Private Fund Insights Blog

Artificial intelligence, in the hands of experienced fund counsel, is changing the economics of private fund formation, and the principal beneficiary is the emerging sponsor.  Launching a private fund requires entity formation, a limited partnership agreement, a private placement memorandum where appropriate, subscription documents, a management company and general partner structure, and regulatory filings.  Until recently, a new manager faced an unwelcome choice: pay premium rates for institutional-quality documents, or accept less capable counsel and absorb the rework that frequently follows.  That calculus is shifting.

The Emerging Sponsor’s Dilemma

A first-time sponsor incurs meaningful legal and organizational costs during the period between launching a fund and holding a first closing, the interval when no fund capital is yet available to cover those costs.  The sponsor must produce documents that sophisticated investors will scrutinize, yet the sponsor often lacks the budget to fund that workstream at the outset.  Historically, some law firms were willing to defer fees to the first closing, but not all, and the quality of a fund’s formation documents often correlated directly with the fees the sponsor could afford.  The emerging manager who economized on counsel frequently paid for that decision later, in the form of investor friction, renegotiated terms, or documents that had to be substantially rebuilt at Fund II or Fund III.

How AI Changes the Economics

Fund counsel with a substantial formation practice can now use AI tools to generate first drafts of a full document suite, including the general partner entity, the management company, and the fund vehicle itself, drawing from a well-maintained form library.  The result is a reduction in the time required for standard formations, which supports more predictable and often fixed pricing.  For the emerging sponsor, the practical effect is significant: faster turnaround, fewer hours billed for routine drafting, and cost certainty from the outset.  Because a well-developed form library translates across asset classes with predictable adjustments, the same disciplined process serves venture capital, growth equity, lower-middle-market buyout, and real estate sponsors alike.

On June 4, 2026, Kirkland & Ellis and Palantir Technologies announced the launch of a proprietary, AI-powered fund formation platform, built on Palantir’s Artificial Intelligence Platform and offered as the product of a multiyear partnership expansion designed to transform private equity fundraising across its full lifecycle.  Kirkland has described the platform as a “fund formation engine” that scales the firm’s institutional knowledge and judgment, streamlines complex legal workflows, and supports both general partners and limited partners, with the technology made available across the more than 1,000 lawyers in its Investment Funds Group.  That announcement is a clear signal that AI-assisted fund formation is becoming a standard of practice, not a novelty.

Traditional formation approaches relied on sizable teams to manage document drafting, investor comments, subscription documents, side-letter compendia, and regulatory compliance.  AI-enabled tools are compressing those layers, allowing practices to staff formations more leanly.  The same capabilities are now commercially available to boutiques as well, and that accessibility is what makes the present moment notable.  A proprietary platform of the type that Kirkland and Palantir have announced reflects a scale few firms can match, but the core capability, generating first drafts and organizing investor comments and side letters, no longer depends on the headcount of a global firm.  The technology rewards expertise more than size, and in capable hands, it places a smaller practice on a more even footing with the largest firms than at any time in recent memory.

An Analogy: The Kitchen and the Chef

A well-equipped commercial kitchen is now within reach of restaurants of every size, not just flagship establishments.  The same professional-grade ovens, precision cooking equipment, and ingredient suppliers are commercially available to both an ambitious neighborhood bistro and a celebrated destination restaurant.  But acquiring the equipment does not make the kitchens equal.  What distinguishes the result is the chef’s palate, training, and understanding of how ingredients behave in combination and under different conditions.  Artificial intelligence is affecting fund formation in much the same way.  Commercially available tools now give practices of every size access to sophisticated drafting and management capabilities. 

Experience Behind the Technology

An AI model can generate a serviceable first draft, but it cannot determine which terms investors will accept, which provisions invite pushback, or where a sponsor’s structural position is exposed.  That judgment comes from experience, and the depth of that experience varies considerably among fund counsel.

