TITLATech Inc. logo

TLATech Inc. Unclaimed

Legal Technology

syllo.ai

New York, NY, United States

AI-powered litigation technology provider delivering a unified platform for end-to-end matter management.

TLATech Inc. is a provider of AI-powered litigation technology that unifies essential legal workflows. The company delivers a scalable, end-to-end platform for case management, eDiscovery, legal research, analysis, and drafting. It serves in-house legal teams and leading law firms, enabling secure collaboration, governance, and efficient matter handling. The organization emphasizes agentic AI capabilities, scalable document review, and integrated workflows to improve accuracy, speed, and strategic decision-making across high-stakes matters. Founded in 2019 by litigators and engineers, TLATech focuses on building the data infrastructure and workflows that support AI-driven litigation work while maintaining strong security and compliance standards.

To empower legal teams with a unified, AI-enabled platform that supports end-to-end litigation management, improving efficiency, accuracy, and strategic outcomes.

What we offer

Syllo Unified Platform

Empowers legal teams with a cohesive platform for managing complex litigation efficiently and accurately.

syllo.ai/unified-platform/

Market segments

Market size by segment

Growth potential (CAGR)

Evidence management and review

9.53 Billion USD9.77% CAGR

Capabilities for ingesting, indexing, searching, filtering, and reviewing documents, transcripts, audio/video and linked exhibits to support discovery and evidentiary analysis.

Litigation workflow and case management automation

9.8 Billion USD11.8% CAGR

End-to-end case lifecycle automation including AI-ready data infrastructure, integrated CMS/CRM data, workflow automation, real-time updates, and task orchestration from intake through resolution.

Case intelligence and narrative building

3 Billion USD30% CAGR

Analytics and knowledge management that ground AI in case context to build dynamic chronologies, narratives, contextual analysis, and verifiable rationales to inform strategy and decision making.

Autonomous matter management

0.4 Billion USD30% CAGR

Agentic AI orchestration that autonomously coordinates review, research, and task execution across matter workflows using specialized agents and multi‑LLM coordination.

More information about our offering

Syllo Unified Platform

An all-in-one AI-powered litigation platform that unifies essential workflows across the full litigation lifecycle. Syllo maps the complete record—from complaint to trial—within a single auditable, adaptive environment, enabling secure collaboration, governance, and scalable matter handling. The platform combines case management, eDiscovery, legal research, analysis, and drafting to deliver faster, more accurate outcomes. The Litigation Agent, an AI component, autonomously manages matters end to end while The Agentic Issue Tagging enhances document review with advanced AI capabilities.

  • Achieve Unmatched Document Review Accuracy
    Harnesses advanced agentic AI to streamline document review processes, improving efficiency and accuracy for complex litigation.
  • Visualize Entire Case Progress
    Continuously tracks the evolving litigation record, providing a complete overview for strategic planning.
  • Integrate All Aspects Of Litigation
    Streamlines processes across the entire litigation lifecycle, enhancing coordination and efficiency.
  • Automates Entire Matter Handling
    Seamlessly handles every aspect of litigation, from initial assessment to trial, ensuring efficient workflows and consistent case management.
  • Enhances Review Speed & Accuracy
    The Agentic AI system enhances the document review process by orchestrating specialized agents that promote efficient handling of large amounts of information, significantly accelerating review timelines and accuracy.
  • Ensures Defensible Outcomes
    The system supports automated reviews that produce defensible results, providing a robust, verifiable basis for tagging decisions that enhances the credibility of the review process.
  • Ensure Compliance And Security
    Facilitates a transparent audit trail while adapting dynamically to changing litigation needs.
  • Rapidly Locate Key Documents
    Empowers users to efficiently filter and find critical documents using advanced search functionalities.
  • Maximizes Review Efficiency
    Increases the speed and accuracy of document review, applying unlimited issue codes for complex cases and significantly reducing discovery costs.
  • Provides Clear Justifications
    Each tagging decision is supported by a verifiable rationale, ensuring transparency and bolstering confidence in the review outcomes.
  • Identifies Critical Evidence
    The system analyzes context to highlight key documents, enabling teams to quickly identify relevant evidence that can inform legal strategies.
  • Enhance Contextual Knowledge Management
    Utilizes contextual understanding to provide relevant insights and support decision-making throughout litigation.
  • Accelerate Document Review Efficiency
    Streamlines the review workflow with capabilities for simultaneous handling of multiple documents.
  • Provides Up-to-Date Legal Insights
    Ensures that legal teams work with the most current case information, enhancing decision-making and strategic planning.
  • Enhances Collaboration Across Teams
    Facilitates seamless communication and task management among litigation teams, improving overall efficiency and effectiveness.
  • Unlimited Document Categorization
    Teams can apply an unlimited number of issue codes to documents, facilitating greater granularity in document categorization and analysis.
  • Streamlines Legal Workflows
    The platform integrates eDiscovery processes with case management, ensuring consistency and efficiency throughout the legal workflow.
  • Craft Compelling Case Narratives
    Facilitates the development of powerful case stories by linking key events to evidence seamlessly.
  • Automate Set Production Processes
    Enables a faster rollout of document productions while ensuring compliance with legal standards.
  • Simplify Document Management
    Allows seamless integration of diverse document types, reducing manual overhead and increasing efficiency.

