Smarsh, the global frontrunner in digital communications data and intelligence, has once again been recognized as a Leader in Gartner’s 2025 Magic Quadrant for Digital Communications Governance and Archiving (DCGA). This marks the company’s second consecutive recognition, underscoring its expanding influence in the governance and compliance technology space.

The company’s AI-native platform, designed for modern compliance environments, is now integral to how global financial institutions and government agencies transform oversight into strategic foresight.

Kim Crawford Goodman, CEO of Smarsh, stated, “We’re proud to be recognized once again by Gartner as a Leader. Our focus is turning unstructured data into strategic intelligence that drives resilience and insight.”

Why It Matters: Governing the GenAI Frontier

As generative AI tools like Microsoft Copilot and ChatGPT redefine enterprise productivity, they also introduce a new wave of regulatory and compliance risks. Organizations operating in regulated sectors must balance innovation with data governance.

Smarsh’s platform enhancements directly tackle these challenges by offering AI-driven capture, archiving, and supervision tools. This ensures that regulated organizations can adopt GenAI safely—without compromising policy compliance or data security.

Key Innovations Powering Smarsh’s Momentum

Over the past year, Smarsh has accelerated its AI-native platform strategy, introducing several features that enhance both governance and operational agility:

• GenAI Governance Integrations:
  New integrations with Microsoft Copilot and OpenAI ChatGPT extend compliance coverage across next-generation collaboration environments.

• AI-Enhanced Compliance Tools:
  The new Intelligent Agent Filter helps reduce reviewer workloads by surfacing high-priority risks, while an AI Assistant for supervision offers contextual insights for faster investigations.

• Next-Gen Voice Analytics:
  Following the acquisition of CallCabinet, Smarsh has strengthened its voice capture and analytics suite with transcription, sentiment analysis, and speaker identification.

• Open Platform Flexibility:
  The Smarsh platform unifies all communication data sources into a single, 360-degree view of risk. Features like Bring Your Own Model (BYOM) and Bring Your Own Signal (BYOS) empower clients to tailor AI-driven risk models.

• Enterprise Scalability:
  A tiered storage model helps customers optimize data archiving costs, while expanded APIs integrate with e-discovery leaders like FTI, Relativity, and Exterro.

Turning Compliance Data into Strategic Intelligence

What sets Smarsh apart is its vision of using compliance data as a strategic asset. By leveraging predictive intelligence, institutions can not only meet oversight requirements but also extract insights that inform decisions and shape future business strategies.

The company’s efforts have earned multiple industry accolades, including Best e-Comms Surveillance Solution at the RegTech Insight USA Awards and inclusion in FinTech Global’s AIFINTECH100 list for top AI technologies in financial services.

Industry Context and Competitive Edge

The DCGA space is evolving rapidly as enterprises navigate new digital surfaces created by AI and remote collaboration. Smarsh’s consistent placement in Gartner’s Leader quadrant signals stability, scalability, and innovation, placing it alongside top-tier compliance intelligence providers.

While competitors explore isolated AI integrations, Smarsh’s approach—combining open architecture, extensible APIs, and AI-native workflows—positions it at the center of the intelligent governance ecosystem.

The Road Ahead

Smarsh’s recognition by Gartner affirms its role as a pioneer in AI-enabled digital communications governance. As organizations integrate more generative AI tools into daily workflows, the need for unified compliance oversight will continue to rise.

By evolving its platform around AI, automation, and open data control, Smarsh is not only future-proofing compliance operations but also redefining how regulated industries leverage communication data for growth.

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RingCentral, Inc. (NYSE: RNG) has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Unified Communications as a Service (UCaaS)—marking its 11th consecutive year in the Leaders quadrant. This consistent recognition underscores RingCentral’s dominance in the UCaaS market and its continued commitment to AI-driven innovation.

In addition to this placement, RingCentral ranked #1 in two of six Use Case categories and tied for the top spot in another in the Gartner Critical Capabilities for UCaaS report. These rankings highlight the company’s ability to deliver reliable, intelligent communication experiences that power business agility and human connection at scale.

Transforming Voice Into Business Intelligence

Kira Makagon, President and Chief Operating Officer at RingCentral, emphasized the impact of AI on modern communication:

“AI has fundamentally changed how businesses engage with their customers — empowering people in every role and unleashing an entirely new era of human potential,” Makagon said.

