With roughly $2.2 billion flowing into legal tech in 2024—much of it for AI—the market is sizzling. Bryter CEO Michael Grupp shares a playbook for shipping fast without sacrificing staying power.

A laptop displaying workflow diagrams, accompanied by legal documents and a gavel, reflecting the intersection of technology and the legal field.

By August 2025, legal technology is having a generative‑AI moment. Investors are back to writing large checks, law firm partners are sitting through product demos with a sense of urgency, and even the most traditional in‑house departments now have AI pilots underway. According to Crunchbase data, legal‑related startups raised about $2.2 billion in 2024, with the lion’s share going to companies that incorporate AI. That surge has spilled into 2025 as well, with standout financings and an unmistakable sense that AI is moving from experiment to infrastructure.

But heat creates its own hazards: unrelenting competitive pressure, inflated expectations, and a ticking clock before attention—and capital—shift to the next shiny thing. Few founders know that dynamic better than Michael Grupp, co‑founder and CEO of the legal automation platform Bryter. In a guest essay for Crunchbase News this week, he argues that the winners in a hype cycle are those who pair speed with perspective: ship quickly, ignore the noise, and build for the moment after the buzz fades. Here is what that playbook looks like in the legal market right now.

A hot market, and a narrower funnel

The money is real, and it is increasingly concentrated. Flagship rounds—like Clio’s $900 million raise in 2024 and the rapid ascent of generative‑AI platforms such as Harvey—signal that investors now see legal AI as durable infrastructure rather than a novelty. Yet most of the cash is clustering around a handful of category leaders, and around the applications that marry generative models to workflows in contract review, repapering, discovery, compliance and matter intake. Startups outside those lanes must be surgical about where they compete.

Meanwhile, buyer behavior has changed. Grupp notes that sales cycles that once took eight months or longer can now compress to a single demo—because the debate has shifted from “whether” to “how.” For founders, that is both enabling and dangerous. It allows you to win quickly if you can be the first credible option in a new budget line; it also makes it easier for a well‑funded rival to fast‑follow and dislodge you just as fast. In other words: distribution and product cadence matter more than ever.

Grupp’s playbook for speed—with staying power

• Say “yes” more than you explain. In a hype cycle, customer curiosity is a wasting asset. If a global insurer asks for a pilot in an odd corner of their workflow, take it. You can clean up the edges later. Momentum beats elegance when the window is open.

• Design for imperfect customers. Real legal environments are messy: legacy DMS archives, idiosyncratic clause libraries, redlines in PDFs, and strict audit trails. Products that tolerate ambiguity—accepting noisy data and conforming to policy constraints—outperform demos polished for sunshine‑only scenarios.

• Make one‑year bets, not five‑year roadmaps. Grupp’s point is not to abandon strategy but to recognize that model capabilities, cost curves and buyer expectations are in flux. Push the features that unlock paid expansion in the next four quarters—then be ready to revise when the ground shifts.

• Keep runway paranoia. Shipping fast is not an excuse to miss the cash math. Structure pricing to capture usage‑based value (tokens in, documents out, matters processed), but watch gross margins and inference costs with the fanaticism of a fintech CFO. The goal is a business that can breathe on its own when capital tightens again.

• Build for the post‑hype world. The cycle will cool. The companies that endure are building moats that survive it: entanglement with core legal workflows; defensible data rights; auditability and controls that satisfy regulators and risk committees; and a platform that stitches AI into the last mile of outcomes—approvals granted, filings sent, counterparties notified—rather than stopping at a draft in a browser tab.

• Find outside ballast. Boards and advisers who have seen cycles crest and crash are an antidote to tunnel vision. When the news headlines and competitor launches blur into static, they help teams focus on the few moves that matter.

Execution tactics that work right now

Ship workflow, not just chat. Buyers don’t want “another chatbot”; they want repeatable outcomes that traverse data sources, decision gates and notifications. If your product returns text, convert that text into actions—populate fields, update repositories, trigger approvals. Bryter’s own roadmap illustrates the direction of travel: stitching model outputs into orchestrated workflows and “hybrid agents” that marry LLMs to deterministic steps so the end state is business logic executed, not merely suggestions that someone must re‑type elsewhere.

Turn pilots into production in weeks. The old proof‑of‑concept purgatory—three months of scoping with a champion who then rotates off the matter—will kill a startup in 2025. Insist on a pilot that measures cycle‑time reduction, error rates and user adoption in the first 30–45 days, and price the conversion path up front. If it works, click‑through to an annual subscription should be automatic, not a renegotiation.

Own the model‑ops conversation. General counsel and law firm CIOs are past the “what is AI?” stage and deep into “how do we run this safely?” Be the partner who brings answers on privacy boundaries, redaction, PII handling, prompt injection mitigations, evaluation harnesses, and jurisdictional data controls. Promise less “magic,” more SLAs.

Differentiate with data leverage. Legal departments sit on extraordinary, under‑structured knowledge. Winning products show not just that they can consume that haystack, but that every interaction makes the system smarter for the next matter: clause rankings tuned by in‑house positions, playbooks that harden into rules, and retrieval‑augmented generation that is auditable and reproducible.

Measure what the CFO cares about. “Time saved” is table stakes; count matters opened per lawyer, outside‑counsel spend avoided, days sales outstanding pulled forward by faster contracting, and risk events reduced. If your dashboard connects to the finance system, your budget survives the next cost review.

What could go wrong

The risks are not subtle. A glut of sound‑alike products will make “AI washing” a real pricing drag. Model regressions and hallucinations can corrode trust if left unchecked. Margins can evaporate if you don’t keep a tight grip on context window sizes, retrieval architectures and caching. And the compliance bar is rising: retention policies, audit logs, export controls and sector‑specific rules are now purchase‑blocking requirements, not optional extras for later.

There is also the human factor. Associates feel the ground moving under their feet. The firms that make AI augmentation a skill—rather than a threat—will keep talent longer and deploy it more profitably. In‑house teams that retrain lawyers as product owners and data stewards will get more out of the same headcount.

The bottom line

Every hype cycle produces durable companies. In legal, the ones that last will be the builders who race wisely: shipping faster than the market without mortgaging resilience; speaking to concrete operational outcomes; and treating compliance and controls as features, not chores. Grupp’s counsel is not to slow down, but to point your speed at the right wall and keep your bearings as the water churns.

The window is open. Use it to build something that still matters when the buzz moves on.

Leave a comment

Trending