Welcome to February! This month, we're cutting through the noise around AI disruption to ask what really matters. It’s not whether AI can do the work, but whether it can do it reliably, at scale, with the governance enterprises actually need.
Our experts examine why the legal industry's panic over AI plugins misses the point. Most people believe the real vulnerability is automation, but it’s really unmanaged complexity. We explore why ABBYY stays focused on AI proof over AI scale, especially as the $2.5 trillion bubble keeps inflating. And when 90% of people can't tell AI-generated video from reality, we look at what this means for trust and verification.
Shipping broken AI makes headlines, but it's the "boring" disciplines, such as testing, governance, and oversight, that make technology trustworthy in the enterprise.
Why the Real Threat to Lawyers Isn’t AI (It’s unmanaged complexity and monetized inefficiency)
Anthropic’s launch of a legal plugin for Claude Cowork triggered a familiar market reaction: panic. Shares in legal, publishing, and information services firms slid as investors imagined AI wiping out junior lawyers and collapsing the billable hours. But the sell-off says less about the plugin itself and more about a long-running misunderstanding of what automation actually does—and who benefits from it.
Legal work feels uniquely disrupted because it resisted industrialization longer than most knowledge professions, monetizing inefficiency through manual document reviews, repetitive compliance checks, and junior-heavy workflows priced by time rather than outcome.
AI didn’t invent that vulnerability; it exposed it.
Making legal work scalable requires more than language models alone—it depends on documents being structured, understood, and trusted. When that foundation is in place, automation doesn’t sideline lawyers; it frees human expertise to focus on judgment, strategy, and outcomes rather than paperwork.
In a Market Obsessed with AI Scale, ABBYY is Obsessed with AI Proof
AI investment keeps accelerating, and for good reason. The technology is new, powerful, and genuinely exciting. But the conversation is getting noisier—more models, more agents, more demos, more claims. What’s missing is restraint. Too many initiatives are driven by valuation narratives and stage demos rather than the realities of production systems. That approach looks impressive. It rarely survives contact with compliance, audits, or real operational pressure.
Customers are torn. They’re drawn to the novelty of new AI capabilities, but they still need outcomes they can trust, measure, and explain.
ABBYY isn’t in the business of throwing an LLM at every task simply because the technology makes it possible. We’ve lived through earlier hype cycles where promising innovations were overextended and under-governed. Blanket LLM usage, justified or not from a technical perspective, is a big reason the current bubble keeps inflating. ABBYY builds for the moment when curiosity gives way to accountability.
Less than 10% of people can tell the difference. Try it yourself with the Turing Reel.
Research from Runway shows that 90%+ of people couldn't tell the difference between real footage and image-to-video clips generated by its Gen-4.5 model, with the company calling the capabilities a societal “tipping point” for AI media.
When people cannot reliably distinguish synthetic from real footage and when generated content in certain categories is more convincing than reality, detection is an inadequate strategy for trust and verification.
In 2025, AI passed medical exams, wrote poetry, and then promptly ordered 18,000 cups of water, handed out medical advice from the 1920s, wiped live databases, and trusted obviously fake photos.
The pattern: big promises up front, guardrails added later (if at all). Teams skipped stress testing, domain checks, and human-in-the-loop reviews in favor of “we’ll fix it in the next release.”
But in the real world, “later” means hospitals, regulators, angry customers, and headlines you really don’t want. So, let’s not forget the “boring”, proven disciplines that make technology reliable, safe, and accountable in the first place.
770,000 AI agents joined Moltbook, the AI-only social network, within just 9 days of its launch in January 2026. That’s a growth rate of over 85,000 agents per day! But what's behind it?
Sagility Cuts $6M in Annual Late Payment Costs with ABBYY Process AI
Sagility, a global healthcare solution and services provider, helped a U.S. health insurance client tackle one of its biggest pain points: late payment interest penalties. By implementing ABBYY’s process intelligence, Sagility uncovered hidden bottlenecks in claims workflows to deliver $6M in savings in the first year.
Research shows 9 in 10 organizations experience up to 40% onboarding abandonment rates, and some have no visibility into where customers are dropping off. See how Document AI tackles this challenge with a smoother experience for both customers and employees.
We’re proud to celebrate 33 outstanding experts from around the world, setting new standards in purpose-built AI. ABBYY MVPs are more than technical leaders—they drive community impact by mentoring, sharing knowledge, and collaborating with our product teams.
Register your interest for ABBYY Ascend 2026, a full-day in-person event, exploring how purpose-built Document AI turns business data into trusted insights, powers intelligent automation, boosts accuracy, and drives real AI-led results for leaders, developers, and business owners.
Webinar | Beyond the Hype: Achieving Real ROI with AI in Claims Automation
February 19
Explore how purpose-built AI is transforming payer operations by addressing these challenges head-on. Designed specifically for healthcare workflows, intelligent document processing (IDP) accurately ingests and validates data from complex forms such as CMS-1500 and UB-04, seamlessly mapping information to EDI 837 standards, with auditability and compliance built in. Gain insight into the competitive urgency—why many payers are already achieving operational advantages, and why others are planning automation investments within the next six months.
ABBYY will be part of the ET BFSI CIO Digital Conclave this February, alongside 200+ CIOs, CTOs, CISOs, and digital leaders from the BFSI ecosystem. We’ll spotlight how ABBYY’s solutions are helping financial institutions drive operational excellence, meet regulatory demands, and deliver seamless customer experiences across India and worldwide.
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