TLATech Inc. Unclaimed
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
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
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
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
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 AccuracyHarnesses advanced agentic AI to streamline document review processes, improving efficiency and accuracy for complex litigation.
- Visualize Entire Case ProgressContinuously tracks the evolving litigation record, providing a complete overview for strategic planning.
- Integrate All Aspects Of LitigationStreamlines processes across the entire litigation lifecycle, enhancing coordination and efficiency.
- Automates Entire Matter HandlingSeamlessly handles every aspect of litigation, from initial assessment to trial, ensuring efficient workflows and consistent case management.
- Enhances Review Speed & AccuracyThe 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 OutcomesThe 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 SecurityFacilitates a transparent audit trail while adapting dynamically to changing litigation needs.
- Rapidly Locate Key DocumentsEmpowers users to efficiently filter and find critical documents using advanced search functionalities.
- Maximizes Review EfficiencyIncreases the speed and accuracy of document review, applying unlimited issue codes for complex cases and significantly reducing discovery costs.
- Provides Clear JustificationsEach tagging decision is supported by a verifiable rationale, ensuring transparency and bolstering confidence in the review outcomes.
- Identifies Critical EvidenceThe system analyzes context to highlight key documents, enabling teams to quickly identify relevant evidence that can inform legal strategies.
- Enhance Contextual Knowledge ManagementUtilizes contextual understanding to provide relevant insights and support decision-making throughout litigation.
- Accelerate Document Review EfficiencyStreamlines the review workflow with capabilities for simultaneous handling of multiple documents.
- Provides Up-to-Date Legal InsightsEnsures that legal teams work with the most current case information, enhancing decision-making and strategic planning.
- Enhances Collaboration Across TeamsFacilitates seamless communication and task management among litigation teams, improving overall efficiency and effectiveness.
- Unlimited Document CategorizationTeams can apply an unlimited number of issue codes to documents, facilitating greater granularity in document categorization and analysis.
- Streamlines Legal WorkflowsThe platform integrates eDiscovery processes with case management, ensuring consistency and efficiency throughout the legal workflow.
- Craft Compelling Case NarrativesFacilitates the development of powerful case stories by linking key events to evidence seamlessly.
- Automate Set Production ProcessesEnables a faster rollout of document productions while ensuring compliance with legal standards.
- Simplify Document ManagementAllows 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.
- The global digital evidence management market size was valued at USD 9.53 billion in 2025.
- CAGR of 9.77% from 2026–2034.
- The global digital evidence management market size accounted for USD 8.75 billion in 2025.
- Market size is valued at USD 9.43 billion in 2025; CAGR of 11.00% from 2026 to 2033.
- 2024 Market Size $6.55 Billion; CAGR (2025 - 2035) 11.64%.
- Market Size was valued at USD 8.34 Billion in 2024 and is expected to reach USD 19.25 Billion by 2032.
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.
- The Legal Case Management Software Market is estimated to be valued at USD 9.80 Bn in 2026
- is expected to reach USD 13.4 Bn by 2033, exhibiting a compound annual growth rate (CAGR) of 11.8% from 2026 to 2033
- The global case management software market size accounted for USD 8.26 billion in 2024
- the Robotic Process Automation in Legal Service Market was estimated at 2.646 USD Billion in 2024
- In 2026, the global Legal Case Management Software Market is estimated at USD 0.92 Billion
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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