She added that RingCentral is turning voice—the most essential form of communication—into a strategic business asset. By analyzing and enhancing voice interactions through AI, the company enables enterprises to make smarter, faster, and more informed decisions.

This transformation moves communication beyond connectivity—it becomes an intelligence layer driving performance, customer satisfaction, and operational insight.

AI Innovation at the Core of Unified Experiences

RingCentral’s flagship RingEX™ platform remains one of the most trusted UCaaS solutions in the market, consistently praised for its:

• High reliability and uptime across global deployments

• Intuitive, feature-rich telephony and mobility

• Seamless integrations with leading third-party applications and workflows

At the same time, RingCentral continues to expand its influence through RingCX™, its AI-first Contact Center as a Service (CCaaS) platform. By combining UCaaS and CCaaS under one intelligent ecosystem, RingCentral provides unified employee and customer experiences that drive measurable business outcomes.

This integrated approach allows organizations to bridge the gap between internal collaboration and external engagement, improving responsiveness and strengthening customer loyalty.

A Decade of Consistent Leadership

Being named a Leader for 11 consecutive years in Gartner’s Magic Quadrant is no small feat. It reflects RingCentral’s sustained excellence in innovation, reliability, and customer satisfaction—key differentiators in a market rapidly evolving under the influence of AI.

As hybrid work models persist and enterprises demand more adaptive communication infrastructures, RingCentral’s AI-powered ecosystem continues to stand out for its scalability, open architecture, and analytics-driven insights.

The company’s long-term vision centers on transforming every voice interaction into actionable intelligence, reinforcing its position at the intersection of communication, AI, and enterprise productivity.

Industry Implications

RingCentral’s recognition signals a broader trend: Unified Communications is shifting from a connectivity tool to an intelligence platform. Competitors like Microsoft, Zoom, and Cisco are investing heavily in similar AI integrations, but RingCentral’s long-standing expertise and early adoption of AI in voice and collaboration keep it ahead of the curve.

The 2025 Gartner UCaaS report reaffirms that AI-native communication ecosystems will define the next phase of digital transformation. For RingCentral, that future is already here.

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Litera, a global leader in legal AI technology, has made one of the boldest moves yet in the legal tech industry. The company announced that its new AI legal agent, Lito, will now be automatically included in all Litera drafting and workflow products — Draft Base, Pro, Advanced, and Kira — with no additional cost for existing or new customers.

This sweeping update instantly places AI-powered automation in the hands of tens of thousands of lawyers across 15,000 firms, democratizing access to advanced tools that once required dedicated budgets or specialized training.

“Today marks a watershed moment for the legal profession,” said Avaneesh Marwaha, CEO of Litera. “Tens of thousands of lawyers just gained technology that delivers 10x efficiency gains, directly in the tools where they do their work.”

AI That Meets Lawyers Where They Work

Rather than forcing adoption through separate applications, Lito is embedded directly into Microsoft Word, Outlook, and the Web, where most legal work already happens. This seamless integration ensures zero friction and zero learning curve, making enterprise-grade AI accessible to lawyers at every level—from BigLaw to solo practitioners.

“After three decades as the legal industry’s trusted partner, we understand that revolutionary change must meet professionals where they are,” Marwaha added.

Litera’s approach contrasts sharply with the growing number of standalone AI legal startups. Instead of offering yet another chatbot or LLM interface, Lito is built into the firm’s existing ecosystem, creating an AI-native experience without disrupting established workflows.

Lito: Built by Lawyers, for Lawyers

Introduced at ILTACON 2025, Lito is an agentic AI system grounded in 30 years of Litera’s legal tech expertise. It comes preloaded with 11 core legal AI skills designed by Litera’s in-house legal knowledge engineers. These skills cover tasks in Capital Markets, M&A, Litigation, Business Development, and Compliance — and the company plans to expand them continuously.

High-profile law firms in the Early Access Program helped refine the product’s design and usability.

“The platform has a user-friendly interface and simplified the need for prompt engineering through pre-defined skills,” said Joshua Tan, Partner at Delta Law Corporation. “Lito shows significant promise for reducing the time required for menial tasks.”

Unlike generic AI tools that perform single actions, Lito can chain multiple skills together into guided workflows, handling everything from document drafting to compliance checks — all within a single, unified Litera One interface.

