Own the source code. Deploy on your infrastructure. Run autonomous AI agents that protect privilege, eliminate vendor risk, and never expose client data.
ibl.ai is a production-grade AI platform — not a proof of concept, not a pilot, not a SaaS subscription. It is a complete, battle-tested system delivered as full source code, deployed on your infrastructure, serving 1.6M+ users across 400+ organizations worldwide.
Law firms and legal departments face a unique challenge: the same AI capabilities that drive efficiency can catastrophically compromise attorney-client privilege, violate ethical obligations, and expose confidential matter data if deployed carelessly. ibl.ai was built for exactly this environment — air-gapped, auditable, and owned entirely by you.
From autonomous document review agents that process thousands of exhibits overnight to conflict-checking pipelines that run without human prompting, ibl.ai deploys autonomous agents that reason, act, and execute — not chatbots that answer questions. Your data never leaves your perimeter. Your model choices remain yours. And if you never call us again, the platform keeps running.
1.6M+ users across 400+ organizations including NVIDIA, Kaplan, and Syracuse University. This is not a prototype — it is a platform with a live production track record across regulated, high-stakes environments.
You receive the complete codebase. No black boxes, no runtime dependencies on ibl.ai servers, no SaaS subscription that can be revoked. Your legal team and IT own the platform outright.
Run on your private cloud, on-premises data center, or a fully air-gapped environment with zero external network dependencies. Client data and matter information never leave your controlled perimeter.
Choose Claude, GPT-4, Gemini, Llama, Mistral, or your own fine-tuned legal model. Swap models as the landscape evolves without re-architecting your deployment or renegotiating contracts.
Because you own the source code and run the infrastructure, ibl.ai has zero leverage over your operations. The system runs indefinitely without our involvement — a critical requirement for firms managing long-horizon matters.
Every agent decision, document access, API call, and output is logged, timestamped, and reviewable. Meet bar association obligations, satisfy e-discovery requests, and demonstrate supervisory control over AI-assisted work product.
Deploy agents that ingest document productions, classify privilege status, flag responsiveness, and generate privilege logs — autonomously, overnight, at scale. Agents apply your firm's defined criteria, query your matter database, and surface exceptions for attorney review without manual triage.
Agents monitor assigned legal questions, query case law databases via MCP connectors, synthesize circuit splits, track recent rulings, and draft research memos — then route completed drafts to the supervising attorney. Research runs continuously, not just when a paralegal has bandwidth.
When a new matter intake form is submitted, an agent autonomously cross-references the prospective client, adverse parties, and related entities against your conflicts database, flags potential issues, queries corporate family trees via external APIs, and generates a conflicts report — before the intake meeting ends.
Agents process executed contracts, extract key dates, obligations, renewal triggers, and non-standard clauses, then populate your matter management system and calendar critical deadlines — without attorney intervention for routine extraction tasks.
Agents ingest deposition transcripts, cross-reference prior testimony against document productions, flag inconsistencies, generate impeachment outlines, and coordinate exhibit lists — executing a multi-step preparation workflow autonomously based on hearing date triggers.
Agents continuously monitor regulatory feeds, agency announcements, and legislative trackers relevant to your practice groups. When a relevant development is detected, agents draft client alerts, route them for partner review, and log the monitoring activity — running 24/7 without staff overhead.
Traditional chatbots answer questions. Autonomous AI agents take action, reason over context, and deliver measurable outcomes.
ibl.ai deploys autonomous AI agents that go beyond simple Q&A. Our agents reason, plan, and execute multi-step workflows while you retain full code ownership and infrastructure control.
The entire ibl.ai platform runs on your infrastructure with zero external network dependencies. No API calls to ibl.ai servers, no telemetry, no usage reporting. Client data, matter details, and work product never leave your controlled environment — satisfying the most stringent confidentiality requirements.
Unlike SaaS AI tools that log prompts, queries, and outputs on vendor servers, ibl.ai collects nothing. There is no telemetry pipeline, no usage analytics sent externally, and no mechanism by which client information can be exposed through platform operation.
Every agent action is logged: which documents were accessed, which model was called, what reasoning was applied, and what output was generated. Logs are stored in your environment, reviewable by your IT and compliance teams, and available for bar association inquiries or e-discovery requests.
Multi-tenant architecture enforces strict matter-level and practice-group-level data isolation. Attorneys see only the matters they are staffed on. Conflicts between client representations are enforced at the infrastructure level, not just the application layer.
Deploy on your existing on-premises servers, your firm's private cloud, or a dedicated cloud tenancy you control. Compatible with AWS GovCloud, Azure Government, and private data center environments. No shared infrastructure with other law firms or organizations.
