iCONECT vs Knovos Discovery: how they compare in 2026
Knovos Discovery and iCONECT overlap more than they differ. Each runs on premises, in a customer's own cloud or as a vendor hosted service, each sells to the providers that host review for law firms, and each pairs litigation review with breach response. The split is in how AI and price are packaged. Knovos runs every generative feature through its Insight engine and lets a customer swap in its own model from OpenAI, Google, Anthropic or a private deployment on any hosting choice. Its prompt based tagging returns a rationale, a confidence value and flagged uncertainties for each document. Knovos licenses per user or per case for a fixed annual fee with no per gigabyte charge, and adds Discovery Lite for investigators working offline on one laptop. iCONECT sells on monthly or annual terms with discounts that grow with data volume. It pairs continuous active learning with generative summaries, classification, entity redaction, transcription and translation, and lets breach teams send selected documents to a model of their choice to pull out personal information.
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.
Machine learning runs core review and breach response work on a document review platform that would still function without it. iCONECT's eDiscovery product is built around processing, an Elasticsearch index, deduplication, redaction and production. The models sit in several core capabilities: continuous active learning through Sentio technology; Oversight, which the vendor says is included in standard eDiscovery licensing and finds false negatives and false positives in reviewer tagging; AI email threading; and AI assisted identification and extraction of personal information in the cyber data mining product, where users can send documents to a model of their choice. Generative AI features listed on the eDiscovery and law firm pages add document summaries, classification by content or legal relevance, entity redaction, image description, transcription and translation. The vendor describes itself as a data intelligence AI platform, and in August 2026 announced an integration with eDiscovery AI that is still under development. Without the models, a full review and production system remains.
Knovos Discovery is a full eDiscovery platform first. Processing, deNIST filtering, deduplication, email normalization, early case assessment, review batches, redaction and production with Bates ranges and privilege logs all run without a language model. AI drives a growing share of the review. Knovos Insight tags documents as responsive, non responsive or by issue from a natural language case prompt. It answers questions over the review set with cited excerpts, summarizes in the reviewer's language, transcribes audio and video, and finds personal and health information across more than 300 file formats. Technology assisted review, sentiment and theme detection, image analytics and name normalization sit alongside it. The same Insight engine powers the other Knovos products, Manage, Rooms, GRC and Arbitrate, rather than being sold as a separate AI product.
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 Oversight post of 17 May 2024 says the tool reaches a level of precision once thought unattainable and helps teams rectify discrepancies, with no recall, precision, elusion or validation figures and no test set. The cyber data mining page says each extracted data element is linked through audit trails to its original source file, creating a defensible chain of custody, which lets a reviewer trace a notification entry back to the document. How the generative features are grounded is not described: whether a document summary cites passages, how classification by legal relevance is validated, or how automatic privilege redaction is confirmed. No error rate or statement on invented content is published.
Insight is built on retrieval augmented generation over the customer's own documents, and its answers come back with cited source excerpts that reviewers can trace. Review predictions carry a rationale and the uncertainties the model flagged. Knovos goes further in its claims, describing output as never invented and never hallucinated, and says Knovos Discovery reviewed 4.3 million documents at 90 percent accuracy. No test set, method or error breakdown sits behind the 90 percent figure, and no precision or recall result is released for prompt based review or technology assisted review.
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 Oversight post of 17 May 2024 says a subject matter expert, attorney or experienced reviewer seeds a model with as few as fifty documents, and that Oversight reports tagging errors for the team to correct. The cyber data mining page lets a team define its criteria so that verification, whether manual or automatic, fits its needs, and says GenAI reviews are used where appropriate. The eDiscovery page says redaction, including of an entire document because of privilege, can happen automatically, and that document classification sorts documents by legal relevance automatically, with no review step described for either. Nothing states what the generative features may not be used for, when a person must check their output, or what happens when a classification or redaction is wrong. For the generative features, review is a setting the customer chooses.
Human judgment is a stated design principle. Its AI, in Knovos's words, supports judgment while people make the decisions, always. In review, Insight predicts responsive, non responsive and issue tags across the full set, and each prediction shows its rationale, a confidence value and flagged uncertainties so reviewers can validate, refine and defend it. Privilege log drafting and personal data detection are framed the same way, with legal oversight kept in the loop. A reviewer management console assigns batches and tracks progress in real time, quality control steps run through review and production, and every AI action is logged. The confidence level at which a prediction must go to a person, and what happens after a wrong call, are left to each team.
