Qwilr

Summary

The provided diff does not include the actual added, deleted, or replaced legal language. It only states:

> “Added approximately 162 words to the document”

Accordingly, it is not possible to identify:

• Changes to customer data rights or usage permissions
• Whether customer data may be used to train, fine-tune, validate, or improve AI models
• New disclosures, consent requirements, or opt-out rights
• Data retention, deletion, security, or confidentiality changes
• Changes to ownership of inputs, outputs, or derived data
• New indemnities, liability limitations, audit rights, or compliance obligations

AI Training and Data-Use Risk

No conclusion can be reached about AI-model training because the added language itself is missing. The key provisions to review would include references to:

• “Train,” “fine-tune,” “improve,” “develop,” or “evaluate” models
• “Customer Data,” “Inputs,” “Content,” or “Usage Data”
• De-identification, aggregation, anonymization, or telemetry
• Service providers, affiliates, or third-party model providers
• Opt-out mechanisms or enterprise/customer-controlled settings
• Retention after termination and deletion obligations

Required Information

Please provide the full diff, including the text enclosed in:

• {additions}
• [deletions]
• []{replacements}

Without the substantive wording, the legal and commercial impact cannot be reliably assessed.

Key Changes and Risks

1. Customer data and AI/model training

• No express customer-data training permission appears to have been added. The revised data-use clause permits Qwilr to use customer data to:
• provide and support the Platform;
• diagnose problems;
• maintain security and integrity;
• enhance or modify the Platform;
• perform analytics; and
• develop other services, provided Qwilr de-identifies “Your Data.”

• Important ambiguity: The clause does not expressly say whether customer data may be used to train, fine-tune, evaluate, or improve generative AI or machine-learning models. “Enhance,” “analytics,” and “develop other services” could potentially be broad enough to include model development, particularly after de-identification.

• De-identification is not defined. The Terms do not state the standard used, whether re-identification is prohibited, whether derived data or embeddings remain after deletion, or whether customer data may be shared with AI or other subprocessors.

• No apparent opt-out, approval, or model-specific restriction is provided for customers whose data is confidential, personal, regulated, or commercially sensitive. Customers should seek a written clarification that their content will not be used for AI training or model improvement unless expressly authorised.

• Qwilr may anonymise or permanently delete data after termination, generally after one month, subject to technical feasibility and legal requirements. Customers remain responsible for exporting and backing up important data.

2. Subscription and payment changes

• Subscriptions may have a minimum term and automatically roll over on an ongoing basis unless suspended or terminated.
• Fees are stated to be non-refundable to the maximum extent permitted by law.
• Customers are responsible for their Authorised Users’ actions.
• Fee changes may take effect after notice periods of 14 or 30 days, depending on the relevant charge or plan.

3. Liability changes

• Qwilr’s liability is capped at the Fees paid during the preceding 12 months.
• Consequential loss is excluded, and the revised wording expressly includes loss resulting from data loss or corruption.
• Liability is also excluded for Third Party Services, customer systems, user conduct, maintenance, and events outside Qwilr’s control.
• This materially increases the customer’s risk for data loss, service interruption, third-party integrations, and AI-generated outputs.

4. AI-generated content

• Customers acknowledge that AI-generated content may contain errors or inconsistencies.
• Customers are solely responsible for reviewing, verifying, and approving it.
• Qwilr gives no warranty regarding accuracy, completeness, or suitability and accepts no liability for resulting loss.

5. Other material changes

• Corporate Terms prevail over these Terms where inconsistent, but must be agreed in writing.
• Qwilr may amend the Terms with 30 days’ notice; customers may terminate without penalty within that period if they disagree.
• New or clarified restrictions prohibit unlawful or inappropriate use, data mining, scraping, robots, and similar extraction tools.

