SWIRL AI 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.

Current Legal AI 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 🔗

Technology Options for Legal AI

There are four primary approaches firms are considering today. The table below outlines the trade-offs in privacy, data movement, compliance exposure, AI depth, and time to value.

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.

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.

Why SWIRL has Privoted to Legal Search NOW

SWIRL has successfully replaced TR Legal Search Connect at a large EU law firm.

Team SWIRL has developed OEM solutions in the past including LexisNexis Total Search.

SWIRL checks all below boxes for AI Legal Search and is differentiated vs incumbents:

Private – Deployed on-premises or in private cloud. Not hosted. No third-party access.

Secure – Connects to firm SSO, enforces existing permissions so users only see what they're authorized to see.

Compliant – Zero data movement. Data stays in the current system of record and is not moved to a new repository.

Installed – Deployed/operated internally by IT.

No Development Required – Configuration only. No developers needed.

Intelligent Re-Ranking – Finds the best results across systems, not just aggregates them.

LLM Choice, No Lock-In – Supports OpenAI, Google, Anthropic and many others. No token resale.

Fine-Grained LLM Control – Precisely control which documents are sent for summarization and question answering.

Deep-Linked Citations – Every insight traceable to source documents instantly.

Auditable & Governed – Fully traceable, IT-managed, with dashboards and reporting.

Pre-Built Source Connectors for legal – including iManage, M365 and SharePoint.

Uses Existing SharePoint Structure – Leverages current collections and organizational schemes.

Traction & Momentum

Annual Recurring Revenue (ARR)

* 2025 includes up to $3.0M maximum potential from OEM deal with CompliQ

* 2026 forecast assumes < $500K in the first year of the OEM deal with CompliQ

4

Enterprise Customers

2 in highly regulated industries, 1 legal. Average Order Value (AOV) of $45k.

9

Active Pipeline

Law firms evaluating or in active sales conversations



"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.

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

Case Study: Irish Law Firm (EU)

SWIRL AI Legal Search Replaces Legacy Federated Search

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

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

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.
  • Durability: SWIRL has served the university with zero issues or downtown for more than two years.

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.

More Information

Sid Probstein
Founder & CEO
+1-617-407-4966
sid@swirlaiconnect.com
https://www.linkedin.com/in/sidprobstein/