A

Athennian

Athennian combines entity and people records, ownership structures, appointments, minute books and compliance tasks with AI assisted governance work. Its agents extract information from source files and prepare changes to registrations, authority and entity profiles for approval. Intelligence answers questions across corporate material, with citations and optional restriction to selected entities. Read MCP extends current records into external AI assistants for ownership analysis, diligence and reporting.

These capabilities reduce manual administration within a larger platform that still supports charts, templates, permissions and recordkeeping without generation. AI Intelligence and AI Core are separately priced additions, and the general workflow automation feature remains labeled beta.

Intelligence retrieves information from minute book files and connects findings across entities. Each answer links to the relevant source section so a reviewer can inspect the underlying material. Users can restrict the source entities, and structured results can open in Custom Reports for filtering and further analysis. The system says it identifies missing information instead of guessing when the minute books lack an answer.

Read MCP can also cite the live Athennian records used by an external assistant. No reproducible accuracy measurement, evaluation collection or distribution of failure types accompanies these claims, and corporate source links do not validate external legal authorities.

Entity agents extract proposed changes from source files but require a user to review and approve each update before it reaches the corporate record. Administrators can exclude entities from AI access, control intake visibility and set naming and filing preferences. Intelligence supplies direct source references for review. Read MCP has a separate categorical limit: connected assistants can retrieve authorized information but cannot add, change or delete Athennian data.

Its setup assigns an API role and access groups, with returned findings reviewed in the connected assistant. The AI terms require human judgment before reliance and prohibit representing generated output as human work.

KMSC Law partner Todd Strang describes using Athennian AI to reduce time spent uploading corporate files by half, alongside smoother annual returns and bulk generation. The account names the firm, responsible lawyer, workflow and claimed improvement, but gives no measurement period, sample or timing method. Hitachi Digital separately identifies legal counsel Thao Harrington and legal project manager Susan Pimlott, with more than one hundred twenty entities centralized and implementation completed six months ahead of schedule.

Its filing workflow stages suggested names and locations for legal approval. These accounts describe daily operations, while neither establishes measured performance for the newly launched Intelligence or MCP capabilities.

The AI terms treat inputs and outputs as customer data and prohibit Athennian and its model providers from training any AI or machine learning model with that material. Service terms protect confidential customer information through reasonable care, purpose restrictions and commitments from authorized personnel. Entity, folder and file permissions limit access, while administrators can exclude records from AI use. A broader license permits aggregated or deidentified service improvement, subject to the express training restriction.

Privilege and work product treatment are not specifically addressed, and model provider retention is not mapped. External assistants connected through MCP also introduce the customer's separate provider arrangements.

Responsibility for legal and regulatory compliance rests with the customer, and Athennian states that its service does not provide legal advice. The AI terms require appropriate human review before using or relying on outputs, and forbid presenting them as human generated. Proposed entity changes require approval in the product, while MCP cannot change the underlying records. Those controls support supervision of administrative and analytical work for legal, tax and finance teams.

They say nothing about competence across every jurisdiction and do not define licensing requirements for nonlawyer users. Templates and third party content also carry no warranty of legal currency or suitability.

Athennian's AI terms commit it to internal governance practices, including periodic evaluation and testing of output quality and reliability. They also allocate responsibility for human review, protect customer ownership of inputs and outputs, prohibit model training with customer data and require equivalent confidentiality and security obligations from model providers. Current product controls add approval before entity updates, source references, missing information responses and entity exclusions.

The framework identifies actual commitments rather than relying solely on a general responsible AI statement. It does not identify a governance owner, release acceptance criteria or results showing performance differences across corporate tasks, jurisdictions or populations.

The service agreement requires incident reporting within twenty four hours after a material security incident is determined; the data addendum sets twenty four hours after awareness for covered personal data incidents. It also provides subprocessor controls and notice subscriptions. After termination, customers have ninety days to request an export. The addendum requires deletion of personal data after that period unless law prohibits it, while broader service terms permit deletion and retain archival exceptions.