Key Changes and Risks

1. Customer data, analytics and AI-model use

• The revised data-use clause continues to permit Qwilr to use “Your Data” to:
• provide the Platform;
• diagnose problems;
• maintain Platform security and integrity;
• enhance or modify the Platform;
• perform analytics; and
• develop other services, provided Qwilr de-identifies Your Data.
• The diff does not expressly state whether customer data may be used to train, fine-tune, evaluate or improve AI models. However, “enhance,” “perform Analytics,” and “develop other services” are broad enough that they may encompass AI-model development, particularly where data is de-identified.
• There is no apparent customer right to:
• opt out of AI training or model development;
• approve the use of data for those purposes;
• require deletion from model-training datasets; or
• receive details about de-identification methods, retention, subprocessors or model providers.
• “De-identified” is not defined in the supplied text. De-identification may reduce privacy risk but may not eliminate re-identification risk, particularly for commercially sensitive documents or unusual datasets.
• The Privacy Policy is incorporated by reference and may contain additional data-use terms. Customers should review it alongside these Terms and seek an express contractual restriction if AI training is unacceptable.

2. AI-generated content disclaimer

The revised terms expressly state that:

• AI-generated content may contain errors, inaccuracies or inconsistencies;
• customers are solely responsible for reviewing, verifying and approving it;
• Qwilr gives no warranty about its accuracy, completeness or suitability; and
• Qwilr has no liability for resulting loss or damage.

This shifts substantially more operational and legal risk to the customer, especially where AI-generated content is used in customer-facing documents, proposals, legal materials or regulated communications.

3. Subscription and payment risks

• Subscriptions may have a minimum term and automatically renew on an ongoing basis.
• Cancellation may only occur at the end of the minimum term.
• Fees are stated to be non-refundable to the maximum extent permitted by law.
• Fee changes may apply after notice, and customers may have limited ability to exit without penalty.

4. Liability and data-loss risks

• Liability is capped generally at fees paid in the preceding 12 months.
• Consequential loss, certain losses, data loss/corruption and Third Party Services are excluded or heavily restricted.
• Customers are responsible for backups; Qwilr may have no liability for loss or deletion of data.
• After termination, Qwilr may anonymise or permanently delete data after one month, subject to legal requirements and technical feasibility.

5. Unilateral changes and customer responsibility

• Qwilr may amend the Terms on 30 days’ notice. Customers must terminate within that period if they do not agree.
• Customers are responsible for Authorised Users and, when acting for a business, warrant authority to bind the business and its personnel.
• Restrictions on scraping, data-mining and automated extraction have been broadened and clarified.

Summary

Available Information

The diff only states:

> “Added approximately 162 words to the document”

No actual added, deleted, or replaced contract language has been provided.

Legal and Commercial Impact

It is therefore not possible to determine:

• What contractual rights or obligations changed;
• Whether liability, indemnity, confidentiality, ownership, termination, or governing-law provisions were modified;
• Whether the customer’s data may be accessed, retained, disclosed, or transferred differently;
• Whether service providers or subprocessors received expanded rights;
• Whether the additions affect security, compliance, audit, or breach-notification obligations.

AI Training and Data Use

The available diff contains no substantive language addressing:

• Use of customer data to train, fine-tune, test, validate, or improve AI or machine-learning models;
• Whether customer data, prompts, inputs, outputs, or metadata may be used for product improvement;
• Whether data may be aggregated, anonymized, or combined with other customers’ data;
• Whether human reviewers or third-party AI providers may access the data;
• Whether the customer can opt out of AI training or require deletion of training-related copies;
• Ownership or licensing rights in data, inputs, outputs, or model improvements.

Accordingly, no conclusion can be reached about changes to AI-training rights or related privacy and confidentiality risks.

Information Needed

Please provide the actual text of the additions, deletions, and replacements—for example:

• Added text in {curly brackets};
• Deleted text in [square brackets];
• Replacements in []{replacement text}.

Without the substantive diff, a meaningful legal risk analysis is not possible.

Summary

The provided diff does not include the actual amended contract language. It only states:

> “Added approximately 162 words to the document”

Accordingly, it is not possible to identify the legal changes, new risks, or any provisions concerning use of customer data to train AI models.

AI Training and Data-Use Changes

• No substantive text is provided addressing:
• Whether customer data may be used to train, fine-tune, or improve AI models;
• Whether customer prompts, inputs, outputs, or usage data are retained;
• Whether data is anonymized, aggregated, or shared with third parties;
• Whether the customer can opt out of AI training;
• Whether data may be used for general model development beyond providing the services; or
• Ownership, confidentiality, or deletion rights relating to AI-generated outputs or training data.

