Casepoint released its first two Casepoint IQ agents, the Relevance Determination Agent and the Issue Coding Agent, now live in its eDiscovery application for early access customers. The Relevance Determination Agent assigns each document a relevance or responsiveness likelihood score with its reasoning, and the Issue Coding Agent codes documents against matter defined issues with an optional post run QC that reports recall and precision per issue code. Both use a multimodel cross check and require users to validate performance on a sample set before the agent runs across the full document set.
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Casepoint
Casepoint is an eDiscovery and data discovery platform for government agencies, corporate legal departments and law firms. It runs legal hold, collection, processing, review, production, investigations and FOIA public records response in one system. Its AI, CaseAssist, is included in the price. It ranks documents for review as reviewers code them, and answers questions about a matter's documents with citations. Its security authorizations for government work include FedRAMP High and Department of Defense Impact Levels 4 to 6. Casepoint says it serves about 80 percent of federal agencies and more than 250 government agencies in total.
Casepoint, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
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Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
Capability grades
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
CaseAssist Active Learning learns from reviewers' decisions to put likely relevant documents first, and the vendor ties its claim of 95 percent faster identification to it. Generative features add chat over customer data, summaries and automatic classification. Without the AI, a full eDiscovery platform remains: legal hold, collection from Microsoft 365, Teams, Slack and Google Vault, processing of more than 600 file types, review, production, FOIA work and hosting at government authorization levels.
The AI is bundled at no extra cost rather than sold on its own, and the vendor leads with security and unified workflow, with AI third.
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.
Generative answers use retrieval augmented generation over the customer's own data, with source citations, so a reviewer can open the document behind an answer. The agreement names five limits of its AI: training data quality, errors from vague prompts, nuance and sarcasm in language, factual inaccuracy, and lack of common sense. No accuracy figure, recall or precision statistic, or validation protocol is published, and courts examine validation statistics for technology assisted review. The terms also bar customers from sharing benchmark results without written consent.
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.
Casepoint states that its technology should amplify human judgment, not replace it, and the agreement commits to human in the loop AI features. Every generative feature is optional, and the customer controls adoption. Reviewers get source citations on generated answers, and transparency logs are said to record every AI decision. Active learning is supervised by design, since reviewers' own calls train it. The agreement also tells customers not to rely solely on output for anything with material consequences.
No threshold at which a feature declines to answer, no behavior when the data does not support a result, and no route for reporting a wrong output is described.
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.
Marriott International, Mayo Clinic, the West Virginia Office of Technology, Kramer Levin, Beveridge & Diamond, Larkin Hoffman and Lewis Roca are named as customers, with named people and titles. Lewis Roca, an Am Law 200 firm, is tied to a measured result: more than 90 percent less document review time from the analytics and AI. Other case studies report a 57 percent cut in discovery related costs at a Fortune 500 construction company, faster FOIA responses at a major defense agency, and a migration of up to a petabyte at a federal regulator.
Casepoint states more than 250 government agencies and about 80 percent of federal agencies as customers. Most measured results name a category rather than a customer.
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.
Confidential information, as the agreement defines it, includes attorney work product, attorney client privilege, personal data and health data. A separate AI clause makes AI inputs and outputs customer data and confidential information, limits their use to running the service, and commits AI features to enforce the customer's access and matter permissions. It also prevents retrieval across tenants or matters and logs administrative access.
Casepoint staff may review AI inputs or outputs only for customer requested support or a security incident, with time limited, audited access. Remote support needs the customer's own enablement and multi factor authentication. Another clause gives Casepoint a transferable license over customer data and usage data to improve its products, and the AI clause carves out only AI inputs and outputs.
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.
Customers are told not to rely solely on any output, including AI output, for anything with material consequences or that affects anyone's rights, under Casepoint's agreement. It makes the customer responsible for the completeness, accuracy and content of the results it relies on. Human in the loop is a stated commitment, and the vendor says technology should amplify human judgment. No bar or ethics authority is named, including ABA Formal Opinion 512, no jurisdiction limits are stated, and nothing addresses the duties of the reviewers who act on the output. The product has no consumer facing surface.