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.
Releases on iCONECT's site record that ProFile Discovery selected the platform for its law firm and corporate legal department environments (26 January 2021) and that Everest Discovery launched a cyber breach response service built on it (27 January 2025), with a quote from Everest's owner and president; other releases name Pictera Solutions, Right Discovery and Iota Analytics as customers. The Why iCONECT page names NASA and the FDIC among users. The law firm page presents seven large matters, among them the Vioxx, Yasmin and Pradaxa litigation, Oracle v. SAP and the Columbia investigation, without naming the firm, iCONECT's role or a result. No case study with a measured result is published on the site.
Every customer story is anonymous. One case study describes an elite litigation and regulatory firm with more than 3,500 legal professionals in over 30 offices that moved its eDiscovery project management onto Knovos Manage. Another describes a United States government law office running Knovos Discovery for several years in a dedicated cloud environment that Knovos builds and manages. A large research university is said to have replaced three tools with it for public records work, and a senior manager at an unnamed global AM 100 law firm recommends Knovos. Outcome figures come without a customer or a method behind them, including 4.3 million documents reviewed at 90 percent accuracy and review volumes cut by 60 to 80 percent with technology assisted review.
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.
The only legal documents on the site are a terms of use (31 July 2024) and a privacy policy (June 2024), both written for the website. No customer agreement, data processing addendum or statement on training with customer documents is published. The eDiscovery and law firm pages cite SOC 2 certification, rigorous data protection and handling protocols and controlled access, and the SOC 2 Type 2 report on the SaaS platform covers the confidentiality criterion. The cyber data mining page lets users send documents to a model of their choice, including models from OpenAI, Microsoft and Google, and nothing published states what those providers may keep or use. The platform can be deployed on premises, which keeps documents in a firm's own environment, but nothing addresses privilege handling, segregation between matters, or what happens to documents sent to a model.
Confidentiality rests on architecture and on agreements signed outside public view. Each client signs a confidentiality and nondisclosure agreement with Knovos, which keeps engagement data under strict privacy rules because much of it is evidence. Its AI runs inside the same access controls as the documents, and with a customer's own model the processing stays inside the customer's environment, with no exposure to outside cloud AI. Tenants on Knovos Cloud are isolated from each other. Nothing published commits Knovos itself to never training on client data, states a retention period for prompts or outputs, or addresses privilege and work product handling.
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.
The terms of use say information on iCONECT's pages is distributed on the understanding that the authors are not rendering legal, accounting or other professional advice. That sentence governs website content, not the review platform. The product classifies documents by legal relevance, redacts for privilege and summarizes documents for law firms, corporations, public sector organizations and service providers, and nothing published states that its output is not legal judgment, that a supervising lawyer must review it, or how it fits a lawyer's competence and supervision duties. No ethics opinion or court decision on technology assisted review is named.
The terms of use state that Capital Legal Solutions, LLC, doing business as Knovos, is not authorized to practice law or provide legal services. Its services cover only the non legal, administrative side of document review and discovery projects. Its AI principles add that people make the decisions and that AI extends professional expertise without overruling it. The platform is sold to law firms, legal departments, government offices and investigators rather than to the public. No ethics opinion, supervision duty or jurisdiction limit is named.
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.
The platform page and a post of 10 May 2024 describe iCONECT's path as a responsible adoption of generative AI that enhances the platform without compromising data integrity or security. No person is named as accountable for model behavior, and no testing before release, evaluation results or principles are published. The SOC 2 Type 2 report covers information security controls and not the conduct of the models. Nothing addresses uneven output across languages and document types in classification by legal relevance or personal information identification. Users choosing between models from OpenAI, Microsoft and Google for personal information identification are not told how iCONECT evaluated them.
Knovos publishes five AI principles. AI is native to every product, grounded in the customer's content, defensible through audit trails and confidence values, sovereign through the customer's choice of model and infrastructure, and led by people. Customers who bring their own model can evaluate, monitor and govern it inside their own environment, and every AI decision is logged. No testing done before release is described, and no one inside Knovos is named as accountable for AI. Nothing addresses uneven output across languages, custodians or document types, although the product is sold on review in more than 150 languages.
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.