Risk Assessment

Because the inserted language is missing, the following risks cannot be assessed:

• Expansion of the provider’s rights to use customer data;
• Reduced confidentiality or privacy protections;
• Use of data for unrelated commercial or model-training purposes;
• Sharing of data with affiliates, contractors, or model providers;
• Lack of consent, notice, or opt-out rights;
• Indefinite retention of data used in training; and
• Inability to remove customer data from trained models.

Information Needed

Please provide the actual 162 added words, together with any surrounding language or the complete before-and-after provision. The specific wording is necessary to determine whether the amendment creates new data-use, confidentiality, intellectual-property, privacy, or compliance obligations.

Key Changes and Risks

1. Customer data and AI/model training

• The revised data-use wording continues to permit Qwilr to use “Your Data” to:
• provide and support the Platform;
• diagnose problems;
• maintain Platform security and integrity;
• enhance or modify the Platform;
• perform analytics; and
• develop other services, provided Qwilr de-identifies Your Data.
• The diff does not expressly say that customer data may be used to train AI models, nor does it expressly prohibit such use. However, “develop other services” and “perform Analytics” are broad enough that they could potentially include development, testing, evaluation, or improvement of AI systems, particularly where data is de-identified.
• There is no clear definition in the diff of:
• “de-identified”;
• whether de-identification is reversible;
• whether aggregated or derived data may be retained indefinitely;
• whether human review or third-party AI providers may access the data; or
• whether customers can opt out of AI/model-development use.
• Customers remain responsible for ensuring that uploaded personal information is used lawfully and, in relevant cases, uploaded only with the individual’s consent. This shifts privacy and data-protection risk toward the customer.
• On termination, Qwilr may anonymise or permanently delete Your Data after one month. Customers may request deletion, but deletion is subject to applicable law and technical feasibility. This could leave residual anonymised or derived information available for analytics or service development.
• The AI provisions appear to address AI-generated output, not training. Customers must review and verify AI-generated content, and Qwilr gives no accuracy or suitability warranty and accepts no related liability.

Risk assessment: The wording provides no express customer assurance that data will not be used to train general-purpose or third-party AI models. Customers handling confidential, personal, regulated, or commercially sensitive information should seek an express no-training restriction, purpose limitation, retention period, and details of subprocessors and safeguards.

2. Subscription and commercial terms

• Subscriptions may have a minimum term, can automatically roll over, and fees are generally non-refundable.
• Customers may terminate without penalty following certain amendments, but must act within 30 days of notice. Continued use is deemed acceptance.
• Qwilr may amend the Terms with 30 days’ notice, creating a risk that material terms—including data-use terms—can change during the subscription.

3. Liability and data-loss exposure

• Liability is capped at fees paid in the preceding 12 months.
• Consequential loss, loss or corruption of data, third-party services, and various service interruptions are excluded or limited.
• Customers are expected to maintain their own backups, materially increasing the impact of data loss or deletion.

4. Other important changes

• The contracting entity is identified as Qwilr Operating Company Australia Pty Ltd.
• Corporate Terms prevail over the online Terms where inconsistent, if mutually agreed in writing.
• Business users warrant authority to bind their employer and its personnel.
• Qwilr may receive referral fees or commissions connected with third-party websites or featured products.

Key Changes and Risks

1. Customer data and AI/model training

• The revised data-use provision permits Qwilr to use “Your Data” to:
• provide and operate the Platform;
• diagnose problems;
• maintain Platform security and integrity;
• enhance or modify the Platform;
• perform analytics; and
• develop other services, provided Qwilr de-identifies Your Data.
• The diff does not expressly authorise training AI models, nor does it expressly prohibit Qwilr from using de-identified data to train, fine-tune, evaluate, or improve AI models. “Develop other services” and “enhance” could potentially be interpreted broadly enough to include those activities.
• There is no clear definition of:
• “de-identify”;
• whether de-identification is irreversible;
• whether inputs, prompts, outputs, metadata, usage data, or account information are included;
• whether data may be disclosed to AI or other third-party providers; or
• whether customers can opt out.
• The Privacy Policy is incorporated by reference and may contain additional data-use permissions. Customers should review it alongside these Terms.
• The revised AI provisions mainly state that AI-generated content may contain errors and that the customer is responsible for reviewing and approving it. They do not provide meaningful assurances about confidentiality, model training, retention, human review, accuracy, or third-party AI providers.

