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HyperStart CLM
HyperStart CLM is contract lifecycle management software from HyperVerge, a bootstrapped AI company with offices in Bangalore, Coimbatore, Palo Alto and Ho Chi Minh City. It covers drafting from templates, intake forms and conditional logic, no code approval workflows, negotiation with AI redlining and version history, eSignature through Docusign, Adobe Acrobat Sign, Zoho Sign or a native one time password option, a repository with AI search filters, AI extraction of metadata for obligations and renewals, reminders, and an InFlight dashboard that tracks contracts in progress.
HyperStart sells it to legal, sales, procurement, finance and HR teams; its legal pages speak to in house counsel and mention law firms alongside. AI Smart Assist gives a first pass redline and contract summaries, and HyperStart says its AI is built on HyperVerge technology that has processed more than a billion documents. Its FAQ quotes implementation at four to six weeks, with contract migration, workflow setup and a named account manager included, and offers a seven day trial before purchase.
Prices are quoted by team size and contract volume. Case studies name LeadSquared, Qapita, Rentomojo and Lumelight. The contracting entity is HyperVerge Technologies Private Limited, under Indian law, with hosting in India or the United States.
HyperStart CLM, 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.
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.
HyperStart CLM is a contract workflow and repository product: templates and intake forms, conditional approvals, negotiation with version history and an audit trail, eSignature, storage, reminders and an InFlight dashboard of contracts in progress. AI drives several of its core functions. The repository is searched with AI filters that HyperStart says retrieve a contract in two seconds. AI extracts metadata such as parties, dates, renewal terms and clauses like liability and indemnity when contracts are imported, so legacy contracts can be bulk loaded and tagged in one step.
AI Smart Assist produces a first pass redline and contract summaries during review. The workflow, signing and repository functions would still run without the models. HyperStart says its AI is built on HyperVerge's document technology, and its subprocessor list names OpenAI for artificial intelligence and Microsoft Azure for optical character recognition.
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.
HyperStart says its AI is built on HyperVerge technology that has processed more than a billion documents in over 70 countries at more than 95 percent accuracy. The figure describes HyperVerge's document processing across its business, and no test set, document type or method is published for contract extraction or AI redlining. The other published figures measure speed: a first cut review of a 40 page master services agreement highlighting about 20 critical items in under a minute, according to LeadSquared's head of legal, and 75 percent faster closures on the AI review page.
Clause 3.5 of the Terms of Service says AI results may vary with the quality of the client's data and may not always be fully accurate, complete or suitable, and recommends that the client apply its own judgment and validation. Nothing published describes how a redline suggestion or a summary points back to the clause or playbook position behind it.
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.
AI redlines arrive as suggestions in the negotiation view, where users can suggest, roll back and comment with every internal and external change visible, and approvals run through no code workflows with conditional logic that legal configures. Version control and an audit trail record each change. Clause 3.5 of the Terms of Service recommends that the client exercise appropriate judgment and validation where necessary and says HyperStart accepts no liability for decisions made on AI outputs.
Nothing published states that a person must review AI output before it is sent, sets a point at which the AI stops or hands back, or says what the AI may change on its own. HyperStart markets self serve contracting for business teams, with legal setting the guardrails.
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.
Four case studies name customers: LeadSquared, Qapita, Rentomojo and Lumelight. LeadSquared, a sales software company with four legal counsel and a general counsel handling 180 to 250 contracts a month, reports more than six hours saved on contract review with AI, a 60 percent cut in contract creation time and 92 percent faster contract reporting, quoted by Om Prakash Pandey, its head of legal, who says HyperStart was chosen from about five vendors against 22 criteria.
Qapita, an equity management platform with a one person contract team serving more than 2,400 clients, describes migrating its contracts in minutes with AI extracted metadata, quoted by Mayuri Jaltare, Company Secretary. Site wide figures, such as 80 percent less contract admin time, five times faster review and $20 saved per contract, carry no named customer. No case study gives a deployment date or a measurement method.