Where AI tools are deployed against a form library built from a history of representing both investors and sponsors, the speed gain does not come at the expense of embedded market intelligence.  That knowledge informs which management fee structures institutional investors view as market, which side-letter requests are routine or require real negotiation, how key-person and removal provisions are likely to be challenged, and where a sponsor’s conflicts-of-interest transaction procedures may face resistance.  For an emerging sponsor, relying solely on AI tools or on counsel without a meaningful track record carries a similar risk: documents that do not accurately reflect the economic and governance arrangements the parties believe they have reached.

Equally important is experience in structuring the sponsor’s own internal arrangements.  The general partner and management company are not mere formalities; they define the economic relationship among the principals, allocate decision-making authority, and establish the framework for future growth.  A first fund often involves co-founders with different capital contributions, time commitments, or exit expectations, and the operating agreements must address those variables in a way that avoids disputes as the platform matures.  Counsel who has advised sponsors through multiple fund cycles understands how compensation structures, removal and succession provisions, and governance rights interact and change over time, and can draft arrangements that accommodate a second or third fund without requiring wholesale renegotiation.  That kind of forward-looking structuring is not captured in a standard-form agreement; it requires judgment about how sponsor teams change and where early-stage compromises tend to create disputes later.

The legal profession’s adoption of AI is not without constraint, and responsible use requires counsel to proceed deliberately.  In July 2024, the American Bar Association Standing Committee on Ethics and Professional Responsibility issued Formal Opinion 512, its first formal guidance on the use of generative AI in legal practice, which applies the existing ABA Model Rules of Professional Conduct to these tools.  Competence is the starting point.  Comment 8 to Model Rule 1.1 provides that a lawyer should keep abreast of the benefits and risks associated with relevant technology, and Formal Opinion 512 construes that duty to require a reasonable understanding of the capabilities and limitations of any AI tool the lawyer uses.  Because generative AI can produce inaccurate or fabricated output, counsel must critically evaluate AI-generated work product and independently verify it rather than transmit it without review.

Confidentiality is the second principal constraint.  Model Rule 1.6 requires a lawyer to make reasonable efforts to prevent the inadvertent or unauthorized disclosure of, or unauthorized access to, information relating to the representation of a client.  Formal Opinion 512 applies that duty to AI and advises that inputting confidential client information into a tool that trains on the data it receives may require the client’s informed consent, depending on the circumstances; boilerplate language in an engagement letter does not suffice.  Tool selection matters in meeting this standard.  Enterprise-grade tools with contractual confidentiality protections, under which the provider is typically prohibited from using client data to train its models, present a materially different risk profile than consumer-facing applications, although selecting such a tool does not by itself discharge the duty, and counsel must still understand how a given tool processes and stores client data.  Most bar associations that have addressed the subject have reached a consistent conclusion: AI is a permissible instrument of legal practice, provided that a qualified attorney reviews, takes responsibility for, and exercises independent judgment over the work product it generates.

Selecting Formation Counsel

For a fund sponsor, these professional obligations translate into a practical assurance: AI tools may accelerate the delivery of formation documents, but the attorney remains accountable for their accuracy, completeness, and fitness for purpose.  The sponsor’s choice of counsel for a first or second fund is consequential in ways that extend beyond the initial formation.  The documents produced at Fund I establish the template from which Fund II and Fund III will be drafted, and the terms accepted at the outset reflect the market knowledge of the counsel who negotiated them.

Whether the firm’s form library reflects recent market practice is a threshold consideration; a form library that has not been maintained against changing investor expectations and regulatory developments will produce documents that lag the market, regardless of how efficiently they are generated.  The pricing structure matters as well; AI-enabled efficiency should translate into cost predictability for the sponsor, not merely faster billing at standard rates.  Finally, senior attention cannot be assumed, so the sponsor should ask who will perform the work, how the firm staffs formation matters, and how it governs its use of AI tools, including the protection of client confidentiality.

To discuss fund formation considerations, please contact one of the attorneys in our Private Funds & Investments group.