Risk: Confidential or personal information placed into the Platform may potentially contribute to product development or AI-related activities after de-identification, with uncertain safeguards. Customers requiring “no training” or strict data segregation should seek an express contractual restriction.

2. Subscription and termination

• New provisions warn that subscriptions may have a minimum term and automatically renew on an ongoing basis unless suspended or terminated.
• Fees are stated to be non-refundable, to the maximum extent permitted by law.
• Customers may terminate without penalty if they reject amended Terms, but must provide notice within 30 days of receiving the amendment notice.
• Qwilr may amend the Terms at any time with 30 days’ notice.

Risk: Customers may be committed for a minimum term, face automatic renewal, and have limited practical ability to reject changes.

3. Liability and data loss

• Qwilr’s liability is capped at the Fees paid during the preceding 12 months.
• Consequential loss, loss resulting from particular account types, third-party services, data loss, and data corruption are broadly excluded.
• Customers are responsible for their own backups, and Qwilr may anonymise or permanently delete data one month after termination.

Risk: Recovery for data loss, corruption, service failures, or AI-related harm may be substantially limited.

4. Other notable changes

• Corporate Terms prevail over the online Terms where inconsistent, but must be mutually agreed in writing.
• Business users warrant authority to bind their employer and its personnel.
• Qwilr may receive referral fees or commissions from third-party products or links.
• Use restrictions are expanded, including prohibitions on data mining, screen scraping, and similar extraction tools.

Summary

The supplied diff does not include the text of the added language. It only states:

> “Added approximately 162 words to the document”

Accordingly, it is not possible to identify the legal changes, new risks, or any provisions concerning the customer’s data and AI model training.

AI Training and Data Use

No operative language is provided addressing whether customer data may be:

• Used to train, fine-tune, or improve AI models;
• Used to develop products or services;
• Shared with affiliates, vendors, or model providers;
• Combined with other customers’ data;
• Retained after termination;
• De-identified or anonymized before use;
• Used for human review, monitoring, or quality assurance; or
• Excluded from training by default or only upon opt-out.

Risk Assessment

The risk cannot be assessed without the actual 162-word addition. In particular, it is necessary to determine whether the new language:

1. Grants the provider a broad or perpetual license to customer data;

2. Permits use of customer content for AI training without separate consent;

3. Applies to personal data, confidential information, or regulated data;

4. Allows third-party AI providers to access or retain the data;

5. Limits the customer’s ability to opt out;

6. Makes “de-identified” data eligible for unrestricted use; or

7. Reduces the provider’s confidentiality, security, or deletion obligations.

Please provide the actual added, deleted, and replacement text for a substantive comparison.

Summary

The provided diff does not include the actual added, deleted, or replacement language. It only states:

> “Added approximately 162 words to the document”

As a result, it is not possible to determine:

• What contractual provisions changed;
• Whether new obligations, rights, limitations, or liabilities were introduced;
• Whether pricing, termination, confidentiality, security, intellectual property, or governing-law terms changed; or
• Whether the customer’s data may now be used to train, fine-tune, evaluate, or otherwise improve AI models.

AI Training and Data-Use Analysis

No conclusions can be reached regarding AI-model training because the substantive wording of the 162-word addition was not provided. In particular, the missing language could potentially address:

• Use of customer data or content to train or improve models;
• Whether training use is automatic or requires consent;
• Whether data is anonymized, aggregated, or de-identified;
• Use of prompts, inputs, outputs, metadata, or usage analytics;
• Opt-out or deletion rights;
• Retention periods and post-termination use;
• Sharing with affiliates, vendors, or model providers; and
• Ownership or licensing rights in customer data and model outputs.

These provisions can materially affect confidentiality, privacy, intellectual-property ownership, regulatory compliance, and the customer’s ability to control or remove its data.

Required Information

Please provide the actual redlined text, including:

• Additions in {curly braces};
• Deletions in [square brackets]; and
• Replacements in []{} format.

Without the substantive diff, any legal-risk assessment would be speculative.

Key Changes and Risks

1. Customer data and AI/model training

• The revised data-use language expressly permits Qwilr to use customer data to:
• provide and support the Platform;
• diagnose problems;
• maintain Platform security and integrity;
• enhance or modify the Platform;
• perform analytics; and
• develop other services, provided Qwilr de-identifies “Your Data.”

