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Haast

Haast reviews regulated marketing and communications against an organization's policies and risk tolerance. It applies separate AI agents to individual compliance tasks, flags concerns in draft content and suggests corrections. After publication, it monitors websites, social channels and authorized partner material for changes and continuing compliance risks. Regulatory horizon scanning connects changing obligations with the policies used in reviews.

Content creators can run a first review, revise the flagged passages and send unresolved issues to compliance staff. Reviewers inspect the reasoning, add comments and approve or reject the material. Google Docs users perform those steps in a sidebar, with the audit history retained in Haast. Legal engineers help translate customer rules into the system, and teams can vary settings across products, brands and geographic markets.

Operated by Haast Pty Ltd, the platform serves enterprise legal, compliance and marketing departments in financial services, retail, telecommunications and other regulated industries. Equity Trustees uses it for regulated materials and ongoing monitoring. Charges are based on usage with rates negotiated privately. Customer content may improve its own account's reviews, while a public policy excludes training shared or third party models. The public agreement does not define remedies for incorrect compliance output.

Compared with

Haast, 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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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.

AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.

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.

Haast applies AI agents to marketing and communications compliance before publication and throughout the life of published content. Each agent handles a particular compliance task using regulations, internal policies and earlier review decisions. The customer sets a risk tolerance for individual rules, and reviewer feedback changes later analysis. Findings identify suspect content, explain the applied requirement and suggest a correction.

Continuous monitoring extends the same work to websites, social channels and authorized partner material. Approval routing and audit history support that analysis. Removing the models would remove the automated interpretation and review service that Haast sells to enterprise compliance teams.

Source: Vendor Published
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

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.

Findings trace back to configured rules and explain the text or claim that triggered a concern. Haast separates checks into dedicated agents and adjusts analysis through reviewer feedback. A September 2026 comparison claims 98.7% accuracy across more than 400,000 compliance checks, but gives no reproducible test set, error breakdown or evaluation protocol. Configured company standards can be inspected, yet an openable primary authority link for each legal assertion is not specified.

Nor is there a described mechanism for checking subsequent legal treatment. The product provides reasoning about rules, without a public evaluation that establishes reliable citation accuracy across those rules.

Source: Vendor Published
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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.

Content creators can correct flagged wording, repeat a review and submit unresolved findings to compliance. Reviewers see the analysis, leave comments and approve or reject material within the existing approval process. Risk tolerance can vary by agent, product, region or campaign, including a strict setting for claim language. In Google Docs, an unresolved submission generates an email link for the reviewer to open the same sidebar.

These are concrete review and escalation surfaces. The public control description does not specify an automatic stop for unsupported legal reasoning, a mandatory reviewer threshold or a recovery procedure after an incorrect approval reaches publication.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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.

Equity Trustees uses Haast to precheck regulated materials, newsletters and fact sheets and to monitor fund manager and superannuation marketing online. Its November 2024 account describes more than 80 custom compliance requirements and monitoring across thousands of resources. Those details identify an operating workflow and the scale of its rule configuration. Wessel van Keulen also describes using Haast during regulatory change work at Zurich.

Figures such as faster review and reduced manual effort accompany the broader product offering, but a dated baseline, comparable sample and measurement method are not supplied for the Equity Trustees deployment. Its account establishes use without a controlled outcome study.

Source: Vendor Published
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

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.

Customer content is limited to running compliance reviews and improving accuracy within that customer's account. Haast expressly excludes training shared or third party models in its product policy. Google integration data has a further purpose restriction and passes to infrastructure providers only as necessary for enabled functionality. Encryption and authenticated access protect stored and transmitted information.

The public usage agreement does not reproduce an express training prohibition, and attorney client privilege and work product treatment are not specifically addressed. Granular administrative controls are available, but matter level segregation and the retention terms of individual model providers remain outside the public confidentiality description.

Source: Vendor Published
DD on UPL and Professional Responsibility PostureNothing published on the advice line for a product that produces legal work, including where it is sold to people who are not lawyers.

UPL and Professional Responsibility Posture

Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.

