SWIRL Legal Search
Private AI-Powered Search for Law Firms
Now available in the Azure Marketplace 🔗
The Legal Information Crisis
Data Sprawl
Legal work product scattered across iManage, NetDocuments, SharePoint, email, and external databases. Lawyers spend hours searching across disconnected systems.
Compliance Risk
Generic AI tools create hallucination risk and regulatory exposure. Law firms face sanctions for unreliable AI-generated citations and work product.
Permission Chaos
Existing tools either ignore security boundaries or require expensive data migration into vendor-controlled indices that firms don't trust.
No Development Team
Law firms don't typically develop internal solutions with cost/complexity of LLMs. They haven't used AI internally as a result - yet. ABA 2024 AI TechReport 🔗
Pressure to Adopt AI
Law firms and legal departments are under huge pressure to start leveraging AI and reducing costs. Status quo isn't a viable option.
Why Current Solutions Fall Short
Legacy Federated Search
Tools like Autonomy, Verity and TR Legal Search Connect lack AI capabilities, deliver poor result quality, and require extensive IT overhead to maintain - while strugging with modern data formats and lacking semantic understanding crucial for legal nuances.
What is the Future of Search 🔗
"Agentic Attorney" Products
Solutions like DeepJudge require months of data curation and bulk ingestion into third-party systems. Firms tell us: "Nobody likes indexing into DeepJudge" due to security concerns and high costs.
Generic GenAI Assistants
ChatGPT and general tools lack legal system integration, permission awareness, and the reliability standards required for professional legal work. Professionals, including law firms, expect to adopt GenAI via trusted platforms and vendors, viewing it as adriver of change. TR Future of Professionals 🔗
How Lawyers Search Today vs. With SWIRL Legal Search
Today: Patchwork Search Across Systems
Currently, legal professionals waste valuable time navigating a fragmented digital landscape:
  • Lawyers search each system separately, whether it's internal documents or external research.
  • Time is wasted jumping between iManage, NetDocuments, M365, email, and various web tools.
  • It's hard to know if you've found everything relevant to a case, leading to uncertainty.
With SWIRL: One Secure Search for All Your Firm’s Knowledge
SWIRL Legal Search transforms this by providing a single point of access:
  • Single search across matters, documents, emails, and external legal research.
  • Uses your existing systems and permissions—no data copying or migration needed.
  • AI intelligently surfaces and analyzes the most relevant content for each matter, enhancing discovery.
Federated AI Search Built for Legal
SWIRL acts as a neutral layer, feeding any AI assistant (e.g., Copilot, ChatGPT) with trusted, permissioned results from existing applications, data platforms and information services.
Federated Querying
SWIRL queries each repository via APIs, respecting existing permissions. No curation, ingestion or indexing is required. No user ever sees anything they aren't already authorized to see.
Private Deployment
Connects to iManage, M365, custom SharePoint Collections, BetterRegulation.com and many more.
Deploy securely in your Azure tenant in hours via Marketplace with OAuth2/SSO.
AI Re-Ranking
The results returned by each source are re-ranked using your firm's preferred LLM (OpenAI, Azure OpenAI, Anthropic, 20+ more) to surface the most relevant answers in real time.
Integration & AI Assistant
Works standalone or integrates with Microsoft 365 Copilot, ChatGPT or custom UIs as your secure RAG layer. Built-in MCP support for workflow systems like CREW.AI, N8N and Power Automate.
Expanded TAM - Legal Search Market
The total addressable market (TAM) for SWIRL Legal Search is now approximately $831M, with significant contributions from corporate legal and government sectors alongside law firms. This expansion highlights the broad applicability of SWIRL's federated AI search solution across diverse legal environments.
Global / Am Law / Magic Circle
~400 firms
ACV: $225K
TAM: ≈ $90M
Description: 500+ attorneys. Multiple legacy systems creating knowledge silos. KM teams struggle with fragmented search. High ROI from unified federated search that preserves existing investments.
Upper-mid market (100–499 lawyers)
~700 firms
ACV: $150K
TAM: ≈ $105M
Description: 100–499 attorneys. Heavy document volume from litigation and regulatory matters. Need fast search across depositions, pleadings, and research without vendor lock-in. Strong focus on data security and compliance.
Specialist / regional (50–99 lawyers)
~400 firms
ACV: $90K
TAM: ≈ $36M
Description: 50–99 specialists. Serve heavily regulated industries (financial services, healthcare, energy). Cannot risk AI hallucinations. Require audit trails and explainable search results.
IP/Patent Practices
TAM: ≈ $180M
Description: Patent prosecution firms, IP boutiques, and corporate IP departments managing massive prior art databases, patent portfolios, and trademark searches. Need federated search across USPTO, EPO, WIPO, and internal systems.
Corporate Legal Departments
TAM: ≈ $280M
Description: In-house legal teams at regulated industries (financial services, healthcare, pharma, energy). Managing contracts, compliance documents, regulatory filings across multiple systems. High security requirements and audit needs.
Government & Public Sector Legal
TAM: ≈ $140M
Description: Federal, state, and local government legal offices, regulatory agencies, and public defenders. Need to search across case management systems, regulatory databases, and public records while maintaining strict data sovereignty.
Total Addressable Market ≈ $831M ARR