Because you receive the full source code, your security team can audit every line for vulnerabilities, backdoors, or unexpected data flows. No trust-me-it's-secure black box. Your CISO can verify the platform's behavior independently before and after deployment.
You own the code. The platform runs indefinitely regardless of ibl.ai's business status, pricing decisions, or product roadmap changes. For firms managing matters spanning years or decades, this is not a nice-to-have — it is a fundamental operational requirement.
Your IT security team and outside auditors can review every line of code. Verify data handling, confirm no hidden telemetry, and satisfy client security questionnaires with evidence rather than vendor assurances. Critical for firms serving financial, government, and regulated industry clients.
Modify the platform to match your firm's workflows, integrate with your specific DMS, billing, and conflicts systems, and build practice-group-specific agent behaviors. You are not constrained by a vendor's product roadmap or feature request queue.
Run the platform in your data center, your private cloud, or a client-controlled environment for embedded legal department deployments. The code goes where your security requirements dictate — not where the vendor's infrastructure happens to be located.
SaaS subscriptions can be repriced, restructured, or discontinued. Source code ownership eliminates this risk entirely. Your investment in AI-powered workflows is protected regardless of market consolidation, vendor acquisition, or pricing changes.
ibl.ai delivers the complete source code and deploys the platform within your infrastructure — on-premises, private cloud, or air-gapped environment. We configure your chosen AI models, connect to your document management and matter systems via MCP, and establish role-based access aligned to your firm's structure. Your data never touches our servers at any point in this process.
Working alongside your practice group leaders, IT team, and professional responsibility counsel, we configure and build the specific autonomous agents your firm needs — document review pipelines, conflicts checking workflows, research agents, and contract analysis processes. We train your team on agent supervision, audit trail review, and workflow modification so your staff owns the system from day one.
You go live. Your team operates, maintains, and evolves the platform independently. Because you own the source code and run the infrastructure, you control every future change, model upgrade, and workflow addition. ibl.ai is available for ongoing support and development, but your operations have zero dependency on our continued involvement.
Autonomous document review agents process first-pass review, privilege logging, and responsiveness coding at a fraction of the per-document cost of associate or contract attorney review. On a 500,000-document production, this translates to hundreds of thousands of dollars in recoverable or reinvestable attorney time.
Agents compress standard legal research tasks from 8–12 associate hours to under 2 hours of agent-assisted work requiring attorney review and refinement. Across a busy litigation or transactional practice, this recaptures thousands of billable hours annually for higher-value work.
Automated conflicts checking agents eliminate the manual delay between client inquiry and matter clearance. Faster intake means faster engagement letters, faster matter opening, and a materially better client experience — particularly for time-sensitive transactional and litigation matters.
Agents process and extract obligations from executed contracts at a rate no human team can match. A portfolio of 1,000 contracts that would require weeks of paralegal time is processed, structured, and loaded into your matter management system in hours.
By automating routine research, document review, and drafting tasks, agents effectively increase the output capacity of each associate without increasing headcount. Partners can supervise more matters and more client relationships with the same team size.
AI tools that route client communications and matter data through third-party vendor infrastructure create genuine privilege waiver risks. Courts and bar associations are increasingly scrutinizing how firms handle client data in AI workflows.
ibl.ai's air-gapped deployment ensures all AI processing occurs within your controlled infrastructure. No client data, matter details, or work product traverses external servers. The complete audit trail documents supervisory attorney control over AI-assisted work product, supporting privilege and work product arguments.
Rule 1.1 requires competent use of technology, including understanding the benefits and risks of AI tools. Rule 1.6 requires reasonable measures to prevent unauthorized disclosure of client information. Using SaaS AI tools without understanding data handling may violate both.
Source code ownership and air-gapped deployment give your professional responsibility counsel full visibility into how the platform handles client data. The audit trail supports demonstration of competent, supervised AI use. Model-agnostic architecture allows firms to select models that meet their specific confidentiality risk assessments.
Multiple state bars have issued or are developing ethics opinions on attorney AI use, with common themes around confidentiality, supervision, disclosure, and billing. Requirements vary by jurisdiction and are evolving rapidly.
The complete audit trail — logging every agent action, data access, and output — provides the documentation infrastructure needed to demonstrate compliance with supervision requirements across jurisdictions. Role-based access and matter-level isolation support conflict and confidentiality obligations at the system level.
AI-assisted document review must be defensible. Courts increasingly require parties to disclose TAR and AI methodologies, validate review protocols, and demonstrate that privilege determinations were made under attorney supervision.
Every document reviewed, every privilege determination made, and every agent decision is logged with full provenance in your environment. This audit trail supports TAR validation, privilege log defensibility, and attorney supervision documentation required under FRCP and applicable case management orders.
See how ibl.ai deploys autonomous AI agents you own and control — on your infrastructure, integrated with your systems.