DOOR3 provides AI services for law firms that need more than another standalone tool. We design, build, and integrate secure AI solutions across document review, legal research, intake, matter management, and firm operations. Our work connects AI with your existing systems, data, and review processes so attorneys can reduce repetitive work without giving up control of legal decisions.
Accelerate legal operations by embedding AI into your most time-consuming processes:
Leverage LLMs to understand, summarize, and act on your document corpus:
A structured evaluation of the firm’s existing systems, workflows, and data maturity to identify high-impact AI opportunities. Includes a prioritized roadmap aligned with operational goals, timing, and risk appetite.
Deliverables: Executive summary, AI readiness analysis, and kickoff workshop.
Rapid development of a targeted AI prototype (e.g., smart contract review, intelligent intake, or legal assistant interface) to validate impact before broader investment. Engagement is designed to demonstrate ROI and reduce uncertainty.
Deliverables: Functional prototype, measurement framework, and executive playback session.
End-to-end platform development — from opportunity discovery through deployment — of secure, scalable, and compliant AI-powered legal systems. Designed for seamless integration with existing infrastructure and long-term maintainability.
Deliverables: UX and technical architecture, full platform build, compliance alignment, and post-launch support.
Focused review of your firm’s current systems to uncover bottlenecks, missed automation opportunities, and low-effort, high-impact AI use cases. Ideal for teams seeking quick improvements without a full rebuild.
Deliverables: Audit report, prioritization matrix, and recommended implementation roadmap.
60% of attorney time goes to tasks that don't require a law degree.
AI changes that equation — without replacing the judgment that matters.
Real-world applications of AI across legal workflows — grounded in proven patterns from litigation, transactional, and legal operations environments.
Accelerate large-scale document review without sacrificing accuracy.
AI reviews, classifies, and prioritizes thousands of documents for relevance, privilege, and confidentiality. Built-in redaction and risk detection reduce manual effort and review cycles across litigation and investigations.
Move faster on transactions and contract-heavy work.
AI extracts key clauses, flags risks, and compares agreements against playbooks and standards. Legal teams review more contracts in less time while maintaining consistency across M&A, commercial, and vendor agreements.
Find relevant authority faster and build stronger strategies.
AI-assisted research surfaces cases, statutes, and precedents with contextual relevance. Pattern analysis across rulings, judges, and opposing counsel supports better-informed litigation and settlement decisions.
Reduce administrative overhead and improve firm-wide visibility.
AI automates intake, matter routing, conflict checking, and time capture while feeding real-time dashboards for caseloads, utilization, and billing. Legal teams spend less time on admin and more time on high-value work.
While your firm debates AI adoption, competitors are already winning deals with it. Here's what the competitive gap looks like — and how to close it.
Selected case studies demonstrating DOOR3’s ability to deliver complex legal systems, forming the foundation for responsible AI adoption.
Cadwalader
Challenge
Fragmented internal communication across global offices.
DOOR3 Solution
Award-winning intranet with secure document access, team collaboration, and a unified design system.
Everlink (Everest)
Challenge
To design and build an efficient, and seamless front end portal for workers compensation platform
DOOR3 Solution
An intuitive, focused interface that drives in-portal usage and submission
Patrick Quinn, Managing Partner, Cadwalader
Our approach moves legal AI from a practical use case to a secure, working solution.
Phase 1
We examine how work moves through the firm, where information lives, and which processes create delays or unnecessary effort.
Phase 2
Opportunities are ranked by business value, technical feasibility, risk, and expected impact.
Phase 3
We build or configure a focused solution to test its performance before committing to wider implementation.
Phase 4
The solution is connected to relevant document, matter management, billing, and knowledge systems.
Phase 5
We evaluate accuracy, data protection, access controls, auditability, and attorney-review requirements.
Phase 6
After launch, we train users, monitor performance, and refine the solution as the firm’s needs evolve.