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 Terms of Service, version 2.0, effective for order forms from 20 August 2025, keep the client the sole owner of its data (2.6) and license HyperStart to process client data only during the term and only to provide the services (2.5). Clause 8.6 says client data is stored solely to provide the services, including debugging and support, and for no other purpose, and clause 8.3 limits HyperStart's own analytics to aggregated, anonymized usage data without reference to client data.
Clause 6 binds both sides to confidentiality, with prior notice before any legally required disclosure, and clause 9.1 indemnifies the client against third party claims from unauthorized disclosure or misuse of its data caused by HyperStart's breach. The DPA commits to keeping each client's personal data logically separated from other clients' data (4.6). Training of models is not mentioned for client data, and privilege, work product and what OpenAI retains from a request are not addressed.
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.
Clause 3.4 of the Terms of Service states that the services are intended solely to enable technology based contract lifecycle management and do not constitute legal advice, and that HyperStart does not decide how long contracts must be kept under applicable law. Clause 3.5 adds that AI results may not always be accurate or suitable and recommends the client's own judgment and validation. The product is sold to sales, procurement, finance and HR users as well as lawyers, with a simple interface for both legal and nonlegal teams and self serve contracting inside guardrails legal sets.
Nothing published addresses a lawyer's competence or supervision duties when AI redlines are used, who in a client should review AI output before it reaches a counterparty, or limits by jurisdiction.
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.
HyperStart publishes no AI governance position. There is no responsible AI page, no statement of principles, no named owner for model behavior, no description of testing before an AI feature ships, and no AI management certification such as ISO/IEC 42001. The security material covers information security, ISO 27001 and SOC 2, which govern systems rather than model behavior. The only AI specific terms are commercial: clause 3.5 of the Terms of Service on the limits of AI output and clause 2.4, which bars the client from using the services to train or build an AI model.
Nothing addresses whether extraction or redlining performs differently across contract types, languages or jurisdictions, although HyperStart sells across India, the United States and other markets.
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.
On termination, clause 4.3 of the Terms of Service returns the client's contracts as Word or PDF downloads and deletes all client data within 30 days, or sooner on written instruction. The Data Processing Addendum adds deletion of personal data on written request, with deletion procured from subprocessors and demonstrated to the client (7.1), and deletion by HyperStart and its subprocessors within 30 days of the order form ending (7.3).
It commits to least privilege access with revocation when a role ends (4.5), logical separation from other clients' data (4.6), testing and audits at least once every 12 months (4.8), and notice of a security incident without undue delay with a 48 hour window from detection stated in clause 5.2. A subprocessor list updated 18 August 2025 names each supplier, its location and its role, separately for US and India hosting. The list carries no commitment to notify clients of changes, and nothing states what OpenAI keeps from a request.
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 Terms of Service warrant that the services will materially conform to the order form and terms, comply with applicable law, be performed with reasonable skill and care, and run with business continuity and disaster recovery in place (3.2). HyperStart defends and indemnifies the client against third party claims of intellectual property infringement, its own gross negligence, fraud or willful default, and unauthorized disclosure or misuse of client data caused by its breach (9.1).
Each side's total liability is capped at subscription fees paid in the 12 months before the claim arose, and clause 10.2 carves nothing out of that cap, indemnities included. Indirect and consequential loss is excluded for both sides (10.1). Clause 3.5 says HyperStart accepts no liability for decisions made on AI outputs. Disputes go to arbitration seated in Bangalore under Indian law (11). No insurance 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.
HyperStart's integrations page lists Salesforce, Pipedrive and HubSpot for working on contracts from the CRM; Gmail, Zoho Mail and Outlook for importing contracts from email; Google Drive, OneDrive, SharePoint and Dropbox for storage and import; Docusign, Zoho Sign and Adobe Acrobat Sign for signatures, with a native one time password option; Slack, Microsoft Teams and Google Calendar for notifications; and Microsoft Word as the editor for review and redlining.