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.
TRUST, the AI framework, has five principles, and Casepoint's terms turn several of them into commitments. The terms limit how AI inputs and outputs may be used, restrict staff review of them, require AI features to respect the customer's access and matter permissions, and require logging of administrative access. Transparency logs are said to record every AI decision. Customers above a stated spend get an annual audit right over privacy and security controls.
No fairness testing, testing regime or accountable owner is published, and nothing addresses whether review ranking can be uneven across custodians, languages or document types.
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.
Casepoint commits to written notice within seventy two hours of a validated security incident, with updates on cause, mitigation, impact and remediation. On termination it exports all customer data in a common format within a seven day window, and states that copies may persist on backup media. Access controls include role based access, zero trust networking, encryption in transit and at rest, and no standing remote support access.
Staff face ten year criminal background checks and OFAC screening. Disaster recovery plans are tested every year. The agreement promises a subprocessor list, and none 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.
The general cap is the fees paid under the relevant order in the six months before a claim. A higher cap of five times annual fees, plus direct damages, applies to confidentiality breaches, data breaches, gross negligence and willful misconduct. Personal injury, fraud and anything that cannot be excluded by law are carved out. Casepoint defends and indemnifies against claims that the software infringes a copyright in the United States or misappropriates a trade secret, with named remedies.
The software is warranted to perform substantially as documented for sixty days, services are warranted as workmanlike, and uptime is committed at 99.5 percent with service credits. No warranty attaches to AI output, the agreement puts accuracy on the customer, and no insurance position is published.
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.
Microsoft 365, Microsoft Teams, Slack and Google Vault are collected in place without manual export, through connections into the systems where data lives, with more than 600 file types in processing. An API automates collection from those platforms. The MCP Server connects a customer's own approved AI systems to the platform. No iManage or NetDocuments integration is named, nothing covers matter management, ebilling or court filing, and no public API documentation is published. The terms restrict use of APIs Casepoint does not support.
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.
Deployment comes three ways, hosted by Casepoint with 99.5 percent uptime, installed by the customer or a third party under named conditions, and in separately certified government environments. SOC 1, SOC 2, SOC 3, ISO 9001, ISO 27001 and NIST apply to the commercial offering, and GovRAMP, FedRAMP Moderate and High and Department of Defense Impact Levels 4 to 6 to certain environments. Residency is committed for export controlled data, which stays in environments Casepoint controls in the United States, with no replication abroad and access only by American persons.
No region list for the commercial offering, tenancy model, or split between where data is stored and where it is processed is published. A Canada government offering appears in the navigation with no residency statement.
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.
Casepoint holds fourteen certifications and authorizations, each explained on its security page. They are FedRAMP High and Moderate, Department of Defense Impact Levels 4, 5 and 6 with DISA authorities to operate, GovRAMP, SOC 1 Type II, SOC 2 Type II, SOC 3, the SIG questionnaire, ISO 9001:2015, ISO 27001:2022, NIST 800-53, NIST 800-171 and the Data Privacy Framework between the EU and the United States. FedRAMP and DISA authorizations are assessed by third parties and listed by the authorizing bodies, so they can be confirmed without a sales call.
The SOC 2 Type II is described as annual, covering all five Trust Services Criteria over twelve months. The agreement restates the set and says which apply to the commercial offering and which to certain environments. No auditor is named for the SOC or ISO work, and no report date is shown. Reports are available to customers on request.
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.
Generative answers use retrieval augmented generation over the customer's own data. The agreement names machine learning, technology assisted review and large language models as the technologies in use. It commits Casepoint to license third party software properly, patch it, and keep a list of material third party components and subprocessors; that list is not published. No model, provider, version or inference location is named, and no notice is promised when a model changes. The separate MCP Server lets a customer connect its own approved AI systems.