A Fusion of LLMs and Proven Legal Engines

Lito is powered by a blend of large language model (LLM) technology and Litera’s rules-based legal engines, merging frontier AI capabilities with the company’s deep domain knowledge. This hybrid architecture ensures that outputs remain accurate, explainable, and compliant—a critical need in an industry governed by precision and trust.

The agent also integrates with iManage and NetDocuments, enabling firms to weave institutional knowledge directly into each workflow.

“The next wave of legal AI won’t be defined by who has the largest dataset or deepest pockets, but by who can make intelligence accessible inside the daily workflow,” said Ryan O’Leary, Research Director at IDC.

The Broader Vision: AI for Every Firm

According to Grand View Research, the global legal AI market was valued at $1.45 billion in 2024 and is projected to reach $3.9 billion by 2030. Litera’s move positions it ahead of the curve—not just as a software provider, but as a force driving AI equity across the legal landscape.

By embedding explainable, cost-free AI tools into widely used products, Litera is setting a precedent for how technology companies can scale intelligence responsibly across professional sectors.

“While others talk about the future of legal AI, we’ve just delivered it at scale,” Marwaha said. “This is about giving every lawyer, regardless of firm size or budget, the power to work smarter.”

With Lito, Litera isn’t just building another AI product. It’s redefining how the legal industry works — one document, one workflow, and one intelligent agent at a time.

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Enterpret, a leader in customer intelligence, has launched a new agentic customer feedback platform designed to help businesses move beyond understanding customer pain points to autonomously resolving them. The platform ingests feedback from over 50 channels — including Intercom, Gong, Reddit, and X — to create a unified, evolving view of the customer experience.

Traditional feedback systems rely on manual tagging or limited surveys, offering only fragmented insights. Enterpret replaces these outdated models with adaptive AI that identifies critical issues, quantifies revenue impact, and takes action in real time. Leading brands such as Perplexity, Notion, Canva, and Fanatics are already leveraging Enterpret to strengthen product performance and boost customer loyalty.

At its core, the platform integrates two major innovations:

• Customer Knowledge Graph – Unifies feedback across users, products, and revenue data, creating a dynamic system of record.

• Adaptive Taxonomy – Continuously learns customer language and context, eliminating manual tagging.

These capabilities are supported by Wisdom AI Agents, which enable teams to query feedback in natural language (“Why are signups stalling in Europe?”), and Action Agents, which autonomously detect issues and act in real time — such as escalating premium account concerns before churn occurs.

“Feedback doesn’t arrive in tidy survey results — it pours in from dozens of channels simultaneously,” said Nick Bell, CEO of Fanatics Collect. “Enterpret gives us the ability to make sense of that noise instantly, turning data into actionable insight.”

According to Varun Sharma, Co-Founder and CEO of Enterpret, “When companies miss what customers are telling them, the cost is massive. Enterpret turns raw feedback into unified, actionable intelligence — helping businesses build what customers actually want while protecting their bottom line.”

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Elastic (NYSE: ESTC), the Search AI Company, has introduced Streams, an agentic AI-powered solution that redefines how Site Reliability Engineers (SREs) interact with logs. The platform automatically parses and partitions raw log data, surfaces critical anomalies, and gives teams actionable insights—helping engineers move from symptom to solution in minutes.

For years, SREs have struggled with log overload—massive data volumes, unclear signals, and dashboards that show what’s broken but not why. Elastic’s new Streams solution directly tackles that problem. It uses AI to extract relevant fields, automatically identify significant events like out-of-memory errors or internal server failures, and deliver early warnings that reveal the root cause of system issues.

“Streams makes logs your most valuable asset,” said Ken Exner, Chief Product Officer at Elastic. “It automatically finds the signal in the noise, surfacing critical events from any log source. This gives SREs time back, allowing them to move from symptom to solution in minutes.”

Powered by the Elasticsearch platform, Streams introduces a complete overhaul of traditional log pipelines. It adapts dynamically to new log formats, replacing complex manual data engineering with AI-driven automation. The platform helps teams maintain full observability without incurring the high storage and management costs associated with traditional methods.

Key capabilities include:

• Log everything, effortlessly – AI-driven ingestion supports any log format from any source.

• Get answers, not just data – Automatically surfaces significant events for faster root-cause analysis.

• Cost-effective visibility – Reduces complexity and total ownership costs through intelligent data organization.

With Streams, Elastic is positioning logs not as a noisy byproduct, but as a rich source of operational intelligence—transforming them into a first-line tool for proactive system reliability.