A Qapita customer quote describes sending and tracking counterparty emails from Outlook inside the tool, and LeadSquared's case study describes integrations with its order to cash module and SAP ERP. The pricing FAQ says some integrations are included and others are paid add ons. No API documentation, field mapping or sync direction is published, and no document management system used by law firms, such as iManage or NetDocuments, is listed.
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.
HyperStart publishes two hosting arrangements, chosen by client location. For US clients, or clients choosing US servers, the subprocessor list puts hosting and storage on Amazon Web Services in the US with the product database on MongoDB in the US. For Indian clients, or clients choosing Indian servers, hosting, storage and the database sit in India. Processing is listed separately from storage: in both arrangements optical character recognition runs on Microsoft Azure in the US and artificial intelligence on OpenAI in the US, so documents hosted in India are sent to the US for those steps.
Clause 8.6 of the Terms of Service records the client's consent to storage and processing in India and the USA. The DPA describes a multitenant service with each client's personal data logically separated (4.6). No single tenant or on premises option is offered.
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.
HyperStart states ISO 27001:2013 certification and SOC 2 Type 2 certification on its home page, pricing page and privacy policy, and clause 8.1 of the Terms of Service states the ISO certification in the contract. Clause 4.2 of the Data Processing Addendum commits to make third party certifications and policies available on a client's written request. No trust center, auditor, certificate scope, report period or certificate number is published.
The ISO standard named is the 2013 revision, which the 2022 revision replaced. A LeadSquared quote says HyperStart was the only one of about five CLM vendors it evaluated with SOC 2 compliance. The DPA also commits to assessments, audits or testing of systems at least once every 12 months (4.8).
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.
HyperStart's subprocessor list, updated 18 August 2025, names OpenAI in the US for artificial intelligence and Microsoft Azure in the US for optical character recognition, for both US and India hosting. No model name or version is given, and nothing says which features use OpenAI, whether requests run through OpenAI directly or through Azure, or what OpenAI keeps. Marketing describes the AI as built on HyperVerge's own document technology, without saying which parts are HyperVerge models and which are OpenAI.
The DPA lets HyperStart engage subprocessors as needed to provide the services and makes it liable for them (3.1, 3.4), and clause 8.8 of the Terms gives the client a right to ask about subprocessors. No commitment to notify clients before a model provider changes is published.
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.
HyperStart publishes no price figure. The pricing page asks for details and returns a quote tailored to team size and contract volume, and the home page FAQ refers to a starter plan and to plans with unlimited users. The page lists what every plan includes: workflows and approvals, migration of legacy contracts and workflow setup, and a named account manager with round the clock support. It says an annual plan saves on cost, that some integrations are included while others are paid add ons, and that a seven day free trial is available.
Clause 7 of the Terms of Service makes fees prepaid and nonrefundable, suspends access 15 days after a missed renewal payment, and allows fee revisions at renewal with written notice.
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.
HyperStart has pages for legal, sales, procurement, finance and HR teams and for industries including construction, nonprofits, healthcare, real estate, government, freight, telecom, oil and gas, healthcare payers, education, utilities and suppliers, with a life sciences version for pharma, biotech and healthcare enterprises. It describes the product as handling legal, sales, vendor, finance and HR contracts, for startups through large enterprises.
The legal page speaks to in house legal teams, and the AI review page addresses in house teams and law firms. The four named customers, LeadSquared, Qapita, Rentomojo and Lumelight, are all filed under business software on the case study page. Nothing published sets a minimum or maximum size, names contract types or languages the AI does not handle, or describes a law firm deployment.