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 pricing page is titled Transparent Pricing and gives no price. It does publish the shape of the deal: a modular platform priced to the applications a customer takes, with no charge for products it does not use. The purchasable modules are named across the site, from eDiscovery and Legal Hold to FOIA, Casepoint AI and the MCP Server. The agreement adds billing mechanics. Fees are the greater of actual usage or the agreed cap, metered on data storage, processing and users.
Terms run one year and renew automatically unless either side gives sixty days' notice. No rate, per gigabyte or per user figure, or starting price is published. The only route is a demo request.
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.
By market Casepoint serves federal civilian, federal defense, state, local and education, Canada, and corporate enterprise. By team it serves corporate legal, government legal, FOIA and public records, audit and investigations, and IT and security, with a separate law firm page. Use cases include legal hold, investigations, litigation, eDiscovery, data subject access requests, third party subpoena responses, FOIA requests and congressional inquiries.
It processes more than 600 file types from named sources. No excluded practice area, unsupported data source or volume limit is named on the platform, pricing or security pages or in the site navigation, and the Canada offering is not described.
4 public documents
The public pages on file for Casepoint, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
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Client Data in Training, Prompt and Output Retention, Ethical Walls and Matter Segregation and 2 more
Read Aug 31, 2026
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Court Disclosure Support
Read Aug 31, 2026
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Billing and Fee Posture
Read Aug 31, 2026
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Fabricated Citation Record
Read Aug 31, 2026
No published figure
- Casepoint has a page called Transparent Pricing that does not tell you the price.
- What it does tell you is how the bill is built: you buy the parts of the platform you actually use, and you are not charged for the ones you do not.
- The contract says the meter runs on how much data you store, how much you process, and how many people have accounts.
- It also says you pay the higher of what you actually used or the cap you agreed to in advance, so going under your estimate does not make it cheaper.
- To find out what any of that costs, you have to book a demo and ask.
The pricing page, the platform page and the standard terms and conditions publish a structure with no figure at any level. Pricing is modular and tailored to the applications and use cases a customer takes, and a customer does not pay for a product it does not use. The modules are named as Casepoint eDiscovery, Legal Hold, FOIA, Filestore, Casepoint AI, Casepoint Investigator, the MCP Server and Data Connectors, plus five government products: ATIPXpress, eCASE Audit, eCASE Investigations, FOIAXpress and mLINQS.
CaseAssist, the AI and analytics suite, is included at no extra cost. Usage fees are the greater of maximum actual usage in the period or the agreed cap, metered on data storage, processing and user counts. Orders state the period, quantities and agreed cost per item. Payment is net thirty, with 1.5 percent interest a month on late amounts and suspension at forty five days past due. The first term is one year and renews yearly unless either side gives sixty days' notice.
Disputed charges must be raised within twenty business days. Not published: any rate or starting figure, any per gigabyte, per user or per matter price, any tier pricing, or what implementation, migration or training adds. The only call to action on the pricing page is a demo request.
Note: No figure is published, so the entry price is left empty rather than shown as free. The pricing page is titled Transparent Pricing and contains no price. What is disclosed is the modular structure and, in the agreement, the billing mechanics and the units on which usage is metered.
Tracked changes at Casepoint
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
Training occurs only where the customer has affirmatively enabled it.
Casepoint will use AI inputs and outputs only to provide, secure and support the service, and not for product improvement, unrelated analytics or AI training without the customer's approval. AI inputs include prompts, questions, customer data and metadata sent to AI features. Two other statements bear on it. The AI strategy page goes further than the contract and says customer data is never used to train models. And another clause gives Casepoint a transferable license over customer data and usage data to improve its products, with only AI inputs and outputs carved out.
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.
The agreement treats AI inputs and outputs as customer data and confidential information, so prompts and results belong to the customer like anything else it uploads. On termination Casepoint exports all customer data in a common format, may delete its copies after delivery or seven days from notice, and states that backup copies may persist. No retention period during the term, separate lifecycle for prompts and outputs, or zero retention setting for AI use is published.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Retrieval enforces the source system access model at query time, per user, and the vendor documents it.