The eDiscovery and law firm pages cite SOC 2 certification, regular security training and penetration testing, workstation and server security, data protection and handling protocols and controlled access, and the platform page cites encryption, access controls, regular security audits and adherence to GDPR and HIPAA standards. The SOC 2 Type 2 audit of the SaaS platform, completed on 22 September 2025 by A-LIGN, covers security, availability, processing integrity, confidentiality and privacy. The cyber data mining page says ingestion, extraction, review and modification actions are logged with audit trails. The privacy policy (June 2024) covers the website and not data processed in the platform. No retention period, deletion commitment, breach notice timing, subprocessor list or statement on what model providers keep when documents are sent to them is published.
Controls are described in detail. Data is encrypted with AES-256 at rest and in transit, and Knovos Cloud tenants are isolated. Role based access defines who does what on which data set, administrators can block unapproved IP ranges, and audit logs record who changed what and when. Customer managed encryption keys and SIEM integration are available in every deployment model. Subprocessor disclosures, data processing addenda and standard contractual clauses are available through procurement. The privacy policy covers marketing data under the Data Privacy Framework rather than case data. Discovery Lite keeps everything on one machine with no cloud dependency and writes a tamper evident audit entry for each action. No retention period, deletion process or breach notice practice for customer data 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.
No customer agreement, license terms or SaaS terms are published. The terms of use (31 July 2024, California law) disclaim liability for direct, indirect, special, incidental or consequential damages arising from the website and its content; they do not govern the software. No indemnity, warranty, cap or allocation of risk is published for missed documents, wrong classifications, failed redactions or errors in personal data extraction, on a product used to decide what is produced to an opposing party and who is notified after a breach.
The only published terms are the website terms and conditions, last updated 18 January 2023, which also apply to transactions for Knovos products and services unless another contract says otherwise. They cap Knovos's liability at the total price paid, exclude indirect damages, provide everything as is, and have the customer indemnify Knovos. The product license and any service level agreement are signed separately and are not published, and nothing addresses who bears the loss when an AI tag or summary is wrong.
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.
iCONECT's release of 10 June 2021 says its Ligl integration, available then, lets organizations identify, hold, preserve and collect enterprise documents in Ligl, process and cull them, and push relevant documents to iCONECT for review. The cyber data mining page lets users send selected documents to a model of their choice, including models from OpenAI, Microsoft and Google. The partners page shows Microsoft, Nuix, LexisNexis, Sentio, Opus 2 and Heureka Software as technology partners, as logos without descriptions, alongside more than 25 hosting partners. An integration with eDiscovery AI was announced on 24 August 2026 as under development, with availability to follow. The platform page says iCONECT integrates with the most common applications in its three markets, without naming them. Nothing describes connections to a firm's document management, matter management or litigation support systems, and no integration documentation is public.
Connections are described at the infrastructure level. Onboarding to Knovos Cloud covers single sign on and user provisioning against the customer's identity stack, every deployment can feed a customer's SIEM, and BYAIM connects outside or private models through standard APIs. Processed data from other platforms imports through load files with metadata field mapping, and chat exports from Slack, Teams and WhatsApp load for review. Legal holds, matter management and billing live in Knovos Manage, a separate Knovos product. No documented connector to a document management system such as iManage or NetDocuments, or to a third party matter or billing system, is offered.
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 eDiscovery page offers on premises, hybrid, cloud and SaaS deployment. The post of 19 July 2024 on system architecture describes in house deployment, cloud deployment on Microsoft Azure, Google Cloud, AWS or other providers, and hosting through iCONECT's network of legal service providers. The release of 23 August 2023 launching iCONECT SaaS says it runs on Microsoft Azure. A firm can therefore keep the platform and its documents on its own infrastructure. Not stated are where iCONECT's SaaS stores or processes data, which regions are available, and whether SaaS customers are separated at the tenant level. Nor is it stated where documents go when they are sent to a model from OpenAI, Microsoft or Google for personal information identification, or whether the generative features work in an on premises deployment.
Four ways to run the platform are set out side by side. Knovos Cloud is a managed SaaS with tenants isolated from each other and a region chosen at provisioning from a regional footprint. Bring Your Cloud runs it in the customer's own AWS, Azure or Google Cloud account or private cloud, in the regions the customer picks. Bring Your Data Center installs it on premises, air gapped where required, and hybrid setups mix the three with migration between them. A comparison table shows what changes in each model, from who owns the infrastructure to security configuration and audit access. AI processing follows the data, since a customer's own model runs inside the environment where the documents sit. Discovery Lite installs on one laptop for offline and field work. The regions in the SaaS footprint are not listed by name.