Legal AI must protect client information without weakening the controls law firms already rely on. DOOR3 builds security and governance into the solution architecture, data flows, and review process from the beginning.
Clear rules for where information is processed, stored, retained, and whether it can be used to train external models.
Role-based permissions limit sensitive matter data to authorized users and systems.
AI responses can be tied to approved legal sources, firm knowledge, and underlying documents for easier verification.
Attorneys review AI-assisted drafts, research, recommendations, and client-facing communications before they are used.
Logging and version histories help firms trace inputs, outputs, approvals, and system activity.
Performance, security, and accuracy are monitored as workflows, models, and professional obligations evolve.
“The fastest-growing firms nearly doubled revenue over four years while growing their client base by only 50%. They didn't hire. They automated.”
— Clio 2025 Legal Trends Report
DOOR3 combines legal workflow expertise, AI strategy, and technical delivery to build solutions that work within a firm’s existing operations.
We understand how legal work moves across document, matter management, billing, knowledge, and eDiscovery systems.
The same team can assess opportunities, define the roadmap, build the solution, and support deployment.
Recommendations reflect the firm’s workflows, data, risk requirements, and business goals.
We integrate AI with the firm’s existing technology to create a coordinated legal workflow.
Senior experts remain involved throughout the engagement and key technical decisions.
Data controls, human review, and accountability are built into the workflow from the beginning.
DOOR3 helps move solutions from an initial prototype to a secure, maintainable production environment.
DOOR3 provides AI strategy, opportunity assessment, workflow automation, custom AI development, systems integration, governance, and implementation support for law firms. Engagements can cover document review, legal research, intake, knowledge management, matter pricing, reporting, and other operational workflows. The service can begin with a focused proof of value and continue through production deployment, user training, monitoring, and optimization.
AI can connect with document management, matter management, billing, CRM, eDiscovery, contract lifecycle, and knowledge systems through APIs, connectors, or a custom integration layer. DOOR3 maps how data moves between platforms, defines access permissions, and embeds AI into existing review steps. This allows attorneys and staff to use new capabilities within familiar tools and established workflows.
The right choice depends on workflow complexity, available products, integration requirements, data sensitivity, and long-term ownership goals. An existing platform may suit common tasks such as research or contract review. Custom development makes more sense when the firm needs proprietary workflows, specialized data access, or deeper system integration. DOOR3 evaluates build, buy, and hybrid options before recommending an approach.
We map where client and matter data is stored, processed, transmitted, and retained before implementation begins. Security measures can include restricted model access, role-based permissions, encryption, private deployment, retention controls, audit logs, and vendor data-use restrictions. Human review and documented approval steps help preserve professional accountability when AI-generated material contributes to legal work or client communication.
Timelines depend on scope, data readiness, integration complexity, security requirements, and the number of workflows involved. A focused assessment or proof of value may take several weeks, while a production system with multiple integrations can require several months. DOOR3 defines milestones, dependencies, testing requirements, and success measures at the start of the engagement to establish a realistic delivery plan.
Begin with repetitive, high-volume work that follows clear rules and allows attorney review. Strong candidates often include document intake, classification, contract clause extraction, knowledge retrieval, billing support, matter routing, and standard document drafting. Each opportunity should be assessed for expected value, data availability, implementation effort, risk, and the amount of professional judgment required.
ROI should be measured against the firm’s existing baseline. Useful metrics include time per task, turnaround time, cost per matter, review volume, error or rework rates, utilization, adoption, and client response time. DOOR3 defines these measures before implementation and compares performance after deployment, allowing the firm to evaluate financial impact, operational improvement, and scalability.
Yes. Attorneys should review AI-assisted research, drafts, recommendations, and client-facing content whenever the work requires legal judgment or professional accountability. The workflow should define which outputs require approval, who performs the review, and how that decision is recorded. Lower-risk administrative tasks can use proportionate controls, while legal conclusions and final deliverables remain subject to qualified human oversight.
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