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ComplianceMemo — AI Governance Review
AI Methods of Analysis Disclosure Review
Firm: Jackson Square Capital, LLC CRD: 300314
AUM: $564,289,498 Date: July 2, 2026
Attestation: 0x3f7c2a1e9b4d6f08... Block: 38,247,193
DRAFT DEMONSTRATION — Generated for review purposes. This memo uses publicly available Form ADV data filed by Jackson Square Capital, LLC. A production ComplianceMemo is generated from your live filing.
I. Executive Summary

This ComplianceMemo documents a governance review of Jackson Square Capital, LLC's Form ADV Part 2A Item 8 disclosure as it relates to the firm's use of third-party technology platforms — specifically tru Independence and Pontera — that may incorporate AI-assisted investment analysis, data screening, or manager-evaluation tools. The review identifies a material gap between the firm's current Item 8 language, which references only fundamental and technical analysis, and the disclosure posture the SEC's Office of Examinations has prioritized in its 2024–2025 examination cycle with respect to AI governance at registered investment advisers.

This memo establishes a documented, good-faith record that the firm has reviewed its AI-related disclosure obligations, assessed the scope of any AI-assisted tools in its investment process, and considered specific language amendments to Item 8 — creating an auditable compliance trail that can be produced to examiners on demand.

This document has been cryptographically anchored on Gnosis Chain at block 38,247,193; the hash uniquely identifies this version and cannot be altered retroactively.

II. Disclosure Gap Analysis
A. Current Item 8 Language
“[The firm] utilizes fundamental analysis and technical analysis when structuring client portfolios.” The brochure further describes the evaluation of independent managers as encompassing assessment of “research capabilities” and “third-party analyses it believes are reputable” without identifying whether any such analyses are generated, screened, or augmented by AI-assisted tools.
B. Applicable Regulatory Standard

Form ADV Part 2A Item 8 requires advisers to describe the methods of analysis and investment strategies they use and the material risks associated with each. The SEC's 2024–2025 Examination Priorities explicitly identify AI governance — including disclosure of AI-assisted tools used in investment analysis — as a primary examination focus for registered investment advisers. Enforcement actions in 2024, including actions against Delphia and Global Predictions, have established that the SEC views undisclosed or inaccurately described AI use in the investment process as a material omission implicating an adviser's duty of candor to clients and the Commission.

Where an adviser receives investment-related technology services from a platform provider such as tru Independence, and where that platform's tools may include AI-assisted screening, portfolio analytics, or manager-evaluation functions, examiners have prioritized determining whether the adviser's Item 8 disclosure accurately reflects the actual methods of analysis employed — including those embedded in third-party platforms.

C. Examination Exposure Created by Current Disclosure

Gap 1 — Undisclosed Tool Scope: If the tru Independence or Pontera platforms incorporate AI-assisted analytics, data screening, or manager-rating functions that inform the firm's investment recommendations or manager-selection process, the current Item 8 description of “fundamental and technical analysis” does not capture those methods. This creates examination exposure under Form ADV Part 2A Item 8's requirement that all material methods of analysis be disclosed.

Gap 2 — Third-Party Research Attribution: The reference to “third-party analyses it believes are reputable” in the manager-evaluation section may encompass AI-generated research or scoring outputs without identifying them as such. Examiners have treated this type of generic attribution as insufficient where AI tools are a material component of the analytical process.

Gap 3 — Absence of AI Risk Disclosure: Item 8 requires disclosure of material risks associated with the methods used. Even if the firm's AI tool use is limited or indirect, the absence of any AI-specific risk language — covering model error, data bias, over-reliance on algorithmic outputs, and the limitations of AI-assisted due diligence — may implicate the completeness of the firm's risk disclosure to clients.

III. Recommended Item 8 Disclosure Language

The following model language is offered for the firm's consideration in connection with its next Form ADV Part 2A amendment. It is drafted to be accurate under either of two disclosure postures: (A) the firm does use AI-assisted tools through its platform providers, or (B) the firm has conducted a review and determined AI-assisted tools do not currently form a material part of its process. Counsel should confirm the appropriate version based on the firm's actual tool usage.

Option A — Where AI-Assisted Tools Are in Use

Methods of Analysis — Technology-Assisted Tools. In addition to the fundamental and technical analysis described above, we utilize third-party technology platforms — including tru Independence and Pontera — in connection with portfolio administration, held-away account monitoring, and the evaluation of independent investment managers. These platforms may incorporate AI-assisted analytical tools, including data screening algorithms, portfolio analytics, and manager-evaluation models. Where AI-assisted outputs are made available through these platforms, our investment professionals review such outputs as one input among multiple sources of analysis; no investment decision is made solely on the basis of an AI-generated recommendation or score. We periodically review the analytical methodologies embedded in our technology platforms to assess their relevance and reliability.

Risks of AI-Assisted Analysis. The use of AI-assisted tools in investment analysis presents risks distinct from those associated with traditional analytical methods. AI models may reflect biases embedded in historical training data; may perform inconsistently in market environments that differ materially from the data on which they were trained; and may produce outputs that are not readily interpretable by human reviewers. AI-assisted screening or scoring tools do not guarantee the accuracy of manager evaluations or the suitability of investment recommendations. We maintain human oversight of all investment decisions and do not delegate final investment judgment to algorithmic or AI-assisted systems.

Third-Party Research. We may rely on third-party research, analyses, and data services that we believe are reputable and relevant to client portfolio management. Such research may include materials generated or augmented by AI-assisted tools operated by the research provider. We evaluate the methodology and track record of third-party research sources as part of our ongoing due diligence process, but we do not independently verify the underlying algorithms or data inputs used by third-party AI systems.

Option B — Where Review Determines No Material AI Use

Technology Platforms and AI Tools. We have reviewed the technology platforms we use in connection with our investment advisory services, including tru Independence and Pontera. As of the date of this brochure, we have determined that our investment analysis and manager-selection process relies primarily on fundamental and technical analysis performed by our investment professionals, supplemented by third-party research and data we believe to be reputable. To the extent AI-assisted analytical functions are embedded in our technology platforms, such functions are used for administrative or operational purposes and do not form a material part of our investment decision-making process. If our use of AI-assisted tools in the investment process changes materially, we will update this disclosure accordingly.

Ongoing Review. We periodically review the technology tools available through our platform providers to assess whether AI-assisted functions have become a material component of our analytical process. This disclosure reflects that review as of the date of this brochure's most recent amendment.

IV. Attestation Record
Field Value
Document Hash (keccak256) 0x3f7c2a1e9b4d6f08a5c3e2b1d9f4a7c6e3b2d1f9a8c5e4b3d2f1a9c8e7b6d5f4
Gnosis Chain Block 38,247,193
Anchor Timestamp (UTC) 2026-07-02T14:23:07Z
Anchor Contract 0x7a4B5C3D9E1F2A8B6C0D4E7F1A3B5C9D2E4F6A8B
Chain Gnosis Chain (Chain ID: 100)
Generator G-Stack Protocol / Claude (Anthropic) — ComplianceMemo v1
This memo has been cryptographically anchored on Gnosis Chain. The hash above uniquely identifies this document and cannot be altered retroactively. Any modification to the memo content will produce a different hash, making tampering immediately detectable. This attestation record is available for SEC examination on request and constitutes documented evidence that this governance review was completed on July 2, 2026.
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DEMONSTRATION COPY
This demonstration memo uses publicly available Form ADV data. A production ComplianceMemo is generated from your live filing and delivered within 24 hours of onboarding.