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.
iCONECT's release of 29 September 2025 says A-LIGN completed a SOC 2 Type 2 audit of its SaaS platform on 22 September 2025 covering security, availability, processing integrity, confidentiality and privacy, and the home page carries an A-LIGN badge. No audit period is stated, no trust center is published, and the report is offered neither for download nor on request. The eDiscovery and law firm pages add regular penetration testing and security training, and the platform page claims adherence to GDPR and HIPAA standards without any certification behind them.
Knovos Cloud holds ISO 27001:2022, SOC 2 Type 2 and Cyber Essentials certification, and Knovos is certified under the Data Privacy Framework for marketing data. No auditor, report date or scope is given, and no trust center offers the reports. In customer hosted and on premises deployments, the customer's own controls govern the environment.
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 cyber data mining page lets users send selected documents for personal information identification to a model of their choice, including models from OpenAI, Microsoft and Google. The platform page says iCONECT integrated Sentio technology, which carries its continuous active learning, and acquired AI source code from Ayfie in 2021. Nothing published names the model behind document summaries, classification, image description, transcription or translation, states whether iCONECT or the customer holds the model provider relationship, says where those models run, or commits to notice when a model changes.
Knovos Insight is described as a proprietary engine built on retrieval augmented generation and multi LLM orchestration. Customers can swap in their own model from OpenAI, Google, Anthropic, an open source project or a private deployment. When a customer brings a model, that model runs where the data lives and the customer controls its version. The language models behind the native Insight engine are not named, and nothing says how customers are told when they change.
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 law firm page offers flexible pricing with monthly or annual terms, the Why iCONECT page describes predictable pricing through monthly and yearly plans, and the release of 23 August 2023 launching iCONECT SaaS describes Price Protect, which applies discounts automatically as data volume grows without renegotiating the contract. That points to data volume as a driver and term length as a choice, without stating the unit, the rate or what the generative features add. No price, rate per gigabyte, user fee or tier is published, and every route to a number runs through a demo request.
Three licensing paths are published with their units and terms. Standard licensing is a fixed annual license per user or per case, with no per gigabyte hosting fee, unlimited storage and processing, and 24/7 support and training included. Pay as you go is usage based with no long term commitment, aimed at firms with uneven caseloads. Enterprise agreements carry custom, multi year pricing with discounts for high volume service providers and large organizations. The managed cloud follows the same subscription or pay as you go choice, with onboarding and data migration included. No price appears for any path.
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 site addresses law firms, corporations, public sector organizations and service providers, each with its own page, across three products: eDiscovery, cyber data mining for breach response, and data governance. The law firm page covers litigation, investigations and responsive actions, the cyber data mining page covers breach notification work for incident response professionals, and the release of 24 August 2026 names law firms, corporations, legal service providers and public sector organizations as customers. Named users include NASA and the FDIC. What is not stated is which languages the generative features and personal information identification support, which privacy regimes the breach tools are built around beyond references to GDPR and HIPAA, and which deployment options carry the generative features.
Buyers are named in some detail. Law firms use it for litigation and arbitration review, and service providers can white label it. Corporations use it for investigations, breach review and data subject requests, government agencies for FOIA and investigations, and law enforcement and forensic teams run Discovery Lite on seized devices. Use cases extend to regulatory inquiries, M&A diligence, IP and pharmaceutical discovery and healthcare breach review. Review works across more than 150 languages, and personal data detection is tuned to regional identifiers such as Aadhaar and CURP. The SaaS option is pitched at teams without on premises mandates, with sovereign or classified work steered to the other models. No practice area or matter size is excluded.
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?
No customer agreement, license terms or data processing addendum is published, and no page states a position on training with customer documents. The terms of use (31 July 2024) and the privacy policy (June 2024) cover the website only. Oversight's matter model is seeded by the customer's own reviewers with its own documents, which is not vendor training, and the cyber data mining page lets users send documents to models from OpenAI, Microsoft or Google with nothing published on whether those providers may train on them.