The intended users include enterprise lawyers, compliance staff and marketers. Marketing teams receive an initial review, while compliance reviewers resolve findings and make publication decisions. Haast's implementation staff translate customer policies into automated checks, and the platform is described as an AI legal reviewer. A separate statement defining the boundary between software output and legal advice is not supplied in the current usage policy or product materials.

Nor are lawyer competence duties, consumer disclosures or jurisdictional limits on legal services set out. The authorized content restriction governs what customers may monitor; it does not explain professional responsibility for an erroneous legal interpretation.

Source: Vendor Published
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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.

Haast emphasizes explainable decisions, customer control of rule settings and ongoing feedback from legal reviewers. Each task has its own agent, and a finding exposes the rule applied and the reason for the flag. Those features support a customer's compliance governance, while legal engineers help encode the customer's standards during implementation. A separate vendor governance framework does not name an accountable AI officer, describe release approval testing or report uneven performance across industries, languages or protected groups.

The aggregate accuracy claim also lacks a published evaluation protocol. The available commitments concern transparent operation and customization rather than a defined vendor assurance program.

Source: Vendor Published
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

AI Safety and Data Stewardship

Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.

The March 2026 privacy policy covers use of the compliance platform as well as the website. It specifies encryption, multifactor authentication for sensitive systems, intrusion detection, vulnerability assessments and an incident response plan with legally required breach notice. Information is retained while a legitimate purpose continues, then deleted or anonymized; backups may remain securely stored when deletion is not possible.

Individuals can request access, correction or deletion by email. Google data has a separate restriction to enabled functionality and equivalent protections for infrastructure providers. No current list of subprocessors, prompt specific retention schedule or fixed backup deletion deadline accompanies these controls.

Source: Vendor Published
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

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 public terms page contains a usage policy covering authorized users, lawful activity, prohibited content and restrictions on competitor monitoring. Haast may throttle or suspend access for violations and can modify that policy without advance notice. The policy does not allocate financial loss from an incorrect compliance finding or an approval that misses a regulatory issue. No output warranty, vendor indemnity, liability cap or contractual correction remedy is stated there.

Customer support and reviewer feedback provide operational assistance, but their availability does not establish compensation rights. Any additional commercial allocation of those risks remains outside the publicly available agreement.

Source: Vendor Published
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

Practice Systems Integration Depth

How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.

The Google Docs add on has a published installation and review sequence. A customer installs it from the Workspace Marketplace, grants permissions and signs in with Haast credentials or single sign on. Content is analyzed from a sidebar, with findings linked to the relevant passage. Authors edit in the original file and run another review; unresolved issues are submitted to compliance, whose reviewer receives an email link to that file and sees the same findings and comments.

Haast retains the audit history. This describes configuration and movement of content and review work, beyond the separate lists naming Word, Figma and Workfront connections.

Source: Vendor Published
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

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.

Haast is delivered as software as a service, with account login, browser access and connections inside content creation tools. Its Google Docs integration authorizes access to the specific content needed for the requested functionality. Customer rules can vary across brands, teams and geographic markets within a deployment. The published delivery description does not identify hosting regions, distinguish storage location from AI processing location or explain whether customers share underlying infrastructure.

International regulatory coverage concerns the rules being applied, rather than where information is processed. Private cloud, installation on customer infrastructure and region selection are not specified as purchasing options.

Source: Vendor Published
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

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.

The current privacy policy identifies ISO 27001 and SOC 2 Type II certifications and describes independent audits. Platform materials repeat ISO 27001 certification and SOC 2 compliance. The accompanying controls include encryption, authentication, vulnerability review and incident handling, while procurement teams can request security documentation through the RFP process. The public materials do not provide the audit period, certification scope, issuing assessor or an immediately accessible report.

A reader can identify the standards Haast claims, but cannot establish their coverage of individual AI services from those statements alone. No specific model provider assurance is incorporated into that certification description.

Source: Vendor Published
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

Model Supply Chain Disclosure

Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.

The processing architecture assigns an individual agent to each compliance task instead of using one general agent for every rule. Customer policies, past decisions and risk settings shape those agents, and feedback from reviewers adjusts later work. This explains how analysis is organized and customized. It does not identify the underlying model families, their providers, versions or inference locations. Google APIs supply an integration channel, not an identification of the models performing compliance analysis.

Shared model training is excluded by policy, but provider retention terms and a commitment to notify customers about model substitutions are not included in the public architecture description.

