Post Category → Legal Tech

“No Code” v. “Open Source” Approaches to Early-Stage Startup Law

TL;DR: Fully automated startup financing tools often utilize templates designed by and for investors. They claim to save founders money by reducing legal fees, but founders often end up giving 10-20x+ (relative to fees) away in cap table value as a result of the inflexibility and lack of trusted oversight over the “code.” Using vetted and trusted templates, while still incorporating non-conflicted counsel into the negotiation and review process, provides the best of both worlds: common starting points, with flexibility and trust.

Background reading:

“No Code” is a term I’ve been hearing more often lately. It refers to new tools that allow users to “program” various processes without actually having to code them; effectively modules of tools that are interoperable and allow building semi-customized programs without needing to actually get into coding. Very useful.

While “no code” seems to certainly have a good value proposition for many user contexts, it occurred to me recently that “no code” is good short-hand for the startup financing approach that parts of the investor community, and to some extent the tech automation community, has tried to peddle onto startup ecosystems and founders. By pushing the minimization of “friction” in funding (just sign fully automated templates), with the key “carrot” being the reduction in legal fees, these players want founders to think that it’s in their interests to simply close their financings with a few clicks, instead of leveraging lawyers to actually negotiate and flexibly customize the “code” (language).

The reasons behind why tech automation companies would push this perspective are obvious: they want to make money by selling you automation tools. But the reasons why the investor community is incentivized to also back this approach require a bit more explanation. For one example, see: Why Startups Should Avoid YC’s Post-Money SAFE.  First-time founders are what you would call “one shot” players in the startup ecosystem. They are new, inexperienced, and laser-focused on the single company they are building. Investors, including prominent accelerators, are instead repeat players. They are highly experienced, resource-rich, and stand to benefit significantly if they can sway the norms/”standards” of the market in their favor.

The most prominent, high-brand investors have all kinds of microphones and mechanisms for nudging the market in ways to make themselves more money, especially because the founders usually absorbing the content have little experience and knowledge for assessing substance. One of those ways is to push templates that they (the investors) themselves have drafted, and create an impression that those templates are some kind of standard that everyone should adhere to without any customization.  Of course, they’re far too clever to come out and say overtly that these templates are designed to make investors more money, so instead they’ll latch on to more palatable messaging: these templates will save you legal fees and help you close faster.

To summarize, investors and tech automation companies push the “no code” approach to early-stage funding out of self-interest, but they use the “save you legal fees” marketing message to get founders to buy in. The problem that not enough people talk about is that by taking the “no code” approach, founders become permanently stuck with the pre-packaged and inflexible code (contract language) that these players provide. And as I’ve written extensively on this blog, the code is dirty.

I want to emphasize the word permanently here. Look up what most “no code” tools do. They help you sort contacts, build a spreadsheet, maybe build some low-stakes automation processes. Good stuff, but very different from, say, permanently signing contractual terms for millions of dollars that in the long-run can have billion-dollar economic and power implications. In startup funding, we are talking about executing on issues that are literally 1000x more consequential, and un-modifiable once signed, than all the other areas where “no code” approaches are applied.

Having a trusted advisor (lawyer) make even just a few tweaks to a template document, or flexibly choosing a better-fit template to begin with, can have million/billion-dollar implications for a company. Given the enormous stakes involved – what bank account exit money goes into, and who gets ultimate decision-making power over an enterprise – founders need to think very hard about whether getting boxed into an inflexible automation tool, in order to save at most $5-25k in fees in a seed financing, is actually the smart approach. I see inexperienced founders regularly handing over millions in cap table value to investors, and in some instances unwittingly giving those investors strong “choke point” power over their governance, all because the founders were convinced that lawyers are a boogeyman extracting money to just push paper and hand-waive with no value-add.

Notice here that I’m not advocating for a wholesale reversion to the old-school days of simply letting lawyers take full control of the negotiation process, using whatever forms and standards they want. There is enormous value in having market-respected starting points for negotiation; sets of templates known and understood by investors, and trusted by lawyers who represent companies (and not investors), that can then be flexibly modified to arrive at a final deal that makes sense for a specific context. By having your lawyers (who hopefully aren’t conflicted with the investors they’re negotiating with) draft initial deal docs from a reputable template, the lawyers on the investor side can redline against that familiar starting point, instantly reducing the amount of up-front negotiation by 80% because they aren’t working with language (code) they’ve never seen.

What I’m effectively advocating for here is an “open source” approach to high-stakes early-stage startup law. It allows for some standardization (efficiency), but also flexible customization, to ensure every deal is fair for the parties involved. And importantly, it ensures that the templatization and customization is transparent and “open,” with lawyers from both the investor and startup (company-side) community participating; instead of the one-sided “here are the standards” model that certain VCs have tried to adopt. We can deliver founders and investors substantial efficiencies in fundraising, without using “saving fees” as an excuse for burdening founders with inflexibility and “dirty” code (contracts) that simply aren’t justified.

