Legal Software Development
Built by Engineers Who Understand Law

Custom legal software development typically costs between $5,000 and $50,000+ depending on scope. A single-purpose tool like a document generator or intake form runs $5,000 to $15,000. A multi-feature platform with case management, multiple integrations, and compliance requirements runs $15,000 to $50,000. Enterprise systems with AI capabilities, multi-office deployment, and custom API ecosystems start at $50,000. Every project gets a fixed-price quote after a discovery phase.

Yes. We integrate with all major legal practice management systems including Clio, MyCase, PracticePanther, and Smokeball through their APIs. We also integrate with document management systems like NetDocuments and iManage, court e-filing systems, and any tool that exposes an API or supports webhook-based integrations.

A single-purpose legal tool (document generator, intake form, billing integration) takes 4 to 8 weeks. A multi-feature legal platform with case management and multiple integrations takes 3 to 6 months. Enterprise systems with AI capabilities and complex compliance requirements take 6 to 12 months. Every project includes bi-weekly demos so your team can test and provide feedback throughout development.

Legal workflow automation replaces manual, repetitive tasks in a law firm with software that runs those tasks automatically. Common examples include automated document assembly from templates, client intake forms that feed directly into case management, deadline tracking that sends reminders to assigned attorneys, billing that auto-generates invoices from time entries, and compliance monitoring that flags regulatory changes. The goal is to let legal professionals spend time on work that requires legal judgment instead of tasks a computer can handle.

Yes. We build AI-powered legal software using proprietary pipelines that combine large language models, natural language processing, and document scanning technology. Practical applications include contract clause extraction and comparison, document classification for e-discovery, automated summarization of depositions and transcripts, and intake form processing from scanned documents. Every AI feature includes human review workflows because AI assists legal work but does not replace legal judgment.

Every legal software project we build follows compliance requirements appropriate to the data it handles. For firms dealing with health-related legal matters, we build to HIPAA standards (encryption, access controls, audit logging, BAA requirements). For general data security, we follow SOC 2 principles. State bar requirements for client data retention and confidentiality are built into the data architecture from the start. Compliance is not a feature we add before launch. It is part of the system design from the first architecture decision.

We have built legal software for personal injury firms (intake automation, demand letter generation, medical record processing), corporate and M&A practices (contract review, due diligence document management), immigration law offices (form auto-population, case status tracking, client portals), family law practices (financial disclosure automation, custody scheduling tools), and criminal defense firms (discovery management, plea analysis tools). Every practice area has different document types, workflow patterns, and compliance requirements. We build for the specific practice, not for a generic law firm.