• The diff does not expressly state that customer data may be used to train AI models, nor does it expressly prohibit such training. However, “enhance and otherwise modify the Platform,” “perform Analytics,” and “develop other services” are broad enough that Qwilr could potentially argue that de-identified data may be used for AI development, model improvement, testing, or training.

• “De-identify” is not defined in the diff. This creates uncertainty about:
• the standard of anonymisation;
• whether re-identification is technically or contractually prohibited;
• whether prompts, documents, metadata, usage information, or derived data are covered; and
• whether data can be shared with AI vendors or other service providers.

• The revised terms should be clarified if the customer requires that its data, prompts, documents, personal information, or outputs not be used to train, fine-tune, evaluate, or improve general-purpose or third-party AI models. A separate data-processing or AI-use schedule may be appropriate.

2. Subscription and cancellation

• New provisions may impose a minimum subscription term.
• Subscriptions automatically renew on an ongoing basis unless suspended or terminated.
• Fees are stated to be non-refundable to the maximum extent permitted by law.
• Customers may terminate without penalty following amendments to the Terms, but only by giving written notice within 30 days. Continued use after that period is deemed acceptance.

Risk: Customers may be locked into minimum terms, renewals, and non-refundable charges, with a limited cancellation window.

3. Liability and data-loss exposure

• Liability is capped at the Fees paid in the preceding 12 months.
• Consequential loss, losses resulting from third-party services, and loss or corruption of data are excluded.
• Customers are responsible for backups and Qwilr may permanently delete or anonymise data one month after termination.

Risk: Recovery for data loss, corruption, service interruption, or unauthorised disclosure may be substantially limited, particularly where AI or third-party services are involved.

4. Corporate authority and precedence

• Users acting for a business now warrant that they are authorised to bind the business and its personnel.
• Corporate Terms prevail over the standard Terms where inconsistent, but must be mutually agreed in writing.

Risk: An individual user may incur contractual exposure if they lack authority, while the business may still be bound through use of the Platform.

5. Other notable changes

• Qwilr may receive referral fees or commissions for linked or featured third-party products and services.
• The acceptable-use provisions are reorganised and expressly prohibit data mining, scraping, and similar extraction tools.
• AI-generated content remains subject to customer verification, with no accuracy warranty and broad exclusion of liability.

Summary

The provided diff does not include the actual contractual language. It only states:

> “Added approximately 162 words to the document”

Accordingly, it is not possible to determine:

• What provisions were added, removed, or replaced;
• Whether the customer’s data may be used to train, fine-tune, evaluate, or improve AI models;
• Whether data is used for service delivery only or for broader commercial purposes;
• Whether the customer can opt out of AI training or withdraw consent;
• Whether personal, confidential, regulated, or customer-content data is included;
• Whether data is retained, anonymized, aggregated, or shared with third parties;
• Whether the provider obtains ownership or licensing rights in customer data or model outputs;
• Whether new security, confidentiality, audit, deletion, or regulatory risks have been introduced.

Please provide the full redline using the stated notation—additions in {}, deletions in [], and replacements as []{}—so the legal and AI-training implications can be analyzed.

Key Changes and Risks

1. Customer data and AI/model training

• The revised data-use clause permits Qwilr to use “Your Data” to:
• provide and operate the Platform;
• diagnose problems;
• maintain security and integrity;
• enhance or modify the Platform;
• perform analytics; and
• develop other services, provided Qwilr de-identifies Your Data.
• The clause does not expressly say whether customer data may be used to train, fine-tune, evaluate, or improve AI models. However, “enhance and otherwise modify the Platform,” “perform Analytics,” and “develop other services” could potentially encompass AI development or model training.
• “De-identify” is not defined in the supplied text. This creates uncertainty about:
• the standard used to anonymise data;
• whether re-identification is technically possible;
• whether derived data, prompts, outputs, embeddings, or metadata remain attributable to the customer; and
• whether data may be shared with AI or other third-party service providers.
• The privacy policy is incorporated by reference and should be reviewed alongside these Terms. It may contain additional permissions or restrictions concerning AI, analytics, retention, and personal information.
• The customer remains responsible for ensuring that uploaded data does not infringe privacy or other rights. The Terms specifically prohibit uploading private or personal information without the relevant individual’s consent. This may create compliance risk where customer content includes employee, customer, or other third-party information.
• On termination, Qwilr may anonymise or permanently delete data after one month. Customers may request deletion, but deletion is subject to applicable law and technical feasibility.