With this in mind, I’ve published a Seed Round Template Library, with links to templates for convertible notes, pre-money SAFEs, seed equity, and full NVCA docs, along with a few educational articles. By using these starting points, founders can have the efficiencies of working from vetted and trusted language, but without the enormous costs of using fully automated templates designed to favor investors.

The Carta SAFE for Seed Rounds

Background reading:

As I’ve written in various places (see above), a significant problem that has emerged in startup ecosystems involves certain investor organizations pushing startups to adopt their preferred financing templates. Predictably those templates are often riddled with issues that favor the interests of the money. Of course these organizations are far too clever to come out and state transparently, “we want you to use this document because it makes us and other investors more money,” so they spin other narratives about saving founders time, or reducing legal fees; even though the “cost” to founders is often orders of magnitude higher than whatever they might be “saving” by mindlessly signing the templates.

This dynamic was most visible with YC’s announcement of the Post-Money SAFE, which implemented economic concepts exorbitantly favorable to seed investors (including YC of course), but was marketed as a way to (air quotes) “help” founders have more “clarity” about their cap table. YC, their long list of positive impacts on the ecosystem notwithstanding, is still an investor with lots of mouths to feed. No one should’ve been surprised that it would use its brand leverage to push a more investor-favorable document onto startups, particularly now that, with its brand having significantly matured, it no longer needs to rely as much on “founder friendliness” to attract startups.

Carta, the incumbent capitalization SaaS used by startups, recently announced that it is enabling automated SAFE financing on its platform. Interesting news, and I’m sure it’ll save teams planning on closing SAFE financings a bit of hassle. But automated SAFE closings have been available on other platforms, like Clerky, for some time, and realistically the technology behind it is hardly earth-shattering. Given that SAFEs are utilized far more in California than in the rest of the market, that’s probably where the automation will have the most impact.

What I find much more interesting, and relevant to topics I write about, is that Carta chose to tweak the YC SAFE docs and create a “Carta SAFE.” Companies can still close on YC’s Pre-Money or Post-Money SAFE templates, but they also have the option of a Pre-Money or Post-Money “Carta SAFE.” The changes themselves are fairly innocuous, but helpful and balanced. More importantly, I think it’s worth recognizing the valuable role that an organization like Carta could play in promoting various template financing structures to startups.

YC is a venture capitalist, and thus highly biased in the terms it purports to offer as “standard.” They lost tremendous credibility among the legal and startup community – although surely gained favor among VCs – with their 180 on the Post-Money SAFE. They absolutely deserve respect for their track record of picking successful startups, but lines have been crossed with respect to any facade of “founder friendliness” in their template standards.

Carta, however, is a technology company that (as far as I know) is not investing in dozens of startups every year. Carta has far less reason to favor an investor-biased document, and thus potentially has far more credibility in swaying market “standards” in a more balanced direction. This is visible in how they’ve implemented their automated seed financings and templates, relative to how YC pushed out the Post-money SAFE.

Go to YC’s website, and you can’t even find the old pre-money SAFEs with more company-favorable economics and terms. All you have is the new (profoundly investor-biased) Post-Money docs for download. This simple fact has actually caused huge confusion among inexperienced founders, who often aren’t even aware that YC dramatically changed their forms and economics, and thus (thinking they are doing themselves favors) simply download and execute the forms on YC’s site. YC could’ve very easily offered up the new Post-Money SAFEs, while leaving the old forms also available for download, with clear prompting to founders to work with advisors to decide which form they prefer. Instead, YC consciously chose to promote only the new forms, signaling a clear desire to change the market “standard” in favor of investors.

Contrast that with Carta. The Pre-Money v. Post-Money distinction is front and center in their UI, with both types of forms easily accessible to startups, and with helpful tools for comparing dilution from the different structures. This is a far more honest and transparent way for helpful templates to be offered to startup teams, without shady gimmicks or marketing spin to nudge them in favor of the money. It should be applauded.

Of course, I’m not going to wrap up this post without acknowledging that Carta still has bias. Who doesn’t? As an automation tech company, they are obviously biased toward automation and templates that enable automation. There are countless ways in which financing documents can (and often should) be negotiated and tweaked to make them a better fit for the unique context of a particular company raising money from particular investors. Sometimes convertible notes of various flavors make more sense. Other times seed equity. Other times the full suite of NVCA equity docs.