This TAM now includes corporate legal departments and government sectors, expanding beyond law firms. Additional upside potential exists from international markets and adjacent regulated industries.

SWIRL expects to generate additional revenue in related industries (GRC, Healthcare, Public Sector) and regions (Japan, Germany, Spain) via OEM/reseller deals. SWIRL has several partnerships in place now at https://swirllegal.com/partners/ 🔗
Competitive Landscape
SWIRL uniquely combines AI depth with in-tenant, federated control, unlike vendor-centric SaaS and GenAI platforms.

Key Takeaway:
Legacy federated search proved the value of cross-system legal search, but it pre-dates GenAI and is being sunset. Vendor-centric GenAI platforms (Harvey, TR + DeepJudge) are powerful but lock firms into specific ecosystems and clouds.
SWIRL Legal Search is the next generation of federated search: same "no re-index" principle, modern LLM re-ranking and RAG, fully in-tenant, and content-neutral plumbing that can feed CoCounsel, Copilot, or a firm's own assistant.
Traction & Momentum
3
Paying Customers
2 in highly regulated industries, 1 legal. Average Order Value (AOV) of $45k.
6
Active Pipeline
Law firms evaluating or in active sales conversations
Our quarterly revenue shows strong growth momentum, doubling from Q2 to Q3 2025, demonstrating increasing market adoption.

"Nobody likes indexing into DeepJudge. SWIRL gives us control, security, and lower costs."
— Early customer feedback
Note: 2 of the 3 customers self-deployed SWIRL in their own environment, with their own IT teams, directly from the Azure Marketplace offer shown above.
Case Study: Irish Law Firm (EU)
SWIRL AI Legal Search Replaces Legacy Federated Search

Client Snapshot
Leading international law firm based in Dublin, with offices in Europe and US. Known for innovation in complex legal matters. Over 1,000 employees and more than 100 partners.
Challenge
  • Legacy federated search nearing end-of-life.
  • Siloed content: iManage, M365/SharePoint, BetterRegulation, legal research tools.
  • Need AI search without compromising data residency or confidentiality.
Solution: SWIRL AI Legal Search (Azure)
SWIRL deployed via one-click Azure Marketplace install. Replaced aging federated search, providing seamless, permission-aware access across critical legal sources.
Connectors: M365/SharePoint, iManage, BetterRegulation. Roadmap for LexisNexis & Thomson Reuters.
Why SWIRL?
  • One-click Azure deployment: Fast, low-friction setup; no separate SaaS data copy.
  • Pre-integrated with core legal systems: Seamless connectivity to iManage, M365/SharePoint, BetterRegulation out-of-the-box.
  • Fast, unified search: Federated, in-place search with AI re-ranking, respecting native permissions.
  • Configure, not code: KM and IT teams easily add new sources and filters via configuration.
  • Private, secure, compliant: No bulk data movement, ingestion, or indexing required.
Case Study: Defense Engineering Consultancy
Accelerating Service Performance in Highly Regulated Environments

