AI & LegalTech: Transformative Beyond a Reasonable Doubt

TLDR: In modern-day law, the client is Darwin.

Legal is one of the last under-digitized verticals that isn’t just behind, but structurally overdue for reinvention. Most law firms run profitably and efficiently by their own metrics, but those metrics weren’t designed for AI-native operations or cross-functional efficiency.

Legal has now entered an era of survival of the fittest. Corporate clients, armed with AI, pent up demand for transformation and new standards, are evolving faster than the firms that serve them. And they expect their legal providers to join the ride.

High-impact change is coming for everyone, but it won’t be felt equally.

For large law firms, AI and LegalTech challenge their traditional billing models, legacy tech stacks and hierarchical talent structures. Clients now demand faster, cheaper and more transparent services. Firms that don’t adapt risk losing work to AI tools or tech-savvy competitors. Smaller firms face challenges in adopting AI but have fewer legacy burdens. With regulatory changes and PE-backed platforms emerging, they can access shared AI infrastructure to compete at scale. Embracing LegalTech can help them punch above their weight. In either case, those who adapt will thrive and those who don’t will be left behind.

Clients are forcing the legal sector into structural, economic and technological change all at once, and the next wave of LegalTech will be defined by automation, embedded intelligence and AI-native infrastructure. Here’s our take on where the industry is headed next.

Setting the Stage: The End of Legal as Usual

For decades, the legal industry has stood apart from the rest of the corporate world, fiercely traditional, structurally resistant to innovation and slow to adopt even the most mainstream technologies. Legal has long been called the “final frontier” of digital transformation, a label it earned and kept even as similarly resistant industries like finance and healthcare reinvented themselves with modern technologies. As the saying goes, “If Rip Van Winkle woke up today, the only place he would recognize is a law firm.”

The reasons for this lag are well-documented and arguably even rational: asymmetric downside risk of errors in legal work, a billable-hour model that penalizes efficiency and a culture that has historically seen tech more as a distraction than a solution. In our 2017 Catalyst research publication, we wrote: “As the rest of the business world has ‘sped up,’ law firms have largely moved at the same pace. Law firms are not meeting their clients’ demands for faster cycles and data analytics-driven analyses, largely due to their static business model and slow adoption of technology.”

For over 5 years since we published the report, the dynamic remained unchanged. Then, in early 2023, everything changed (special thanks to OpenAI). We are now at an unprecedented inflection point where the cost of inaction exceeds the risk of change.

Law firms and corporate legal departments are facing external pressure that can no longer be ignored: clients are demanding better results, faster timelines and transparent, flexible pricing. Thanks to the superpowers of AI, legal’s core asset (unstructured text) has finally become computable at scale and is unlocking new categories of legal tooling that were previously too costly or complex to deliver. Thanks to both the speed of innovation and possibilities of AI, what was once a slow-moving sector is now racing to adapt.

However, let it be clear: in most cases, this shift is being imposed, not initiated. In today’s legal market, the client holds the power. While OpenAI lit the fuse, clients and their procurement functions are the ones holding the match.

In-house legal teams, often more metrics and cost focused than their law firm counterparts, are now holding the power to shape how work is scoped, priced and delivered. Empowered by new procurement standards and emboldened by AI’s promise, Corporate clients are beginning to enforce outside counsel guidelines (OCGs) that include (1) specific technology requirements and (2) more flexible & transparent pricing structures. In many cases, firms won’t be invited to bid on new opportunities unless they meet specific AI or process criteria. That means tech isn’t just a differentiator, it’s a revenue gate.

Increasingly, they are also bypassing firms altogether, using third-party tools to automate routine legal tasks internally, from contract review and compliance tracking to document generation and redlining. These tools are quietly disintermediating law firms by absorbing the more mundane, high-volume tasks that once justified associate hours. The question is no longer “Can you get this job done?”, it is now “Using AI, how can you get it done faster, cheaper and better?”

Survival of the fittest has arrived in legal. In a world long insulated by tradition, corporate survival instincts are taking over. Fueled by revolutionary tech and relentless new competition, we’re witnessing a rare pull-market dynamic where legal tech investments are shifting from discretionary to compliance budgets to meet OGC requirements. Decades of institutional inertia are giving way, not because law firms chose to adapt, but because their clients can’t afford not to. The bottom line: firms that don’t adapt to client expectations risk becoming obsolete, and many still have a long way to go.

This change is reshaping both the “business of law” (how firms are run) and the “practice of law” (how legal work gets done). This client-driven shift won’t just rewire workflows, it will redraw the competitive map. And while we believe the long arc of transformation is just beginning, there are already clear signals of where things are headed.

What will all of this look like in practice? Below is our set of predictions for how technology adoption will reshape the legal sector, not only from a technological perspective, but both structurally and economically as well. These are the dynamics we believe will define LegalTech 2.0, and where we see room for disruptive new entrants to take the lead.

Catalyst’s Top Predictions for the Future of LegalTech

1. The Rise of Legal Back-Office Automation

Trend: Legal teams are overwhelmed by low-value and routine administrative tasks, from matter intake to task tracking to entity record management. As cost pressures and administrative burdens rise, there’s growing demand for tools that automate non-billable operational work.

Prediction: We expect to see accelerated adoption of AI-powered operations platforms purpose-built to streamline the legal back office, automating routine, rules-based tasks (e.g., calendaring, status tracking, recurring filings, document upkeep and internal reporting). These tools won’t replace lawyers, they’ll eliminate the administrative friction that slows them down. By offloading repetitive workflows and centralizing visibility, legal teams will unlock more time for strategic advisory work while reducing the risk of missed deadlines and operational gaps.