Despite growing traction among public templates, an enormous amount of investors and startups still take advantage of flexibility and customization in their deal docs, because the stakes are so high, the context and people involved so nuanced, and the terms so permanent, that it’s worth doing a bit of negotiation. If a few thousand dollars of legal fees can save you a few million in the long-run on your cap table, it doesn’t take advanced calculus to arrive at a decision.

In saying that, I’m obviously reflecting my own bias as company counsel to startups (and not investors). My job is to ensure startup teams are aware of all the options on the table for their financings and corporate governance. That of course includes bringing up when an automated template might make sense. Sometimes it does, often times it doesn’t. We can all stop pretending that serious lawyers are in any way threatened by tools like Carta or Clerky. I love these tools, because the last thing I enjoy spending my time on is shuffling cookie-cutter forms. Use the cookie-cutter when it makes sense, but make sure you really understand the tradeoffs and limitations, because a lot of very smart teams decide to put the cookie-cutter down and take a more “custom fit.”

Venture capitalists, together with Startups, are biased in favor of their own bank statements. Automation tech companies, like Carta, are biased in favor of hyper-standardization and automation. And high-end ECVC (Startup) lawyers, like me, are biased in favor of flexibility and customization. There’s no need to hide any of this. Every party has an important role to play in the ecosystem, and the interaction of all the moving parts ensures we all arrive at a reasonable equilibrium.

Moving (Too) Fast and Breaking Startup Cap Tables

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As I’ve written many times before, the “move fast and break things” ethos, which makes absolute sense in a software environment where fixing “bugs” is quite easy and low-stakes, becomes monstrously expensive and reckless when applied to areas where the cost of a mistake is orders of magnitude higher to fix (if it’s fixable at all). Silicon Valley got a very visible and expensive (to investors in terms of capital, and founders in terms of legal errors and terrible legal advice) lesson in this reality a while back with a very well-funded (but ultimately failed) legal startup heavily promoted as enabling (via over-hyped vaporware) startups to “move faster” and save significant costs. That legal startup was, perhaps unsurprisingly, controlled by money players with all kinds of reasons to profit from startups (that they invest in) getting weak legal and negotiation guidance. No one wants an in-experienced founder to move fast and mindlessly do what investors want more than… those investors.

That fundamental point is one that inexperienced founders need to keep their eye on throughout their entire fundraising and growth strategy. Notice how, for example, certain Silicon Valley groups adamantly argue that SV’s exorbitant rents and salaries are nevertheless worth spending capital on, and yet simultaneously they will howl about how essential it is that startups minimize their legal spend (a small fraction of what is spent on rent and salaries) in fundraising, and move as quickly as possible; usually by mindlessly signing some template the investors created? Why? Because they know that the one set of advisors most capable of “equalizing” the playing field between inexperienced startup teams and their far more seasoned investors is experienced, independent counsel. Aggressive (and clever) investors say they want you to adopt their preferred automation tools and templates because they care so much about saving you money, but the real chess strategy is to remove your best advisors from the table so that the money can then, without “friction,” leverage its experience and knowledge advantage.

At some obvious level, technology is an excellent tool for preventing errors, especially at scale when the amount of data and complexity simply overwhelms any kind of skilled labor-driven quality control mechanism. But there is a point at which people who sell the technology can, for obvious financial incentives, over-sell things so much that they encourage buyers to become over-dependent on it, or adopt it too early, under the delusion that it is far more powerful than it really is. This drive to over-sell and over-adopt tech for “moving really fast” is driven by the imbalance in who bears the cost of fixing “broken things.”

Ultimately the technology seller still gets paid, and puts all kinds of impenetrable CYA language in their terms of service to ensure that no one can sue them when users zealously over-rely on their products in ways clearly implied as safe by the tech’s marketing. Founders and companies are the ones who pay the (sometimes permanent) costs of a poorly negotiated deal or contract, or in the case of cap tables incorrect calculations and promises to employees or investors.

In the world of cap tables, automation and tracking tools like Carta (the dominant player, justifiably, by far) are enormously valuable, and doubtlessly worth their cost, in helping the skilled people who manage the cap tables keep numbers “clean.” In the early days of Carta’s growth (once called eShares), there was a general understanding that cap tables rarely “break” before the number of people on the table exceeds maybe 20-30 stakeholders as long as someone skilled at managing cap tables (in excel) is overseeing things. That last part about someone skilled is key.

There are in fact two broad sources of cap table errors:

  • Using Excel for too long, which creates version control problems as the number of stakeholders grows; and
  • Management of cap tables by people who are simply too inexperienced, or moving too quickly, to appreciate nuances and avoid errors.

