C
Covalynt
Covalynt, formerly ClaimScore, is a data science platform for class actions, mass torts and mass arbitrations operated by ClaimScore LLC. Its original product, ClaimScore, scores every settlement claim for fraud: each claim starts at 1,000 points and loses points on more than 65 weighted criteria covering bots, synthetic identities, duplicates, account takeovers and solicitation schemes, with deduction codes explaining each loss and claims below 700 marked as rejected.
It works in real time through an API connected to an administrator's claim form or on bulk files after the claims period. The company rebranded as Covalynt in December 2025 and added ClassResolution, which reconciles defendant records into audit-ready class member data for certification, DeepValidation, which validates and enriches class contact data for notice, and bespoke data engineering. It serves settlement administrators, class counsel, defense counsel and courts, and lists work on matters including cases against Apple, Google, Meta, Oracle and Visa and the Ozempic and Depo-Provera mass torts. Covalynt says it owns its data and builds its own models, holds a SOC 2 Type II report, and does not publish pricing.
Capability grades
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
The models are the engine of the flagship product within a wider data engineering suite, which is the B band. ClaimScore's scoring runs on what the vendor calls a proprietary expert-system AI whose criteria are weighted by neural-network machine learning trained on cohorts of known valid and invalid claims, and every claim's score and rejection turns on it. The rest of the suite, ClassResolution's record reconciliation for certification, DeepValidation's contact enrichment for notice and bespoke data engineering, is described as data science and identity resolution rather than model-driven, and would function without the scoring models. Verified 18 September 2026.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
The scoring method and how accuracy is tested are described, with accuracy figures shown only inside an illustrative example, which is the B band. The scoring system page explains that each claim starts at 1,000 points, loses points on more than 65 weighted criteria, is tagged with deduction codes naming each failed criterion, and is rejected below 700, and that accuracy is measured through regular control studies with data split into learning and testing sets.
The ROI page shows 99.5 per cent valid-claim identification and 98 per cent fraud identification accuracy, but inside a worked example case rather than as a labelled result with a sample, period and method, and the Accuracy Explained section was not reached. For this product the question is the reliability of its own eligibility scoring, which this row grades under R126. Verified 18 September 2026.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
Automated eligibility decisions are described with a threshold and reasons, but no human review position is published, which places this at C. The scoring system marks any claim that falls below 700 points as rejected, and the product page describes automated claims processing producing eligibility decisions, delivered in real time to claims systems through the API. Deduction codes give an administrator the reasons for each score, which is a real review surface.
Nothing published says whether a person reviews rejected claims, whether rejection is final or a recommendation to the administrator, or whether a claimant flagged in error can cure, which matters because these decisions determine who in a class is paid. Verified 18 September 2026.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Named deployments are published without measured outcomes from them, which is the B band. The case experience page lists about twenty matters with docket numbers and courts, including Lopez v. Apple, Katz-Lacabe v. Oracle, Brooks v. Thomson Reuters, In re Broiler Chicken Antitrust Litigation and Kessler v. Quaker Oats, names some thirty federal, state and Canadian courts where the vendor has served, and describes its work as court-appointed neutral and consultant; the home and product pages add further matters, including mass torts.
None of these is paired with a result, and the ROI page's savings figures come from an illustrative example case, so no outcome is tied to a named matter with a method. Verified 18 September 2026.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
Confidentiality rests on an audited control set while the only published policy covering the Services permits selling or sharing personal information, which places this at C. The security page says the SOC 2 Type II examination covers the Confidentiality trust services criterion and describes role-based access controls. The privacy policy, which states that it applies to the vendor's class action settlement services, says that identifiers such as name, postal address and email, along with commercial and online activity information and inferences, will be sold or shared with advertising and analytics partners, and permits de-identified use to improve the Services.
No customer agreement setting confidentiality terms for class member data is published, and privilege and work product are not addressed. Verified 18 September 2026.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point.