Client Snapshot
A firm of over 250 specialists providing deep technical expertise and unique technology to defense and homeland security engineering projects.
Challenge
  • Accessing vital information across dozens of disparate, carefully curated systems.
  • Operating within a complex, highly compartmentalized data environment.
  • Maintaining strict data residency and security in their private Azure.gov cloud.
Solution: SWIRL AI Search (Azure.gov)
SWIRL was deployed via the Azure.gov marketplace, enabling specialists to rapidly access and synthesize information from across their diverse data landscape with AI-powered re-ranking and summarization.
Connectors: M365.gov, SharePoint collections, M-Files, SpiraPlan, Source Control, file systems, GitHub, PostgreSQL, MySQL, and on-premises fine-tuned LLMs.
Why SWIRL?
  • One-click Azure.gov deployment: Seamless installation within their private cloud.
  • Comprehensive backend support: Connects to all commercial and open-source systems, including their choice of LLMs.
  • CISO-approved compliance: No data movement or re-indexing, meeting stringent security and audit requirements.
"Moving data would not have been practical, and we have an audit due this year. SWIRL let us speed through that, and now we answer our customers ~33% faster."
Case Study: Influential University
Empowering Faculty & Staff with Instant Knowledge

Client Snapshot
A prominent university with over 1000 faculty and staff, sought to enhance research efficiency and access to critical information across its diverse knowledge repositories.
Challenge
  • Faculty and staff struggled to find information across dozens of disparate sources.
  • High cost and complexity associated with ingesting and indexing petabytes of proprietary university data into a centralized system.
  • Need for AI-powered insights without compromising data control or requiring a long reading list of search results.
Solution: SWIRL AI Search
SWIRL AI Search was implemented to provide faculty and staff with a unified, instant search experience across all their digital assets. It delivers on-demand insights and extracts answers with citations, significantly reducing time spent sifting through information.
Connectors: M365, SharePoint, ServiceNow Knowledge Bases & Service Catalogs, multiple library catalogs, private SharePoint collections, and dozens of university websites.
Why SWIRL?
  • Comprehensive Source Support: Seamlessly integrated with all key university systems and their choice of LLM out of the box.
  • Effortless Integration: No coding required, leveraging standards-based authentication for quick setup.
  • Cost-Effective & Efficient: Delivered high-quality search results across sources without the prohibitive cost and complexity of data ingestion, indexing, and duplication.
The Team
Sid Probstein
Founder & CEO
Serial entrepreneur, part of FAST Search & Transfer (acquired by Microsoft, 2008), founding CTO of Attivio (acquired by ServiceNow, 2014) where he co-authored a key patent.
David Nicodemus
Chief Technology Officer
Deep expertise in designing & building scalable search engines and databases, including past work at Attivio, Ab Initio, Progress Software, TripAdvisor & VistaPrint.
Erik Spears
Chief Support Officer
Full-stack AI Engineer with Information Architecture and Customer Support backgrounds. Previously at Attivio, FAST Search & Transfer & Northern Light Technology.
Dr. John O'Neil
Chief Scientist
Deep expertise in AI & Machine Learning, retrieval algorithms, and ranking systems. Previously at Attivio where he authored a key patent, Edgewise Networks (acquired by Zcalar), BasisTech & Firespout.
Michael Rooney
Chief Revenue Officer
Serial enterprise startup sales leader, with expertise in sales, marketing and consulting. Past work at Intellective, GM role at Creatio, IntelliChief, Integrity Interactive & Charles River Development.
Legal Executive
[Hiring]
We are seeking an experienced legal technology executive with law firm relationships and enterprise sales and/or business development background to focus on revenue growth and strategic partnerships.
More Information