Technology is the solution to the first one. But today it’s increasingly becoming the cause of the second one. The competitive advantage of technology is speed and efficiency at processing large amounts of formulaic data. But the advantage of highly-trained people is flexibility and ability to safely navigate nuanced contexts that simply don’t fit within the narrow parameters of an algorithm. In the extremely human, and therefore subjective and nuanced, world of forming, recruiting, and funding startups in complex labor and investor markets, pretending that software will do what it simply can’t do –  delusionally over-confident engineers notwithstanding – is a recipe for disaster. The combination of new software and skilled expertise, however, is where the magic happens.

The Carta folks have been at this game long enough to have seen how often over-dependance on automation software, and under-utilization of highly trained and experienced people in managing that software, can magnify cap table problems, because it creates a false sense of security in founders that leads them to continue flying solo for far too long. Sell your cap table software as some kind of auto-pilot, when the actual engineering behind it doesn’t at all replace all the things skilled experts do and know to prevent errors, and you can easily expect ugly crashes.

That’s why Carta very quickly stopped promoting itself as a DIY “manage your cap table by yourself and stop wasting money on experts” tool and evolved to highly integrate outside cap table management expertise, like emerging companies/vc law firms and CFOs; who spend all day dealing with cap table math. They realized that the value proposition of their tool was sufficiently high that they didn’t need to over-sell it as some reckless “you can manage cap tables all by yourself!” nonsense to inexperienced teams who’ve never touched a cap table before. The teams that use Carta effectively and efficiently see it as a tool to be leveraged by and with law firms, because startup teams are rarely connected to anyone who is as experienced and trustworthy (conflicts of interest matter) in managing complex cap table math better than their startup/vc law firm.

But as is often the case, the cap table management software market has its own “race to the bottom” dynamics – but a better name may be the “race to free and DIY.” If I’m a company like Carta, and I know that truthfully very few companies need my tool before maybe a seed or Series A round (excel is perfectly fine, flexible, and simple until then), I’m still extremely worried that someone will use the time period before seed/Series A to get a foothold in the market and then squeeze me out as their users grow. That someone is almost always a “move fast and break things” bottom-feeder that will, once again, over-sell founders on the idea that their magical lower-cost DIY software is so powerful that founders should adopt it from day 1 to save so much money by no longer paying for expertise they don’t need.

Thus Carta has to create a free slimmed down version, and they did. But they’ve stuck to their guns that cap tables are extremely high-stakes, and even the best software is still extremely prone to high-cost errors if utilized solely by inexperienced founders. That’s why Carta Launch has heavy ties to a network of startup-specialized law firms. It’s free as in beer, but honest people know that it still needs to be used responsibly by people who fully understand the specific context in which it’s being used, and how to apply it to that context.

But the bottom-feeders of cap table management are of course showing up, with funding from the same people who were previously happy to impose costs (errors, cleanup) on inexperienced teams as long as their software gets adopted and their influence over the ecosystem therefore grows. The playbook is tired and predictable.

Why are you using that other (widely adopted and respected) technology that still relies (horror of horrors) on skilled humans? It’s 2020, you need :: something something automation, machine learning, AI, etc. etc. :: to stop wasting money and move even faster. Our new lower-cost, whiz-bang-pow software lets you save even more time and manage your cap table on your own, like the bad ass genius that you are.

We know where this is going. Many of us already have our popcorn ready. While before I might run into startups who handled only a formation on their own, and show up with a fairly basic and hard-to-screw-up cap table, I’m increasingly seeing startups who arrive with seed rounds closed on a fully DIY basis, and totally screwed up cap tables involving investors and real money. They also often have given up more dilution than they should’ve, because no independent, skilled expertise was used to help them choose and negotiate what funding structure to use. Clean-up is always 10x of what it costs to have simply done it right, with a thoughtfully chosen (responsible) mix of technology and skilled people, on Day 1.

Technology is wonderful. It makes our lives as startup/vc lawyers so much better, by allowing us to focus on more interesting things than tracking numbers or inputting data. The stale narrative that all VC lawyers are anti-technology really gets old. We were one of the first firms to adopt and promote Carta, along with numerous other legal tech tools. Not a single serious law firm views helping their clients manage cap tables as a significant money driver. But that’s like saying no serious medical practice views X or Y low-$ medical service as a significant money driver. Something can be a small part of a professional’s expertise, and yet still way too contextual, nuanced, and high-stakes to leave to a piece of software pretending to be an auto-pilot.

When the cost of fixing something is low, move as fast as you want and break whatever necessary. But that’s not contracts, and it’s not cap tables. In those areas, technology is a tool to be utilized by still-experienced people who regularly integrate new technology into their workflows, while maintaining skilled oversight over it. Be mindful of software companies, and the clever investors behind them, who are more than happy to encourage you to break your entire company and cap table as long as you utilize their half-baked faux-DIY tool. Their profit is your – often much larger than whatever money you thought you were saving – loss.