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AI’s influence on public relations has been both transformative and taxing. While automation tools promise efficiency, the flood of digital channels and the rise of generative AI have only increased the workload for PR professionals. That’s where PRVIEW, launching this week at TechCrunch Disrupt 2025, steps in.

The new platform aims to take the grunt work out of PR operations—starting with the labor-intensive process of researching and managing awards and speaking opportunities. The company’s beta release, the PRVIEW MVP, introduces automation designed to give communication teams valuable time back for strategic storytelling and brand building.

Redefining PR Workflows with Automation

At its core, PRVIEW replaces spreadsheets, manual research, and disjointed databases with AI-powered automation. The system monitors thousands of awards and events across more than 80 industries, from technology and finance to healthcare and sustainability.

The platform automatically updates submission deadlines, tracks progress, and sends real-time alerts for new opportunities. Its built-in analytics track success rates, helping teams refine their approach to maximize visibility and win rates.

Key features include:

• Awards & Speaking Database: Access thousands of curated opportunities with automated deadline updates and customizable lists.

• Deadline Radar: Get real-time alerts to stay on top of shifting timelines.

• Client Workspaces: Centralized dashboards track every client submission from start to finish.

• Smart Analytics: Gain insights into win/loss patterns for data-driven optimization.

• Task Management: Automate workflows from the first draft to event day execution.

Addressing PR’s Productivity Problem

“AI, generative engine optimization, and the expanding media landscape are giving PR pros more work, not less,” said Lisa Ann Pinkerton, CEO and co-founder of PRVIEW. “The industry needs real tech tools that automate routine tasks. We started with events and awards because no one had solved this glaring problem—everyone’s building their own databases.”

Pinkerton, a PR veteran and founder of Technica Communications, brings over 16 years of experience helping tech startups scale through strategic communications. She co-founded PRVIEW with Julien Adler, a software engineer with nearly three decades of experience in enterprise and AI systems.

Adler added, “Every PR professional knows the pain of chasing changing deadlines across countless spreadsheets. Our MVP is practical automation—built to make one core workflow smarter and easier.”

Shaping the Future of AI in Communications

PRVIEW’s launch comes amid a surge in demand for AI-driven tools that tackle administrative pain points without replacing human creativity. While many PR software solutions focus on media monitoring or sentiment analysis, PRVIEW takes aim at a different challenge—the operational side of PR management.

The startup has been awarded a coveted spot in the TechCrunch Startup Battlefield 200, spotlighting its potential to redefine how PR teams manage time, data, and output.

Opening in beta this week, PRVIEW will select 50 Founding Beta Partners to receive lifetime discounted pricing and direct influence over product development. The company plans a full public rollout in 2026, positioning itself at the intersection of AI automation and professional communications.

For an industry long bogged down by administrative overload, PRVIEW could mark a shift from manual maintenance to measurable momentum—proof that the future of PR may finally be about doing less, and achieving more.

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In a move set to reshape customer engagement across Jordan’s automotive landscape, Integrated Automotive has partnered with Truecaller, the global communications platform known for its verified caller solutions. The collaboration will integrate Truecaller’s Customer Experience Solution suite into Integrated Automotive’s operations, bringing a new level of transparency and authenticity to how the company interacts with its customers.

Transforming Communication in the Automotive Industry

As customer expectations for secure and transparent communication continue to grow, Integrated Automotive recognized the need for a digital-first approach. By adopting Truecaller’s verified communication tools, the company aims to eliminate uncertainty in customer interactions and reinforce trust in every engagement.

Through Truecaller’s Customer Experience Solution, Integrated Automotive’s calls will now appear with a verified green badge, the company’s official logo, and its Arabic name, ensuring instant recognition. The integration will also leverage Truecaller’s Call Reason and Video Caller ID features, providing customers with clear context about why they’re being contacted — before answering the call.

This enhancement not only prevents call fatigue but also establishes a sense of authenticity that’s essential for service-driven industries like automotive sales and logistics.

Building Trust Through Localization and Technology

The localized Arabic Caller ID experience marks a strategic advancement for Integrated Automotive’s customer engagement model. It reflects the company’s commitment to meeting customers where they are—linguistically, culturally, and digitally.