The published terms and conditions, last updated 18 January 2023, grant Knovos no right to use customer content beyond the transaction and say nothing about training, and the privacy policy covers marketing data only. When a customer brings its own model, Knovos says all AI processing stays inside the customer's environment with no exposure to outside cloud AI. Nothing says whether the native Insight engine learns from customer documents, and the product license itself is not published.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Nothing published states how long documents, extracted data, summaries or other AI outputs are kept, or when they are deleted, in the SaaS platform or by a model provider. The privacy policy covers website data only.
No retention period for prompts, AI output or case data is stated for any deployment model. Every AI action is written to an audit log, and in customer hosted deployments the customer's own infrastructure holds the data. Customers keep full ownership and control of their data in hybrid setups, according to Knovos, and can move workloads between deployment models.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Nothing describes walls between matters or teams, or how the generative features and continuous active learning are kept within a matter. The eDiscovery and law firm pages cite controlled access and the SaaS launch release mentions user setup and matter management, without describing how access is segregated.
Knovos says every Insight capability runs under the same access controls as the documents, and that Insight can be configured down to the matter level. Role based access defines who acts on which data set, Knovos Cloud tenants are isolated, and white label service providers get multi client handling. Super administrators can also restrict logins to approved IP ranges. How matter level walls are set up is not described.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No published agreement addresses legal demands for customer data held in the platform. The privacy policy (June 2024), which covers the website, says iCONECT may disclose a website user's name, city, state, telephone number and email address to law enforcement on a verified request without a subpoena; it does not reach documents processed in the platform.
The privacy policy says Knovos may have to disclose personal information in response to a lawful request by public authorities, including for national security or law enforcement. It will comply under the guidance of its clients and their lawyers because it acts on their behalf. No commitment to tell the client before or after a disclosure is made, and 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?
iCONECT works on a customer's own documents and data and does not describe retrieval of case law or other legal sources; no outside body of legal sources applies.
Knovos Discovery works on documents and data the customer collects, and Insight retrieves only from that set, so no body of law or legal content license is involved.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The product does not cite legal authority, so no check of subsequent history applies, and none is described.
The platform reviews evidence rather than legal authority, so no citator or subsequent history check applies. Its citations point to excerpts in the customer's own documents.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Nothing published describes what the summaries, classification or personal information identification do when a document gives them no basis for an answer, or how low confidence is shown.
Insight attaches a rationale, a confidence value and any uncertainties it flagged to each review prediction, so reviewers can check the weaker calls. No behavior is described for declining to tag a document or answer a question when the source material does not support one.
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 maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming iCONECT. iCONECT reviews, classifies and redacts a customer's own documents for eDiscovery and breach response rather than drafting filings.
The AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming Knovos or Knovos Discovery. The product reviews collected evidence and produces it, and drafts no court filings.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The terms of use (31 July 2024) state that information on iCONECT's pages is distributed on the understanding that the authors are not rendering legal, accounting or other professional advice. The clause governs website content, not the review platform. No ethics opinion, bar guidance or court decision on technology assisted review is named on the product pages or in iCONECT's posts.
No ethics opinion or bar guidance is named anywhere in Knovos's materials. Its terms of use limit its services to the non legal side of review and discovery, and its AI principles keep decisions with people.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
iCONECT's pages claim savings without addressing billing. The eDiscovery page says AI email threading and deduplication reduce the dataset and that AI automations eliminate repetitive steps, the Why iCONECT page displays a counter for ROI savings delivered, and a customer release quotes Everest Discovery on reducing costs. The platform is sold to law firms and to service providers whose review charges reach clients, and nothing published addresses how AI assisted review is billed or disclosed.
Knovos tells law firms that technology assisted review cuts review volumes by 60 to 80 percent and that native Excel redaction avoids costly image conversions. It frames AI as an answer to client pressure on outside counsel spend. Nothing addresses how AI assisted review should be recorded or disclosed on a client's bill.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No subprocessor list or disclosure material for a client's AI terms is published. The cyber data mining page names OpenAI, Microsoft and Google as model choices for one feature, which is not a list of the providers that process customer data, and the SOC 2 report is not offered for download or on request.