Nothing published on the product's role relative to legal judgment. Searched the home, product, scoring, ROI and security pages, the Terms of Use and the Privacy Policy on 18 September 2026. The product produces claim eligibility decisions presented as able to withstand court scrutiny, but no statement addresses who is responsible for those determinations, whether they constitute advice to counsel or the court, or what counsel and administrators must verify. The published terms govern the website only. Verified 18 September 2026.
AI Governance and Bias Disclosure
Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
A testing practice is described without a governance framework or any disclosure on uneven impact, which places this at C. The scoring system page says accuracy is measured through regular control studies, with criteria weighted by machine learning on known valid and invalid claims and separate learning and testing sets, which is evidence of how the vendor tests. Nothing names an accountable owner or governance process, and nothing addresses whether fraud criteria such as shared contact attributes or name variations flag some groups of legitimate claimants more than others, which is the bias question a court or class counsel would ask. Verified 18 September 2026.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Security practices are listed while the data terms are generic and permissive, which places this at C. The security page describes encryption in transit and at rest, role-based access, WAF and DDoS protection, backups, disaster recovery, penetration testing, vendor risk management and an incident response framework. The privacy policy keeps personal information as long as reasonably necessary, names no subprocessors beyond categories, sets no incident notification timeline, and permits sale or sharing of personal information with advertising and analytics partners. No retention or deletion commitment for customer claim files is published. Verified 18 September 2026.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
Nothing published on liability for the product. Searched the Terms of Use, Privacy Policy, home, product and security pages on 18 September 2026. The Terms of Use govern the website and refer product use to a separate licence agreement and ordering documents, which are not published; no warranty, indemnity, cap or insurance position for the scoring services was located. Verified 18 September 2026.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
The integration paths are described with what they move, short of documentation read, which is the B band. ClaimScore connects in real time through an API key to an administrator's digital claim form and sends results directly to claims or client management systems, and a retro review path takes bulk claim files by secure transfer and returns result files with match and validation fields. The developer page describes per-case API keys that keep each case's claim data separate, webhooks returning a score, determination and deduction codes for each claim, usage alerts, validation status updates, a mock server, and sandbox, staging and production environments.
The API reference itself sits behind a login at docs.claimscore.ai, so it could not be read. No specific claims administration or case management system is named. Verified 18 September 2026.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
Cloud delivery is described without a named host, tenancy or region, which is the C band. The security page refers to trusted cloud partners for redundancy and the privacy policy says the company and its sites are based in the United States for U.S. users, but no hosting provider, data location or tenancy model for claim data is stated. Verified 18 September 2026.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
A named attestation with scope and a request route, short of auditor and period, which is the B band. The security page states SOC 2 Type II examination by an independent AICPA-accredited firm covering the Security, Availability and Confidentiality trust services criteria, with current reports available on request under a mutual NDA, and lists penetration testing and vulnerability assessment. The auditor and report period are not named. Verified 18 September 2026.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The model architecture is described as built in-house, without versions or change notification, which is the B band. The vendor says it owns its own data and builds its own models, and describes ClaimScore as a proprietary expert system of more than 65 criteria with weights learned by neural-network machine learning on cohorts of known valid and invalid claims. No third-party model provider is indicated, no model version or update cadence is published, and nothing commits to telling customers when scoring criteria or weights change mid-case. Verified 18 September 2026.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
Cost is described only relative to value, without a rate or unit, which places this at C. The ROI page says the cost of ClaimScore averages under five per cent of the amount saved from fraudulent claims regardless of case type, and walks through an example case, but no price, unit or pricing model is published and buying runs through a demo request. Verified 18 September 2026.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
The segment and the litigation stages covered are described with substance, short of stated limits, which is the B band. The vendor serves settlement administrators, class counsel, defence counsel and courts across class actions, mass torts and mass arbitrations, covering class certification data, notice, claims processing and payment, and lists consumer, privacy, antitrust, securities and pharmaceutical matters. It does not state case sizes, claim types or jurisdictions it handles less well. Verified 18 September 2026.