Recommended clarification: obtain an express statement addressing whether customer data, prompts, documents, personal information, metadata, and outputs are used for AI training or model improvement, whether use is opt-in/opt-out, which providers receive the data, and what “de-identified” means.

2. Subscription and payment changes

• Subscriptions may have a minimum term and automatically roll over on an ongoing basis unless suspended or terminated.
• Fees are stated to be non-refundable to the maximum extent permitted by law.
• Customers are expressly responsible for Authorised Users’ actions.
• Changes to the Terms may be made with 30 days’ notice. Customers may terminate without penalty within that period, but continued use after the notice period constitutes acceptance.

3. Liability and data-loss exposure

• Qwilr’s aggregate liability is limited to Fees paid in the preceding 12 months.
• Consequential loss, loss of data, corruption, and losses connected with Third-Party Services are excluded or heavily restricted.
• Customers are advised to maintain independent backups, and Qwilr disclaims liability for loss or deletion of stored data.

4. Other notable changes

• Corporate Terms prevail over these Terms where inconsistent, but must be mutually agreed in writing.
• The customer representative warrants authority to bind the business and its personnel.
• Qwilr may receive referral fees or commissions from third-party websites or featured products.
• The revised Terms identify the contracting entity as Qwilr Operating Company Australia Pty Ltd and update contact details.

Summary of Important Changes

1. Customer data and AI-model training

• The revised terms state that Qwilr may use “Your Data” to:
• provide and operate the Platform;
• diagnose problems;
• maintain Platform security and integrity;
• enhance or modify the Platform;
• perform analytics; and
• develop other services, provided Qwilr de-identifies Your Data.
• The diff does not expressly state whether customer data may be used to train, fine-tune, evaluate, or improve artificial-intelligence or machine-learning models. “Enhance,” “analytics,” and “develop other services” could potentially be broad enough to include AI development, but the wording is ambiguous.
• The terms include provisions addressing AI-generated content, warning that it may contain errors and placing responsibility on the customer to review and approve it. Qwilr disclaims warranties and liability for resulting loss.
• The revised terms also refer customers to a separate Privacy Policy. Because the data-use permission is not limited clearly to service delivery or expressly excluded from AI training, the Privacy Policy should be reviewed for additional AI-related rights, retention periods, subprocessors, and opt-out mechanisms.
• Risk: Confidential, personal, or commercially sensitive information could potentially be used for analytics or product development after de-identification. “De-identified” is not defined, and de-identification may not eliminate re-identification or confidentiality risks.

2. Subscription and payment changes

• New or clarified provisions may impose a minimum subscription term.
• Subscriptions automatically roll over on an ongoing basis unless suspended or terminated under the terms.
• Fees are stated to be non-refundable to the maximum extent permitted by law.
• Customers may terminate without penalty following notice of amended terms, but the notice period and minimum-term restrictions may make exit more difficult.
• Qwilr may amend the terms with 30 days’ notice. Continued use after that period constitutes acceptance.

3. Liability and data-loss risk

• Qwilr’s liability is capped at the fees paid during the preceding 12 months.
• Consequential loss, certain indirect losses, loss or corruption of data, and losses involving third-party services are excluded.
• Customers are responsible for backups and are warned that Qwilr may have no liability for data loss or deletion.
• After termination, Qwilr may anonymise or permanently delete data after one month, subject to legal and technical feasibility.

4. Other material changes

• Customers are expressly responsible for their Authorised Users’ actions.
• Third-party services and third-party links are more clearly addressed, including possible referral fees or commissions.
• Corporate terms prevail over the standard terms where inconsistent, but must be mutually agreed in writing.
• Users must not use data-mining, scraping, robots, or similar extraction tools.

> Review point: The supplied diff appears heavily repetitive and structurally corrupted. The clean revised agreement should be checked before signing, particularly the complete “Your Data,” AI, Privacy Policy, and termination provisions.