Subprocessor disclosures, data processing addenda and standard contractual clauses for Knovos Cloud are provided through procurement rather than published. Customers who bring their own model choose and govern the model provider themselves.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The cyber data mining page says ingestion, extraction, review and modification actions are logged with audit trails that link each extracted data element to its source file, creating a defensible chain of custody for regulatory inquiries and legal review. Oversight produces reports of tagging errors, and the law firm page lists reviewer productivity reporting. Nothing records which model produced a summary or classification, and no export for disclosing AI use or validating continuous active learning to a court is described.
Every AI action is logged in an audit trail, and review predictions keep their rationale, confidence value and cited excerpts. Production reports list Bates ranges, privilege logs and withheld documents, and chain of custody documentation travels with each export. User access tracking records IP addresses and timestamps. No document level export ties the model used, its sources and human verification together.
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.
- Prompt and Output Retention
- Primary Law Corpus Provenance
- Good Law Verification
Which one fits
Choose iCONECT if
- You want image and audio evidence handled inside review. iCONECT describes images, transcribes audio and translates documents within the platform.
- Breach notification is part of your practice. iCONECT's cyber data mining product extracts personal information for notification lists and can route documents to OpenAI, Microsoft or Google models.
- Your team also runs a governance program. iCONECT's data governance product handles data minimization, retention and deletion beside review.
Choose Knovos Discovery if
- Your security policy dictates which AI model may touch client data. Knovos lets you plug in your own OpenAI, Google, Anthropic or private model on every deployment option.
- Investigators need to work offline. Discovery Lite installs on one laptop, processes forensic images such as E01 files and produces Bates numbered exports with chain of custody records.
- You run review as a service under your own brand. Knovos white labels the platform for service providers, with multi client handling.
In summary
iCONECT
iCONECT, a review platform first developed in 1999, serves eDiscovery, cyber breach response and data governance for law firms, corporations, public sector bodies and hosting providers. Its review combines continuous active learning with generative tools for summaries, image and document classification, entity redaction, transcription and translation. According to the AI Legal Index, iCONECT can be deployed on premises, in hybrid form, in a customer's cloud or as SaaS, and it publishes no customer agreement.
Knovos Discovery
Knovos Discovery is the eDiscovery platform of Knovos, a Fairfax, Virginia company founded in 2002. Its Insight engine tags documents from natural language prompts, answers questions with cited excerpts and works across more than 150 languages, and customers can bring their own AI model on any deployment. According to the AI Legal Index, Knovos Cloud holds ISO 27001, SOC 2 Type 2 and Cyber Essentials certification, while the product license itself is not published.
Questions buyers ask
Can Knovos Discovery and iCONECT be hosted on premises?
Each can. Knovos also runs in a customer's AWS, Azure or Google Cloud account, fully air gapped in a customer data center, or as Knovos Cloud SaaS. iCONECT offers on premises, hybrid, cloud and SaaS deployment. From the AI Legal Index, based on each vendor's own published materials as of October 13, 2026. No vendor pays for placement.
Which one lets a team use its own AI model?
Knovos does across the whole platform through its Bring Your AI Model option, with processing kept inside the customer's environment. iCONECT's breach product lets users send selected documents to models from OpenAI, Microsoft or Google. From the AI Legal Index, based on each vendor's own published materials as of October 13, 2026. No vendor pays for placement.
How do Knovos and iCONECT handle personal data in a breach?
Knovos flags more than 150 types of personal and health information, tuned to regional identifiers, and redacts them in bulk for breach review and data subject requests. iCONECT's cyber data mining product runs an early AI analysis of breached data and extracts personal information for notification. From the AI Legal Index, based on each vendor's own published materials as of October 13, 2026. No vendor pays for placement.
What security certifications do Knovos and iCONECT hold?
Knovos Cloud holds ISO 27001:2022, SOC 2 Type 2 and Cyber Essentials certification. iCONECT reports SOC 2 certification and regular penetration testing for its deployments. From the AI Legal Index, based on each vendor's own published materials as of October 13, 2026. No vendor pays for placement.
Does Knovos or iCONECT publish accuracy results for AI review?
Knovos says its platform reviewed 4.3 million documents at 90 percent accuracy, without a method behind the figure. iCONECT publishes no accuracy figure for its continuous active learning or generative features. From the AI Legal Index, based on each vendor's own published materials as of October 13, 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.
Knovos is the trading name of Capital Legal Solutions, LLC, based in Fairfax, Virginia. iCONECT is made by iCONECT Development, LLC. Neither vendor reviewed this page.