6 public documents
The public pages on file for Covalynt, 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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covalynt.com/legal/privacy3 signals
Client Data in Training, Prompt and Output Retention, Third Party Request and Subpoena Notice
Read Sep 18, 2026
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covalynt.com/company/security1 signal
Ethical Walls and Matter Segregation
Read Sep 18, 2026
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covalynt.com/products/claimscore1 signal
Court Disclosure Support
Read Sep 18, 2026
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Billing and Fee Posture
Read Sep 18, 2026
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Refusal and Uncertainty Behaviour
Read Sep 18, 2026
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Fabricated Citation Record
Read Sep 18, 2026
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The customer agreement or data processing addendum contractually limits use of Customer Data to providing the contracted service, and no surface names training either way. The limit is bound, which a policy page is not, but it is not an express training prohibition. If any surface names training in either direction, one of the other values is true and this one is not.
No customer agreement is published; the privacy policy covering the Services permits use bounded to improving them and never names training. It allows personal information in de-identified or aggregate form to be used to improve the Services, and the scoring system page says criterion weights are learned by machine learning on cohorts of known valid and invalid claims without saying whose claims. Nothing states whether a customer's claim files are used to train or reweight the 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 acknowledged without a stated period. The privacy policy keeps personal information as long as reasonably necessary for the purposes collected, including legal, accounting and dispute purposes. No retention or deletion terms for customer claim files are published.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Segregation is asserted in public materials with no published detail on how it is enforced.
Role-based access is asserted without detail on how case data is separated. The security page says role-based access controls limit users to the data and systems their roles require. Nothing documents separation between matters, administrators or opposing parties sharing the platform.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.
Disclosure in response to legal process is addressed and customer notice is not. The privacy policy permits sharing personal information to respond to subpoenas, court orders, law enforcement or government requests, with no commitment to notify the customer.
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.
Searched the home, product, scoring, ROI and security pages and the privacy policy on 18 September 2026. The vendor refers to its own proprietary data used to enrich and validate claims but names no data source or licence; no legal research corpus is involved.
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.
Searched the same surfaces on 18 September 2026. The product does not cite legal authority, so no subsequent-history check arises and none is described.
Refusal and Uncertainty Behaviour
What does the product do when the answer is not in the corpus?
The product exposes a confidence or grounding score without an explicit abstention path.
Every output carries a score and reasons, with a fixed threshold rather than an abstention path. Claims start at 1,000 points, lose points on failed criteria tagged with deduction codes, and are marked rejected below 700. Nothing describes a middle band referred for human review or how the system handles claims it cannot assess.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
Searched the AI Hallucination Cases database maintained by Damien Charlotin and trade press reporting on 18 September 2026 for court records addressing fabricated or hallucinated content in output from Covalynt or ClaimScore. None located. This signal does not record litigation history of any other kind, including rulings on claims in settlements where the product was used.
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.
Searched the home, product and security pages, the insights listing and the policies on 18 September 2026. The vendor references Rule 23 duties and judicial scrutiny of settlements, which are procedural law, but names no bar ethics opinion or court rule on AI.
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.
Savings are claimed for settlement funds and class members, without billing or disclosure guidance. The ROI page says the product's cost averages under five per cent of the amount saved and increases payouts in common fund cases, and the home page pitches protection of class counsel's fee award. Nothing addresses how the cost is borne or disclosed to the court or class.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
Searched the security page, the privacy policy and the product pages on 18 September 2026. No subprocessor list, hosting provider or data processing agreement is published; the security page refers only to trusted cloud partners and vendor risk management.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
A per-claim record of the automated decision is described, short of model identification or a human verification step. The product page offers case-ready explanations documenting every flag, scoring input and eligibility decision, deduction codes explain each score, and DeepValidation documents each step in a reproducible process. Nothing records the model or criteria version applied to a claim or who reviewed the decision.