Agentic OS (Operating System) icon

Agentic OS (Operating System)

Unify firm data into a secure matter memory layer—powering legal research agents, case assistants, and compliance tools with an ownable AI operating system. No need to choose build vs. buy — you get both.

1.6M+Platform Users
400+Organizations
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MCP Architecture Guide for Legal

How to connect your legal systems (document management, case management, billing, research) to AI agents — step by step.

Read the Guide

How ibl.ai compares

ibl.ai
Model choice
Any LLM — Claude, GPT, Gemini, Llama or open-source. Switch anytime.
Locked to Anthropic Claude models
Autonomous agents
Production-ready agents out of the box — plus the tools to build your own.
Chat assistant — you build & host your own agents
Privacy & ownership
100% self-hosted — private LLMs included. You own all the code, data & models.
Runs on Anthropic's cloud — your data leaves your walls
Cost at scale
Up to 85% lower — intelligent routing across providers, no per-seat lock-in.
Per-seat & per-token SaaS pricing
Delivery & services
Our engineers work with you to connect your data sources and build your agents.
Self-serve docs & standard support tiers

OS (Operating System) — Unify firm data into a secure matter memory layer

An Ownable AI Operating System for Law Firms & Legal Departments.

OS by ibl.ai connects document management, case management, billing, and research systems over an MCP-based interoperability layer to assemble a secure, per-matter memory.

That memory gives your AI agents the right context—so every attorney gets a research assistant, every paralegal a drafting aide, and every managing partner a practice intelligence tool.

Deployed in your infrastructure with your keys and your controls—including full code access.

For Attorneys: Context-Rich, Matter-Aware Assistants

Unified Matter MemoryCase history, filings, contracts, correspondence, billing entries, and client preferences—federated from your DMS/CMS/billing and made available (with policy guardrails) to the attorney's assistant.
Personalized ResearchProactive case law suggestions, citation checking, and citable answers grounded in your firm's work product and approved legal databases.
Privilege by DesignEthical wall enforcement, conflict-of-interest checks, and selective disclosure controls for every interaction.
ResultFaster research, fewer missed precedents, stronger case preparation.

For Paralegals & Practice Managers: An Intelligent Case Assistant

Case Context, Not GuessworkPulls docket calendars, document histories, billing records, and opposing counsel data to draft summaries, timelines, and status reports.
Workflow AutomationsFiling deadline alerts, document assembly, and time-entry drafts—always citing approved firm templates and jurisdictional rules.
Practice ControlPractice-group policies, versioned templates, and workload dashboards.
ResultMore time for substantive legal work, less time on administrative tasks.

For IT & Managing Partners: Own the Stack, Control the Risk

Runs in Your EnvironmentDeploy on-prem or in your cloud (AWS, Azure, GCP). Your VPC, your KMS, your IAM—no external data dependencies.
Full Code Access (No One Else Offers This)You receive source access to connectors, policy engine, and agent interfaces—no vendor lock-in.
Governance & ComplianceABA ethics support, privilege protections, RBAC, audit logs, retention policies, and data residency options.
Observability & Cost ControlUsage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration.
ResultMaximum confidentiality, predictable cost, and accelerated AI adoption—under your control.

What OS Connects (Examples)

DMSiManage, NetDocuments, OpenText
Case ManagementClio, Litify, Legal Tracker, TeamConnect
Billing & TimeAderant, Elite 3E, TimeSolv, Clio Manage
Legal ResearchWestlaw, LexisNexis, vLex, Fastcase
Identity & StorageAzure AD/Entra, Okta, OneDrive/SharePoint, S3, GCS

What's Inside OS (Architecture Highlights)

MCP Integration LayerNormalizes access to DMS/CMS/billing/research via secure adapters
Matter Memory LayerPer-matter knowledge graph + vector index with privilege-aware retrieval
Policy & Guardrails EngineField-level permissions, PII redaction, ethical walls, conflict checks
Agent InterfacesResearch Assistant (attorney), Case Assistant (paralegal), Practice Intelligence (partner)
Model Hub (LLM-Agnostic)OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable
Event Bus & AutomationsTriggers for filing deadlines, statute expirations, billing milestones
Audit & TelemetryEnd-to-end logs, prompt/response archives, cost and latency meters
Admin ConsoleConnectors, schemas, dataset scopes, memory visibility, and policy editing

Why OS Outperforms Typical Integration Hubs

Matter Memory LayerOS: Privilege-aware, per-matter context | Typical: No unified memory
Runs in Your InfraOS: Your VPC, keys, IAM | Typical: Vendor cloud only
Full Code AccessOS: Source delivered, extensible | Typical: Black box / SDK limits
LLM-AgnosticOS: Swap models freely (incl. local) | Typical: Single-model dependency
Legal GovernanceOS: Ethical walls, privilege protection | Typical: Generic role gates
Agent-ReadyOS: Standard research/case/practice interfaces | Typical: DIY agent plumbing

Benefits That Drive Impact

AttorneysFaster research and drafting grounded in firm knowledge.
Paralegals & StaffA dependable case assistant informed by real matter and billing data.
Managing Partners & ITA private, ownable AI foundation—no lock-in, full auditability, privilege-safe.

ibl.ai

The ibl.ai platform supplies secure memory and connectors, AI research and coaching experiences, and CLE tracking with analytics.

It designs training curricula and issues portable, verifiable proof of competency — an ownable AI operating system for legal practice.

Experience OS Today

Architecture ReviewMap your DMS/CMS/billing and security requirements
Private PilotDeploy in your cloud with your datasets and policies
Schedule a DemoSee how OS unifies firm data, safeguards privilege, and powers agents—with code you own.

What our partners say about us

Chris Gabriel

Chris Gabriel | Google

Lorena Barba

Lorena Barba | George Washington University

Dr. Juana Mendenhall

Dr. Juana Mendenhall | Morehouse College

Juile Diop

Juile Diop | MIT

Adam Tetelman

Adam Tetelman | Nvidia

Jason Dom

Jason Dom | American Public University System

Benjamin Breyer

Benjamin Breyer | Columbia University

Ken Fujiuchi

Ken Fujiuchi | SUNY

Erika Digirolamo

Erika Digirolamo | Monroe College

David Flaten

David Flaten | SUNY

David Vise

David Vise | Modern States Education Alliance

Linda Wood

Linda Wood | ARM Institute (U.S. Department of Defense)

Chris Gabriel

Chris Gabriel | Google

Lorena Barba

Lorena Barba | George Washington University

Dr. Juana Mendenhall

Dr. Juana Mendenhall | Morehouse College

Juile Diop

Juile Diop | MIT

Adam Tetelman

Adam Tetelman | Nvidia

Jason Dom

Jason Dom | American Public University System

Benjamin Breyer

Benjamin Breyer | Columbia University

Ken Fujiuchi

Ken Fujiuchi | SUNY

Erika Digirolamo

Erika Digirolamo | Monroe College

David Flaten

David Flaten | SUNY

David Vise

David Vise | Modern States Education Alliance

Linda Wood

Linda Wood | ARM Institute (U.S. Department of Defense)

Frequently Asked Questions