which covers requests from regulators and third parties about customer data.
Clause 6.2 of the main agreement, headed mandatory disclosure, runs the other way and 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.
Clause 5.3 of Nuix's Solutions Terms of July 2026 covers a party compelled by law to disclose the other's confidential information. Where the law permits, it must first give prompt written notice so the other can seek a protective order or other remedy, then reasonable assistance in opposing the disclosure. Customer data is confidential information under the terms. 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 external body of law stands behind the product's output. 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.
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.
Nuix holds no legal corpus. It processes and classifies the customer's own collected data and cites no law. Nuix describes language models trained for the customer's use case without stating the training material.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The product neither retrieves nor cites primary law, and no check of subsequent history is described. 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 platform is sold for regulatory investigations and reviews, and nothing published describes whether any regulatory content is maintained or checked for currency.
Nuix does not retrieve or cite primary law. Its output is processed, classified and redacted material ready for review, and it has no citator function.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
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. 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 on the platform page, the security page or in the agreement.
No confidence signal or way to decline is described for Nuix's classification or review models when they cannot classify a document with confidence. Nuix describes AI that zeroes in on relevant data and finds gaps or inconsistencies in collections. The Solutions Terms call AI output probabilistic and make the customer responsible for verifying it.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database kept by Damien Charlotin holds no entry naming LEIAA or Augmetec. The product's main output is an internal or regulatory investigation report rather than a court filing.
Damien Charlotin's AI Hallucination Cases database, which tracks court decisions worldwide on hallucinated AI content, has no entry naming Nuix, Nuix Neo or Nuix Discover. Nuix processes and classifies evidence and cites no authority.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The platform, about and security pages and the published agreement name no bar association, law society, rule of professional conduct, ethics opinion or regulator guidance for lawyers, and nothing addresses the professional obligations of a solicitor or in house counsel conducting an investigation through the platform. They carry no advice disclaimer or statement that the company is not a law firm either. The regulatory material Augmetec does engage with covers UK and EU data protection law, standard contractual clauses and the UK international data transfer addendum. The product is built by an investigations lawyer and sold to law firms and in house legal functions.
Nuix names no ethics opinion, bar rule or professional responsibility framework. Its Solutions Terms say AI is no substitute for legal advice or review by a trained professional, and its marketing describes ethical AI.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
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.
Law firms and legal service providers are named buyers, and Nuix's position on the bill is a savings claim. AI driven data reduction eliminates up to 95 percent of irrelevant data early, it says, saving time and review resources. The license is sold by data volume processed. Nothing addresses how AI assisted review is recorded on a client's bill or what a firm should disclose when AI culls the review set.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
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.
The agreement says a list of approved subprocessors is attached at Annex III. No AI or model provider is named in the agreement text, Annexes I and II or the site pages.
The Solutions Terms, data processing addendum and Security Requirements are published, and a firm can hand them to a client, but there is no subprocessor list and no list of model providers. The bring your own AI option places the model choice with the customer, and Nuix's own models are not attributed to any provider. Installed on premises, a firm can answer a client's AI clause from its own configuration.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The product is sold on defensibility, supported by automated evidence bundles, a central data lake holding the whole investigation dataset, and 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, so a team can 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.
Chain of custody is built in for litigation and regulatory matters, the Neo Legal page says, and the Discover page describes defensible review and reporting. Processing produces forensic audit records of what was collected and processed and by whom. No export per document of the model used, its classification and the human verification is described for a court or opposing party.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Primary Law Corpus Provenance
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Nuix Neo
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Product / capability
Nuix launched the Nuix Neo AI Agent, which answers plain language questions by calling more than 20 Nuix Neo tools, links each answer to its source documents and records the steps it takes.
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Product / capability
Nuix released the Nuix Neo Generative AI Framework, a governed layer that connects a customer's chosen language model and provider to structured and unstructured investigation data, with audit telemetry, policy guardrails, token usage metering and context window management.
Source
In summary
Augmetec
Augmetec, based in London, builds LEIAA, a command center for internal and regulatory investigations sold to law firms and in house legal, ethics and compliance teams. It holds a whole investigation in one place, from scoping and evidence management through interviews and analysis to the final report. Its AI surfaces evidence against each line of inquiry, detects document fraud, identifies witnesses, drafts interview questions and builds chronologies. According to the AI Legal Index, its published agreement and data processing addendum give each customer a dedicated instance, restrict use of content to support, and commit to breach notice within 72 hours.
Nuix Neo
Nuix Neo is the investigative analytics and ediscovery platform of Nuix Limited, an ASX listed company in Sydney, sold for investigations, fraud, data privacy and ediscovery to regulators, government agencies, law enforcement, law firms and corporate legal teams. The Nuix Engine processes more than a thousand file types, and the AI layer classifies data, culls non relevant material and automates redaction, with customers able to run their own models on premises. Its Solutions Terms of July 2026 bar Nuix from training AI systems on customer data, add an infringement indemnity and insurance, and cap liability at a year's fees with a higher cap for data breaches. The AI Legal Index records that Nuix licenses by consumption, at one terabyte of uncompressed data processed per year.
Questions buyers ask
Augmetec vs Nuix Neo: which is better for internal investigations?
Nuix publishes more outside evidence: a named customer, stated certifications and a pricing unit. The products fit different jobs. Augmetec manages the investigation itself, from lines of inquiry to interviews and the final report. Nuix processes and classifies large volumes of evidence for review. Augmetec's published agreement and security annex say more about how customer data is held. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Does Augmetec use investigation data to train AI?
Augmetec's agreement says it will not access, use or disclose customer content except to support the customer's use of the software, answer support requests, or for a purpose the customer authorizes in writing, so training would need written authorization. Usage data it collects must exclude anything confidential or privileged. The same addendum lists research and development of additional algorithms and models among the activities relevant to customer data, without reconciling that with the use restriction. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Does Nuix Neo have named government customers?
Yes. The Los Angeles County District Attorney's office is named on Nuix's on premises Discover page, where its chief privacy officer and deputy district attorney describes running AI within the office's own environment. Nuix sells separate solution lines for financial regulators, integrity agencies and law enforcement. No figure is attached to the named customer. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
How is Augmetec priced compared with Nuix?
Augmetec's agreement licenses the software per named user on a committed initial term with renewals, with features and price set in an order form, and its site claims it is up to 80 percent cheaper than other platforms without naming a comparison. Nuix licenses by consumption, one terabyte of uncompressed data processed per year, with quarterly reporting, true up at order form rates and twelve month renewals. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Three points to weigh. Augmetec's agreement caps its liability at the lesser of one year's fees or $20,000 and expressly excludes loss of privilege and loss of confidentiality from recovery. Its security page shows ISO 27001, HIPAA, GDPR and SOC marks as images without stating that any certification is held, while its addendum describes benchmarking against ISO 27001 on certain systems. The same addendum lists research into new algorithms and models among the activities for customer data. Neither vendor reviewed this page.