Administrators can remove intake copies after filing and restrict access. No distinct schedule covers all AI conversations, provider traces and backup copies, leaving the complete retention boundary less specific than the incident commitments.

Customers are defended and indemnified against covered intellectual property claims involving the service, with exclusions for third party content, unauthorized combinations, modifications and misuse. Ordinary liability is capped at the preceding twelve months of relevant fees. Security, confidentiality, data processing and indemnity obligations have higher limits tied to annual fees, ranging from twice the ordinary cap to specified amounts reaching $2,000,000.

Service warranties also permit termination after a breach, and deficient consulting work can trigger reperformance or a fee refund. AI accuracy remains disclaimed, including responsibility for incorrect filing and data entry. These protections do not amount to a remedy for every generated legal error.

A GraphQL interface supports reading and changing entities, appointments, ownership records, registrations and tasks. Setup requires an API key supplied in the request header, with separate regional endpoints and explicit access validation. The file interface uploads material to an entity or person and can create nested destination folders. iManage import and export uses the customer's credentials and selected folders or matters, through the Document Automation bundle.

Read MCP instead requires the All-Access API addition, a configured role and access groups, and authorization in the connected assistant; it cannot write back. Power Automate connects governance events with enterprise systems and communication workflows.

Canada is the default core region on Amazon Web Services, with an American option specified in the order form without an additional residency fee. The legal portal identifies Montreal storage and Toronto backup locations for Canada, and Oregon for the American option. The newer processor list and API references also identify European and Middle Eastern infrastructure, without mapping all deployment terms or AI features to individual locations.

Direct processing follows the contracted region, subject to support, investigation and third party exceptions. Google and Amazon support AI processing, and external MCP assistants operate under separate arrangements. Core storage location therefore does not determine every processing location.

Annual independent audits back the SOC 2 Type II assurance Athennian identifies, covering security, availability and confidentiality. Its security explanation includes AES encryption, protected transport, access logging, multifactor authentication, penetration testing and incident response. The legal portal offers the SOC report and summaries of recovery, incident and penetration tests after a nondisclosure agreement.

The open trust center does not expose report details, so the auditor, examination dates and precise covered services remain unresolved. References to NIST, ISO 27001 guidance and OWASP practices describe security approaches rather than additional certifications. These infrastructure controls also do not independently test the correctness of AI governance answers.

The AI terms name Google Gemini and Amazon Bedrock, and the service agreement identifies Google's Vertex AI in the processing workflow. The current processor list distinguishes infrastructure, application services, support contractors and customer selected integrations. Anthropic and OpenAI appear under customer success analytics, a listing that says nothing about whether they power native Intelligence answers. Read MCP separately connects customers' external assistants.

Subscribers to processor updates receive advance notice of new processors under the data addendum, but that mechanism does not promise notice of every model version change. The providers are identifiable, but Athennian gives no model versions or feature specific processing regions.

Essentials starts at $25,000 annually with one hundred entities. Professional includes two hundred entities and Enterprise three hundred, with prices supplied through sales. Additional capacity comes in bundles of fifty entities. Intelligence, AI Core, enterprise authentication and other functions can add charges; the relevant API and document connections have separate entitlements. AI action credits expire annually, and the service terms set overage at $2 per additional unit, with skill consumption subject to change on thirty days of notice.

Implementation covers configuration, migration, integrations and training but has no standard fee. The entry rate is therefore a platform starting point rather than a complete AI deployment price.

Athennian supports corporate legal, tax, treasury, finance and compliance teams, alongside law firms and other professional advisers. Its private markets workflows cover funds, special purpose vehicles, portfolio companies and layered ownership, with clients able to review selected records and approvals. Governance work includes appointments, authority, equity and debt, minute books, reporting and regulatory dates. The company identifies more than five hundred thousand entities across over one hundred fifty countries.

The figure measures operational reach, not uniform filing availability or legal research coverage in every country. Detailed boundaries for supported legal advice, practice specific accuracy and jurisdictional automation remain outside the stated coverage.