Source: Vendor Published
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

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.

Haast charges according to usage rather than the number of individual users. Its enterprise pricing description permits the broader team to use the service without a separate subscription for every person. Rates and the exact metered unit are not published, and no named package table sets out included volumes, overage prices or minimum commitments. Implementation is tailored to users, rules, content and integrations with legal and technical staff involved.

The associated implementation charge is not stated. The commercial structure is therefore a negotiated usage subscription with an identified basis, while the amount and the boundary of included deployment services remain private.

Source: Vendor Published
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Firm and Practice Coverage

Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.

The product serves enterprise legal, compliance and marketing departments reviewing regulated communications. Financial services coverage includes FINRA, SEC, FCA and consumer protection requirements; separate industry workflows address retail, telecommunications, pharmaceuticals, gaming and other regulated businesses. Teams can apply different rule sets across products, regions, campaigns and brands. Supported material includes text, images, presentations, audio and video, with monitoring of websites and authorized partner channels after publication.

The published scope explains these supported compliance tasks but does not offer a definitive jurisdiction exclusion list or limits for unusual content. It is an enterprise review platform rather than a general case management service for law firms.

Source: Vendor Published
Sources on file

7 public documents

The public pages on file for Haast, 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.

Pricing

Usage based enterprise pricing

  • The charge follows usage rather than seats.
  • The broader team can use the platform without separate subscriptions per person.
  • Rates and implementation charges require a quote.

Charges are based on usage rather than individual user subscriptions. Rates and the exact metered unit are negotiated.

Implementation: Implementation is tailored to rules, content, users and integrations. A separate fee is not published.

Note: No public package limits, minimum commitment or overage schedule are supplied.

Legal Signals

What each signal means

A 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.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Never, in policy only

A public policy or trust page states no training on customer content, with no matching term located in the published agreement.

Haast's platform policy excludes use of customer content to train shared or third party AI models. Content can support compliance reviews and improve accuracy inside the customer's own account, and reviewer feedback teaches that account's rules. Google user data has a separate restriction to enabled features. The published usage agreement does not contain a matching express training prohibition. This commitment therefore concerns shared training at the policy level; it does not prohibit all adaptation of a customer's dedicated review configuration or describe every provider's retention arrangements.

Source: Vendor Publishednever used to train sharedAs of Oct 16, 2026Evidence

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Disclosed without a period

Retention is acknowledged in public materials with no stated period.

Personal information stays for as long as a legitimate service or legal purpose requires it. Haast then deletes or anonymizes it, while information in backups can remain securely stored if deletion is not feasible. Google content is retained only as necessary for the requested integration. No fixed active retention period for prompts, findings or uploaded materials is stated, and no administrative retention selector is described.

Email requests support individual access and deletion rights, subject to applicable law, rather than an automatic schedule for every compliance asset.

Source: Vendor Publishedas long as necessary for the purposesAs of Oct 16, 2026Evidence

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Claimed, not documented

Segregation is asserted in public materials with no published detail on how it is enforced.

Administrative access controls and organization scoped sharing are part of Haast's service. Its privacy policy says contributions are typically visible to other users inside the same organization, and the homepage identifies granular user administration and single sign on. These measures do not describe retrieval authorization for each user, segregation between client matters or inheritance of permissions from a source document system.

The Google integration requires authorization, but its public instructions do not explain how later access changes propagate to stored analysis. Detailed ethical wall enforcement remains unspecified.

Source: Vendor PublishedGranular admin controls for user accessAs of Oct 16, 2026Evidence

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Not addressed

No located term or policy addresses third party requests for customer data.

The privacy policy permits processing to meet legal obligations and sets out sharing with service providers, transaction counterparties and other authorized organizational users. It does not describe a process for responding to subpoenas for customer content, or promise notice to the customer before compelled production. The public usage agreement supplies no additional notice procedure. An incident response commitment concerns a data breach, which is a different event from lawful compulsory disclosure. No transparency report or published process for contesting an overbroad demand is identified.

Source: Vendor PublishedAs of Oct 16, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Sources named, basis unstated

Sources are identified without stating the license or rights basis.