References

Methodology and sourcing behind the figures shown above.

Evidence management and review

Multiple industry reports in the provided search results place the digital evidence management market at roughly USD 8.3–9.6 billion (2024–2025) with forecasts to ~USD 22 billion by the early-mid 2030s and projected CAGRs in the ~9.6–11.6% range. I used the Fortune Business Insights figure (USD 9.53B in 2025) and its 9.77% CAGR as a representative, corroborated by Precedence Research, FortuneDataVista, MarketResearchFuture, and SNSInsider reporting similar market sizes and mid-teens single-digit CAGRs.

Litigation workflow and case management automation

Primary estimate uses CoherentMarketInsights' explicit valuation for the Legal Case Management Software market (USD 9.80 Bn in 2026) and its CAGR (11.8% 2026–2033). Precedence Research and Market Research Future provide corroborating larger-scope case-management and legal-RPA figures (USD 8.26B in 2024 for case management; USD 2.646B RPA in legal services), while BusinessResearchInsights reports a much smaller, narrower estimate. Taken together, the legal case-management market (including automation and AI-ready workflow) is best represented by the Coherent estimate with ~11.8% growth potential given strong cloud, AI and RPA adoption trends shown across sources.

Case intelligence and narrative building

Estimate derived by scaling enterprise NLP/knowledge-management and narrative-intelligence as a narrow subsegment of the global AI market. MarketsandMarkets values the AI market at ~USD 601.93B (2026); assuming case intelligence & narrative-building comprise a small enterprise share (~0.5% of AI spending) gives ~USD 3B. Growth potential is aligned with high-growth AI subsegments (generative/NLP/vertical AI); healthcare AI projections and overall AI CAGR indicate strong demand, so a ~30% CAGR is plausible for this specialized, emerging segment over the next 5–7 years. Assumptions: (1) segment is an emergent horizontal/vertical use-case across risk, legal, communications, and investigations; (2) adoption and pricing mirror other high-value enterprise AI applications; (3) market share remains a small fraction of overall AI spend but grows faster than legacy enterprise software.

Autonomous matter management

Estimation anchored to published "autonomous agents" market reports in the search results. Precedence Research and SNS Insider report the broader autonomous-agents/AI market at multiple billions with very high CAGRs (mid-30s to 40%). "Autonomous matter management" is a narrow enterprise vertical (agentic orchestration for matter/workflow automation); assuming it represents roughly 5–10% of the overall autonomous-agents addressable market yields a 2025/2026 baseline in the low hundreds of millions. I selected a conservative midpoint estimate of $0.4B current market size and a strong but slightly lower CAGR (30%) than horizontal agent forecasts to reflect enterprise sales cycles and vertical adoption lag.

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