The agreement commits that AI features will enforce the customer's access controls and matter and workspace permissions, prevent retrieval across tenants or matters, and log administrative access to AI inputs and outputs. Casepoint is itself the system of record, so the AI works inside the platform's own permission model. Support access follows the same rules: no standing access, enablement only by the customer's administrators, access limited to the relevant matter, named staff with multi factor authentication, and audit logs for the customer.
Neither how the boundary is enforced technically nor how the commercial and government environments are kept apart is described.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
The confidentiality clause allows disclosure under law, court order, subpoena or other compulsory process on three conditions. The receiving party must notify the other immediately and share the relevant documents on request. It must resist and limit the disclosure, including by lawful objection, protective orders and redaction. And it must cooperate with the other side's efforts to protect the information. A matching clause requires a government customer under FOIA or an open records law to give Casepoint notice and a chance to object before releasing its confidential information. No transparency report or disclosure statistics are published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
Documents the customer collects from its own systems are the material, so there is no vendor assembled body of law, content license or data supplier to name. The agreement states that the customer owns all customer data, with Casepoint holding only a limited license to provide the service. Collection sources are named, including Microsoft 365, Teams, Slack and Google Vault.
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.
Primary law sits outside the platform, which works on the customer's own collected documents, so there is no cited authority to check and no citator is claimed. The related accuracy question for this product is validation of technology assisted review, and no recall, precision or elusion figure is published.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
Nothing on the AI strategy, platform or security pages or in the full terms describes what the generative features do when the data does not support an answer. There is no abstention path, no confidence or grounding indicator for the user, and no statement of what a chat query shows when it finds nothing. The agreement tells customers that output has limits and should not be relied on alone, which allocates risk rather than describing behavior. Active learning ranks documents by predicted relevance, and nothing says how uncertainty in that ranking is shown.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
The AI Hallucination Cases database maintained by Damien Charlotin records no case naming Casepoint, and no court order, opinion or disciplinary record naming the product appears in several independent 2026 sanctions trackers or trade coverage. Casepoint's generative features answer questions about collected documents rather than citing law, so a fabricated citation would not usually start here.
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.
Casepoint's marketing promises defensible results, processes and chain of custody, and the agreement supports that with audit logging. No rule, standard or opinion is cited on the platform, AI strategy, pricing or security pages or in the full terms: not the Federal Rules of Civil Procedure, Rule 502(d), Sedona Conference commentary, ABA Formal Opinion 512 or any state bar guidance.
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.
Casepoint publishes cost and speed claims: a 57 percent cut in discovery related costs, relevant data found up to 95 percent faster, time to insight cut by up to 83 percent, FOIA processing up to 75 percent faster, and lower outside counsel spend. The pricing, platform and AI strategy pages and the full terms describe no record of AI assisted work by matter for fee purposes and no guidance on how AI assisted review should show on a client's bill.
One named law firm customer says it looks forward to guidance on billing and cost recapture, which the vendor has not published.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a sales conversation or an executed agreement.
The agreement commits Casepoint to provide third party audits and its SIG questionnaire on request, to keep a list of material third party components and subprocessors, and to give customers above a stated spend a yearly audit right. A data processing agreement is referenced beside the security page. The fourteen certifications appear on the public security page, and the FedRAMP and Department of Defense authorizations can be confirmed with the authorizing bodies. No subprocessor list is published, despite the commitment to keep one, and no model provider is named.
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.
Transparency logs are said to document every AI decision, generated answers cite sources in the customer's data, administrative access to AI inputs and outputs is logged, and support access logs are made available to the customer. Chain of custody from preservation to production is the platform's central design. No model is named or versioned, so a filing could not say which system produced an output. Nothing says whether the transparency log can be exported for a standing order or certification, and no template exists for disclosing AI use to a court.