6 public documents
The public pages on file for HyperStart CLM, 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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hyperstart.com/terms-of-service-in4 signals
Client Data in Training, Prompt and Output Retention, Third Party Request and Subpoena Notice and 1 more
Read Oct 8, 2026
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Fabricated Citation Record
Read Oct 8, 2026
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Court Disclosure Support
Read Oct 8, 2026
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hyperstart.com/dpa-in1 signal
Ethical Walls and Matter Segregation
Read Oct 8, 2026
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hyperstart.com/solutions/legal1 signal
Billing and Fee Posture
Read Oct 8, 2026
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hyperstart.com/sub-processors1 signal
Outside Counsel Guideline Readiness
Read Oct 8, 2026
No published figure
- HyperStart does not publish a price. You fill in a form and get a quote based on how many people will use it and how many contracts you have.
- There is a starter plan and there are plans with unlimited users, but no figures are shown for either.
- Every plan includes approval workflows, moving your old contracts in, setting up your workflows, and a named account manager with support at any hour.
- Some integrations cost extra. You can try it free for seven days before paying.
- You pay up front, payments are not refunded, and prices can change when you renew.
Structure published, figure withheld. The pricing page returns a custom quote tailored to team size and contract volume, and the home page refers to quotes from a starter plan or for plans with unlimited users. Included in every plan: workflows and approvals, migration of legacy contracts and workflow configuration, and a named account manager with round the clock support. An annual plan is described as saving on cost, and some integrations are complimentary while others are paid add ons.
A seven day free trial, described as a proof of concept, comes before any payment. Clause 7 of the Terms of Service, version 2.0, makes fees prepaid and nonrefundable under the order form, lets HyperStart suspend access 15 days after a missed renewal payment, and allows fee revisions at renewal with written notice in the renewal reminder.
Implementation: Migration of legacy contracts and configuration of workflows are listed as included in every plan. The FAQ puts implementation at four to six weeks; the home page also says four weeks and the about page says one week.
Confidentiality and data terms: The published Data Processing Addendum is the India version, written to the Digital Personal Data Protection Act, 2023. It covers purpose limitation, a subprocessor list, logical separation, security incident notice and deletion within 30 days of the order form ending. No business associate agreement or US specific addendum is published.
Note: No figure appears on any HyperStart page, so no entry price is shown. The terms are HyperVerge Technologies Private Limited's Terms of Service, version 2.0, effective for order forms from 20 August 2025, governed by Indian law with arbitration in Bangalore.
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.
Clause 2.5 of the Terms of Service, version 2.0, licenses HyperStart to process client data only during the term and only to provide the services, and clause 8.6 says client data is stored solely to provide the services, including debugging and support, and for no other purpose. Clause 8.3 limits HyperStart's own analysis to aggregated, anonymized usage data without reference to client data, and the Data Processing Addendum limits processing of personal data to providing the services (2.5).
No page names training of models on client data in either direction, including the privacy policy and the AI review page. The only training clause, 2.4, bars the client from using the services to train an AI model. OpenAI is the listed AI subprocessor, and nothing published states OpenAI's own terms on training for these requests.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.
Client data stays on the platform for the subscription term. On termination, clause 4.3 of the Terms of Service returns contracts as Word or PDF downloads and deletes all client data within 30 days, or earlier on the client's written instruction. Clause 7.1 of the Data Processing Addendum lets the client have personal data deleted at any time on written request, with deletion procured from subprocessors and demonstrated to the client, and clause 7.3 sets the same 30 day deletion for subprocessors when the order form ends.
The privacy policy, last updated 8 August 2025, keeps personal data as long as its stated purposes need and keeps a limited audit trail of requests and consent, and when consent is revoked it deletes personal data as soon as practicable and no later than 30 days after the request, unless the law requires it to be kept. No separate retention period is stated for prompts, AI redlines or summaries, and nothing states how long OpenAI, the listed AI subprocessor, keeps a request.
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.
Clause 4.6 of the Data Processing Addendum commits HyperStart to keep each client's personal data logically separated from data it holds for other clients, and clause 4.5 commits to least privilege access inside HyperStart. Within a client account, HyperStart's FAQ describes role based access control, and a customer case study describes granular controls over approval workflows and templates. No published material sets out the roles, the permission levels, how access to a contract or folder is granted, or whether AI search and summaries respect those permissions.
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.
