SWIRL 5 - Knowledge Authority for Legal AI

The moment

Claude connects to everything.
That changes the question.

The stack is clarifying fast. Foundation models are the orchestration layer. MCP connectors are the retrieval layer. The legal AI interface - from Harvey to MikeOSS - is becoming a commodity.

That exposes the one layer no connector or model supplies from the outside: your organization's knowledge authority.

Six questions AI can't answer without you

Which document is the official version?
Which clause does your firm actually use?
Which memo supersedes the older memo?
Which precedent has partner approval?
Which result has been endorsed by the organization?
Which answer reflects firm judgment, not model guesswork?

SWIRL 5

Everything built to answer
one question

Which knowledge has your organization actually approved? Every capability exists to answer that question reliably, for any AI system.

Cross-Encoder Relevance

Not similarity - judgment. Reads query and document together like an expert, scoring actual relevance rather than vector distance.

New in SWIRL 5

Canonical Version Finder

Teams pin the official answer for any query. Every AI calling SWIRL gets the approved result, not the model's best guess.

New in SWIRL 5

MCP Server & Client

A first-class MCP server so any AI can call SWIRL as its knowledge layer. The MCP client ranks and canonicalizes documents from any source.

New in SWIRL 5

AI Yield Calculator

Measures the ratio of queries returning endorsed knowledge vs. best-guess retrieval. Track it, improve it, show it to the board.

New in SWIRL 5

Business Console

Query and source boosting, blocking, and spotlight content - managed by the firm, no code required.

New in SWIRL 5

Semantic Cache + Dedup

Semantic caching and deduplication pipeline. Faster RAG, fewer redundant results across 150+ sources.

New in SWIRL 5

Dynamic Page Fetching

When a source runs out, SWIRL fetches more on demand. Deep searches no longer hit pagination ceilings.

New in SWIRL 5

Cryptographic Protection

All data, tokens, and credentials cryptographically protected at rest. Built with attorney-client privilege requirements in mind.

New in SWIRL 5

Search Skills for AI

Pre-built search skills for Claude and other AI platforms. Claude is the front-end; SWIRL is the knowledge layer beneath it.

New in SWIRL 5

Case Studies

In production at firms that can't afford to be wrong.

Legal · AmLaw

Legacy+Replaced

Major law firm replaces aging federated search across M365, SharePoint, and legal publishers

ChallengeAging federated search spanning M365, curated SharePoint collections, elite legal publishers, matter management, and precedent databases. Expensive to maintain, unable to surface AI synthesis, unable to keep pace with the firm's growing knowledge footprint.

SolutionSWIRL replaced the legacy search layer. Attorneys and paralegals receive ranked, canonical answers from the firm's complete knowledge base - AI synthesis available at the point of query, within the firm's security perimeter.

OutcomeLegacy platform retired. Complex legal research that required manual cross-repository searches now resolves in a single query. Firm-wide access to knowledge that previously lived only in specific SharePoint collections.

Microsoft 365 SharePoint Legal Publishers Matter Management

Government · Research

Azure.govDeployment

Federal data services organization unifies curated intelligence across government silos

ChallengeBuilt its business aggregating and curating hundreds of proprietary and government data sources. Over time those silos became a liability - decision-makers waited days for cross-source analysis, and technical support couldn't resolve questions that crossed repository boundaries. A vector database or purpose-built search engine would have cost millions and required moving data they were legally prevented from centralizing.

SolutionSWIRL deployed in Azure Government (Azure.gov) - federated search and AI-assisted synthesis across all curated sources at query time. No data moved. All compliance posture preserved.

OutcomeDecision cycles that took days now take minutes. Support engineers resolve cross-source questions in real time.

Azure.gov Azure Government Cloud Compliance

Higher Education · Research

8+ sourcesUnified

Influential business school unifies faculty research across M365, library catalogs, and periodical indexes

ChallengeFaculty, researchers, and administrative staff needed unified search across Microsoft 365, ServiceNow, data catalogs, departmental websites, the university library catalog, and periodical indexes. Siloed access was a constant drag on research productivity.

SolutionSWIRL deployed as the unified search and AI synthesis layer - no data migration, no governance changes. Faculty query the full institutional knowledge base from a single interface.

OutcomeResearch friction eliminated. IT tickets for "I can't find..." dropped to zero. Institutional knowledge previously hidden in specific repositories became accessible to everyone.

Microsoft 365 ServiceNow Library Catalogs Periodical Indexes

Government · Defense

< 1 day1 engineer

Federal integrator adds full-spectrum AI search to air-gapped CMS in under a day

ChallengeA federal systems integrator had built a powerful CMS for classified, air-gapped environments. Analysts could manage content but had no way to search other data sources within the compartment - or expose that knowledge to internal AI systems.

SolutionOne engineer integrated SWIRL via the MCP server in under a day - enabling federated search across GCC High and Low networks and classified content sources, all within the air-gap. Data never leaves the compartment.

OutcomeFull-spectrum knowledge access operational same day. Internal AI systems now access the complete compartment knowledge base via MCP. The capability was added to the integrator's platform offering.

Air-Gapped GCC High GCC Low MCP Server

Your AI is only as good as
the knowledge it's allowed to trust.

Claude connects to everything.
That changes the question.

Three layers. One clean separation.

Everything built to answer
one question

In production at firms that can't afford to be wrong.

Major law firm replaces aging federated search across M365, SharePoint, and legal publishers

Federal data services organization unifies curated intelligence across government silos

Influential business school unifies faculty research across M365, library catalogs, and periodical indexes

Federal integrator adds full-spectrum AI search to air-gapped CMS in under a day

Latest thinking on legal AI.

The Knowledge Authority Problem: Why Claude for Legal Changes the Stack

Copilots Add Abstraction. SWIRL Removes It.

Which Version Is Right? Introducing Pinned Results in SWIRL

Sign up for the
SWIRL 5 preview

Your AI is only as good as the knowledge it's allowed to trust.

Claude connects to everything.That changes the question.

Three layers. One clean separation.

Everything built to answerone question

In production at firms that can't afford to be wrong.

Major law firm replaces aging federated search across M365, SharePoint, and legal publishers

Federal data services organization unifies curated intelligence across government silos

Influential business school unifies faculty research across M365, library catalogs, and periodical indexes

Federal integrator adds full-spectrum AI search to air-gapped CMS in under a day

Latest thinking on legal AI.

The Knowledge Authority Problem: Why Claude for Legal Changes the Stack

Copilots Add Abstraction. SWIRL Removes It.

Which Version Is Right? Introducing Pinned Results in SWIRL

Sign up for theSWIRL 5 preview

Your AI is only as good as
the knowledge it's allowed to trust.

Claude connects to everything.
That changes the question.

Everything built to answer
one question

Sign up for the
SWIRL 5 preview