Example Companies We are Excited About: SingleFile, Streamline AI, InfoDash

2. Billing and ERP Platforms Will Become AI-Enhanced Command Centers

Trend: Billing and financial systems are the most significant pain point in law firm operations by far. However, law firms are inherently hesitant to rip and replace legacy infrastructure; platforms like Aderant and Thomson Reuters Elite have been deeply embedded into workflows for decades. Many firms are now juggling 10-50+ disconnected systems across billing, intake, conflicts and finance, and they’re increasingly desperate to simplify the sprawl and work from a single homebase. AI will finally give law firm CIOs / CFOs leverage over one of their biggest spend categories.

Prediction: A new category of AI-native platforms, the next generation of Intapp, will do more than just integrate. These systems will consolidate, natively connecting intake, billing, timekeeping, conflicts and financial operations into one intelligent platform. Firms want systems that are not just AI-compatible, but agent driven: automatically monitoring calendars, capturing keystrokes, reviewing messages and logging calls to identify billable work. Time entries and invoices will be auto-generated in the background, with minimal lawyer input. Unlike today’s middleware solutions that sit on top of core Practice Management software platforms, this new breed will absorb core functions natively, reducing data siloed, multi-vendor complexity into a single pane of glass. Given the operational dependency on these platforms, displacement will be gradual, but the path is open. Mid-sized firms with newer tech stacks and less technical debt will lead adoption, while larger firms begin laying the groundwork for long-term migration.

Example Companies We are Excited About: Entegrata, Oddr

3. Validation Infrastructure Will Be a Category-Defining Opportunity

Trend: Stanford University research and others have shown that AI can now perform at the level of a 5th-year associate. While efficacy and demand are ever-present, the question for lawyers is no longer “can AI do the work?” but “how do we supervise and confidently stand by its output?”

Prediction: According to top CIOs, attorneys are willing to explore AI, but their top concern is compliance, ethical and reputational risk. The ability to trust, trace and validate AI-generated content is the key gating factor to broader adoption. Startups that build a new layer of “AI QA” infrastructure for legal (i.e., tools that validate, verify and document AI output in high-risk environments) will power the compliance substrate for the entire AI-enabled LegalTech stack.

Example Companies We are Excited About: Credo.ai, Holistic AI 

4. Embedded Legal Microservices Will Proliferate

Trend: The most forward-leaning companies are actively trying to get legal out of the way to drive efficiency and business continuity. As companies seek to move faster and reduce friction, they’re demanding legal functionality that shows up at the point of work, whether in contract negotiation, employee onboarding or customer transactions. As a result, AI will help remove the longstanding barriers between the GC / Legal and other departments (Sales, Procurement, HR, etc.), ultimately shifting legal from a business blocker to a business enabler.

Prediction: Legal services will become increasingly ambient, no longer confined to legal departments or outside counsel, but seamlessly embedded into the day-to-day systems where business decisions are made. Lightweight APIs like “Is this clause enforceable in New York?” or “Does this contract meet GDPR requirements?” will be embedded directly into vertical SaaS tools, from procurement platforms to HRIS and fintech stacks. Basic legal work will shift from a standalone department to a trust layer, invisible but ever-present, much like payments via Stripe or communications via Twilio. The winners will be developer-friendly platforms that treat legal logic like code, embeddable, contextual and composable.

Example Companies We are Excited About: LinkSquares (Next-Gen CLM)

5. The Emergence of PE-Backed, Vertically Integrated, Tech-Enabled Law Firms Will Reshape the Competitive Landscape

Trend: For the first time ever, regulatory reform (expanding Alternative Business Structure frameworks) is opening the door to non-lawyer ownership of law firms, creating new opportunities for private equity investors to deploy dry powder. With Arizona and Utah leading the charge, we expect more states to evaluate similar reforms and this shift to continue nationwide. Regulatory reform creates a massive opportunity for scaled tech-enabled firms backed by institutional capital to challenge the traditional partnership model.

Prediction: The current scope of the Alternative Legal Service Provider “ALSP” model is not enough. However, most lawyers didn’t pass the Bar to be in the technology infrastructure business. In Legal 2.0, we expect to see a surge of private investment dollars in the legal services ecosystem, building a one-stop AI backbone for next-gen law firms. These next-gen law firms will act as “platform partners,” enabling smaller specialty practices to plug into a shared AI infrastructure, centralized back-office operations and access growth capital for business development, marketing and talent acquisition. The law firm of the future may not look like Skadden, it may look like the next ServiceTitan, operating a federated, tech-driven legal services network at scale. Watch out big law, “small” law is now equipped to compete and coming your way…

Example Companies We are Excited About: TBD!

Final Thought: The “Bar” Has Moved

AI is no longer a nice-to-have for lawyers, it has become the cost of doing business. Clients don’t want to wait, they want speed and value today. The firms and vendors that adapt to this new reality will be the ones that define the next generation of legal services. Similar to the takeaway in our latest thought piece related to the future role of VC associates, the traditional talent pyramid is flattening into a diamond: fewer juniors doing repetitive work, more leverage from technology and a premium on judgment from senior partners. Law firms are undergoing the same transformation. As AI begins to absorb the tasks that once trained young lawyers, the profession faces a new question: who will train the next generation of senior partners? The new era of AI and LegalTech will be transformed beyond a reasonable doubt.

What are your predictions for the future of Legal? Email killian@catalyst.com! We are excited to meet and back the next generation of LegalTech entrepreneurs!

Footnotes
Catalyst is a current investor in LinkSquares.