Clause 6.2 of the Terms of Service requires prior notice to the other party before any disclosure of its confidential information that law requires, unless legal or administrative process forbids it. Clause 2.6 of the Data Processing Addendum adds prompt notice of any request by a government agency or law enforcement authority for personal data, unless the law or the request forbids it, and reasonable help if the client wants to contest it.
The privacy policy separately says personal data may be shared with authorities when the law requires. No transparency report is published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
HyperStart works on the client's own contracts, templates and playbooks and does not retrieve case law or legislation. Nothing published identifies what the extraction or redlining models were trained on. HyperStart describes its AI as built on HyperVerge technology that has processed more than a billion documents, without saying what those documents were or on what basis they were used, and its subprocessor list names OpenAI for artificial intelligence without describing OpenAI's training data.
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.
HyperStart manages a client's own contracts and does not cite case law or legislation, so a citator is not part of the product. Nothing on the home, AI review, legal, pricing or integrations pages, or in the Terms of Service, addresses checking authority for later history. Template language and playbook positions are maintained by the client, and nothing describes how the product flags a clause that a change in law has made out of date.
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.
No path for declining to answer is documented, and no confidence score is shown for AI extraction, redlines or summaries. Clause 3.5 of the Terms of Service says AI results may not always be fully accurate, complete or suitable and recommends the client's own validation, which describes the limits of the output rather than what the product does when it is unsure. Nothing says whether a metadata field the AI cannot read is left blank or flagged, which matters because extracted renewal and obligation dates drive the reminders.
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, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming HyperStart or HyperVerge. This is a statement about the public record rather than a finding about the product, and it covers fabricated content only. HyperStart manages commercial contracts rather than producing court filings, so its output does not ordinarily reach a brief.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials refer to professional responsibility in general terms without naming guidance.
Clause 3.4 of the Terms of Service says the services are intended solely to enable technology based contract lifecycle management and do not constitute legal advice. No bar opinion, ethics rule or professional conduct guidance is named on the product, legal or AI review pages, in the Terms of Service or in the Data Processing Addendum, and nothing connects the AI features to a lawyer's duties when reviewing AI redlines.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The product does not touch a fee between a lawyer and a client. It operates before an engagement exists, or it is bought by a team that bills no client for the work. Savings claims aimed at the buyer’s own cost are recorded in the summary and do not make the row a savings claim, because no client bill is in the loop.
HyperStart is bought by companies to run their own contracting across legal, sales, procurement, finance and HR, and every named customer is a company rather than a law firm, so no client bill sits in the loop. The savings claims are aimed at the buyer's own time and cost: 90 percent less contracting time and $20 saved per contract on the legal page, 80 percent less contract admin time, and five times faster review. The AI review page mentions law firms as users, and nothing published addresses fee treatment of AI assisted work for a firm that bills a client.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current subprocessor or model provider list is published.
HyperStart publishes a subprocessor list, updated 18 August 2025, with separate tables for US and India hosting. It names Amazon Web Services, MongoDB, OpenAI for artificial intelligence, Microsoft Azure for optical character recognition, Auth0, Twilio SendGrid, MailModo, TinyMCE, Zoho, SignDesk for electronic stamping in India, Sentry, Bugsnag and Heap, each with a location and role. The Terms of Service and the India Data Processing Addendum are published.
Certifications and security policies are available on written request under clause 4.2 of the DPA, and no client facing AI disclosure material is published.
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.
HyperStart keeps version control and an audit trail of internal and external changes in negotiation, so the history of a contract can be reconstructed, and its InFlight dashboard reports process metrics for each contract in progress, such as status, time taken to review and number of turns. Clause 6.5 of the Terms of Service lets HyperStart keep confidential information needed for audit trails after termination. Nothing published says whether an AI redline or summary is marked as machine generated in that history, or which model produced it.
No export or template for disclosing AI involvement is published. HyperStart's output is a contract or a report rather than a court filing, so the likely audience for such a record is a counterparty or an auditor.