Haast names regulatory frameworks including FINRA, SEC, FTC and FCA requirements and applies them alongside customer policies and prior decisions. Its horizon scanning feature tracks changes across the United States, Europe and Asia Pacific, with daily monitoring described for regulatory updates. The product does not identify the publishing or licensing basis for the underlying regulatory texts, or a complete list of source feeds and their individual update delays.

Customer rule configuration supplies additional internal material, but does not establish rights in every external authority used during analysis.

Source: Vendor Publishedframeworks like FINRA, FTC, and FCAAs of Oct 16, 2026Evidence

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Not addressed

No located public material addresses whether authority is checked for subsequent history.

Regulatory horizon scanning alerts teams to changed obligations and connects those changes with policies and content reviews. That is a regulatory monitoring function, rather than a described determination of the subsequent history of an opinion cited in an answer. Haast does not identify a commercial citator or its own method for flagging overruled or limited judicial authority. Traceability to a configured rule explains why a marketing item was flagged, but does not demonstrate that any case supporting that rule remains legally valid.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

Findings include an explanation and reference to the configured rule, and users can adjust risk tolerance or return a decision for further compliance review. Haast does not describe a specific refusal response when no supporting rule exists, a no answer state for an unsupported legal assertion or a threshold that suppresses uncertain analysis. A strict setting for claim language controls the customer's compliance standard, rather than evidencing an abstention mechanism.

Human review remains available, but the public workflow does not show what the model returns when relevant support is missing.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

None located

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.

Damien Charlotin's AI Hallucination Cases database contains no Haast entry concerning fabricated legal citations as of October 16, 2026. Haast primarily reviews enterprise communications and monitors published content, rather than preparing briefs for filing. That operating context does not establish that every regulatory assertion is accurate or that unsupported references cannot occur. The absence of a matching court finding concerns fabricated citations specifically.

It does not establish the quality of the review engine, validate its aggregate accuracy claim or determine the outcome of any customer's compliance program.

Source: Bar Guidance or Court RecordAs of Oct 16, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Not addressed

No located public material engages with bar or ethics guidance.

Legal and compliance professionals configure Haast's rules, review findings and approve content, but the public materials do not connect those practices to a named bar ethics opinion. There is no product mapping to lawyer competence, client consent, confidentiality or supervision guidance across jurisdictions. References to FINRA, FCA and other advertising requirements concern the advertising rules applied during content review.

They do not establish engagement with professional conduct rules for lawyers using AI. The available implementation assistance focuses on encoding company standards and maintaining the organization's review process.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Outside the fee relationship

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.

Haast is sold to enterprise marketing, legal and compliance teams reviewing their organization's communications. Its promised reductions in manual review and faster approvals concern internal operating effort, rather than a charge from outside counsel to a client. The usage subscription is the enterprise's software cost. Approval histories can show work performed, but the product is not described as a legal fee authoring or benchmarking service.

No conversion of saved review hours into a client invoice is part of the stated workflow, and no law firm fee guidance accompanies it.

Source: Vendor PublishedReduction in manual reviewAs of Oct 16, 2026Evidence

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

On request only

The material exists behind a sales conversation or an executed agreement.

Procurement teams can request security documentation and responses to an RFP alongside a tailored demonstration. Public privacy and security statements also describe encryption, authentication and restrictions on shared model training. The promised procurement material is accessed through Haast's sales process rather than supplied as a published client disclosure pack. A current model provider list, subprocessor inventory and standard explanation for outside counsel to forward to a client are not openly available. The RFP offer establishes a route to request material without specifying every artifact that route will provide.

Source: Vendor Publishedsecurity docs, and RFP responsesAs of Oct 16, 2026Evidence

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Partial record

Some elements of the record are available, short of a document level export.

Haast keeps a history of AI findings, reviewer comments and compliance approvals. The Google Docs workflow links the analysis to the content under review, and the audit trail remains within Haast as teams edit and resolve concerns. For this compliance product, that history is relevant to an examiner or regulator asking how an asset was approved. A complete export that identifies the model version, retrieved authorities and human verification for each item is not specified. Existing review records supply part of that account without a published disclosure package.

Source: Vendor Publishedtrack all content compliance approvalsAs of Oct 16, 2026Evidence
Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 462 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 16, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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