Our firm model at Optimal as a “lean modern elite” boutique law firm involves being tech-forward in every part of our practice. Since long before the LLM revolution, we believed new tech enables elite lawyers to serve clients better, and be more productive at much lower cost than traditional “BigLaw” firms.

That tech-enabled lean approach to law practice is what allows, as an example, an Optimal ECVC Partner with over a decade of experience to bill in the $600s-700s per hour, when the exact same lawyer would bill $1400-1500+ per hour at a more traditional top-tier law firm.

All of that said, our assessment of “Legal AI” as of early 2026 (the publishing time of this post) is a combination of excitement tempered by skepticism. Already, AI touches nearly every area of how our lawyers practice: from analyzing e-mails, to organizing files, to conducting legal research, to drafting and proofing documents, even to making conversations with clients more productive. That’s the “excitement” part.

Our skepticism stems from the willingness of certain parties entering the market to exaggerate the capabilities of frontier AI, and thus exaggerate how “transformational” AI is to the elite tier of the legal industry.

The release of various forms of automation tools in the legal vertical is not new. It’s been happening for decades. From our perspective, legal AI represents an acceleration of pace but not a change in kind.

Legal AI will make elite lawyers a lot more productive, but it will not fundamentally change the economics nor the human quality control requirements of the industry. The kind of work that we handle at Optimal is extraordinarily high-stakes and context-dependent:

• The legal foundation between co-founders and their earliest key employees;

• The equity structures that will reward key employees at aggregate dollar values often reaching 8-10+ figures;

• Key power and economic terms negotiated between founders and their lead VCs or private equity investors;

• Buy-side and sell-side acquisitions of companies;

• Complex commercial contracts forming the foundation of how companies engage with their earliest customers and commercial partners.

These are not cookie-cutter standardized projects, and elite clients should not be satisfied with cookie-cutter counsel. Complex, high-stakes projects require deep levels of professional training, and trusted long-term relationships between founders, executives, and senior-level legal professionals. They also require lawyers willing to flexibly tailor the “black letter” of contracts to the extraordinarily diverse and nuanced human contexts of high-growth companies.

Yes, legal AI will enable the emergence of what we would call AI-first “legal factories,” where volume and speed are top priorities. We fully expect certain tiers of law to become much cheaper and much faster as AI is scaled in the industry.

However, as applied to the high-stakes corporate transactional work of VC-backed top-tier startups, this approach is not feasible without a significant drop in the quality and flexibility that an elite boutique law firm can offer. What this drop in quality will look like in practice is:

• Legal professionals operating off narrow scripts instead of exploring the full scope of high-ROI possibilities with executives;

• Less trained and younger lawyers misleadingly labeled as “Partners” in order to give clients a false sense of security, when they wouldn’t have passed muster at elite firms;

• Treating clients as numbers to be triaged at an institutional level, rather than building relationships with specific senior lawyers who know the founder team personally and have long-term domain knowledge of a company’s needs, values, and expectations;

• In a worst-case scenario, biasing the advice attorneys give to startups because their “firm” received funding from VCs in the market, and those VCs pressure startups to use those same legal providers.

In short, legal AI represents tremendous opportunity for enhanced productivity, but also tremendous risk for inexperienced entrepreneurs to get duped by new firms hiding limited experience, very high risks, conflicts of interest, and low quality.

Optimal expects AI to continue to be extremely impactful with how we deliver efficiency to our elite client base. But we want to be very clear: we are not building an AI-centric “legal factory” whose top priority is hyper-speed and low cost. That is not what lean, modern, and elite boutique practice means.