“At Integrated Automotive, we are committed to providing customer-centric services that build trust and enhance the ownership experience, especially in the field of selling trucks and heavy equipment,” said Ahed Sukhon, General Manager at Integrated Automotive. “Through our partnership with Truecaller, we ensure reliable and transparent communication with our customers in Jordan. This collaboration not only reflects our dedication to adopting global best practices but also demonstrates our vision to set new benchmarks of excellence in the heavy equipment sector.”

Setting a New Standard for Verified Communication

Truecaller’s Global Head of GTM & Developer Products, Priyam Bose, emphasized the broader impact of this partnership: “Truecaller is thrilled to collaborate with Integrated Automotive to redefine customer communication in Jordan. By deploying our Customer Experience Solution Suite, Integrated Automotive can enable secure, trustworthy, and transparent interactions. The ability to display their Business Name and Call Reason in Arabic ensures every engagement is contextually relevant and culturally resonant.”

This partnership highlights how verified caller technology is evolving beyond spam prevention into a strategic communication tool. By combining technology with trust, Integrated Automotive is positioning itself as a pioneer in Jordan’s commercial trucking industry — using AI-driven caller verification to enhance engagement and build stronger customer relationships.

Driving the Future of Digital Engagement

As digital transformation continues to shape the automotive industry, partnerships like this one demonstrate the growing role of AI and verified communication in customer experience strategies. For a sector built on reliability and service, the integration of Truecaller’s suite could become a model for how other enterprises in the Middle East approach customer trust in the digital age.

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WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a global leader in hologram augmented reality (AR) technologies, is expanding its innovation footprint into blockchain security. The company announced its exploration of a blockchain privacy protection system based on post-quantum threshold algorithms, designed to defend against quantum-era threats while improving efficiency and scalability.

Securing Blockchain in the Quantum Age

Traditional blockchain systems rely heavily on asymmetric encryption methods such as RSA and ECC to secure transactions and verify identities. These algorithms are built on mathematical problems that classical computers find nearly impossible to solve — but quantum computers may not.

With quantum computing advancing rapidly, the risk of these cryptographic methods being cracked is growing. WiMi’s post-quantum blockchain solution aims to eliminate this vulnerability by integrating lattice-based cryptography, hash-based encryption, and multilinear mappings that remain secure even under quantum attacks.

Threshold Key Sharing: A Distributed Defense

At the core of WiMi’s new system is threshold key sharing technology — a mechanism that divides private keys into several fragments and distributes them across multiple network nodes. Only when a certain number of nodes collaborate can the full key be reconstructed, significantly reducing the risk of centralized data breaches.

This structure not only strengthens security but also improves fault tolerance. Even if certain nodes are compromised or go offline, the system continues to operate without exposing sensitive data or halting consensus operations.

Advanced Features of WiMi’s Blockchain Privacy System

WiMi’s post-quantum threshold blockchain architecture introduces several key innovations designed to balance high-level security with operational efficiency:

• Post-Quantum Security: Resistant to quantum decryption, ensuring that data integrity remains intact even as quantum computing scales.

• Distributed Key Management: Protects against single-point failures by decentralizing key storage across multiple nodes.

• Dynamic Access Control: Uses a threshold-based data authorization model that requires consensus from multiple nodes before granting access.

• Efficiency and Scalability: Optimized consensus algorithms enable faster data validation, supporting large-scale applications without compromising speed.

• Smart Contracts and dApp Integration: Supports decentralized applications, automating transactions and expanding use cases across industries.

Building a Secure Blockchain Ecosystem

WiMi’s initiative underscores the company’s commitment to merging advanced AR and AI capabilities with emerging technologies such as blockchain and quantum computing. By exploring post-quantum threshold encryption, WiMi aims to address one of the biggest concerns in digital infrastructure — long-term data security.

The integration of post-quantum algorithms with blockchain not only strengthens privacy but also paves the way for secure decentralized ecosystems where sensitive data — from financial transactions to IoT device communications — can operate safely in a quantum-capable world.

Shaping the Future of Privacy-Centric Blockchain

As industries prepare for the inevitable quantum leap in computing power, the urgency to future-proof data systems is escalating. WiMi’s research positions the company at the forefront of quantum-resilient blockchain innovation, aligning with a growing global trend toward decentralized security frameworks.

If successful, WiMi’s system could redefine blockchain’s security paradigm — combining the immutability of distributed ledgers with quantum-resistant cryptography and AI-driven efficiency. The result: a new standard for privacy protection in a world where both data and computing evolve faster than ever before.

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