SofStack is a legal AI MVP development company building AI products for law firms, corporate legal teams and legal technology companies.
Legal work runs on documents, precedent and precise language, which makes it one of the strongest areas for AI. It also demands confidentiality and verified accuracy. We build legal AI MVPs that save lawyers time while keeping every output reviewable and every source traceable.
Who We Build Legal AI For
Law firms reducing time spent on review, research and drafting
Corporate legal departments handling high volumes of contracts and requests
Legal technology companies adding AI features to their platforms
Compliance and risk teams tracking policies and regulatory change
Legal process outsourcing providers scaling document review
Legal AI MVP Use Cases
Contract Review and Clause Extraction
Identify key clauses, flag deviations from your playbook and summarise risks across contract sets.
Due Diligence Support
Review data rooms faster with document classification, issue spotting and summary reports.
Legal Research Assistant
Answer questions from your precedents, knowledge bank and approved sources, with citations to each source.
Drafting Assistant
Generate first drafts of contracts, letters and memos from your templates and clause library.
Legal Intake and Triage
Classify incoming requests, collect key facts and route matters to the right team.
Regulatory Change Monitoring
Summarise new regulations and map them to affected policies and contracts.
Built to Avoid Hallucinated Citations
Incorrect citations and invented case law are the biggest risk in legal AI. We design against them directly.
Answers grounded in your sources with links to the exact passages used
Citation verification that checks every reference exists in the source set
Clear "no answer" behaviour when the sources don't support a conclusion
Lawyer review workflow before any output is relied on or sent
Evaluation sets built with your lawyers from real matters
Confidentiality and Privilege
No training on client data: enterprise model endpoints or self-hosted models
Matter-level access control so users only see documents they are permitted to see
Ethical wall support reflected in retrieval permissions
Audit logs of every query, document access and output
Deployment in your environment with data kept in your chosen region
NDA and full IP transfer before work begins
Integration With Legal Systems
System | Examples |
Document management | iManage, NetDocuments, SharePoint |
Practice management | Clio, Elite, Aderant, PracticePanther |
Contract management | Ironclad, DocuSign CLM, Agiloft, Icertis |
Collaboration | Microsoft 365, Outlook, Teams, Google Workspace |
Data rooms | Exports from Datasite, Intralinks and similar platforms |
How We Deliver Legal AI MVPs
1. Workflow discovery with partners, associates, knowledge lawyers and IT.
2. Source and permissions review of documents, templates and access rules.
3. Proof of concept on a sample matter or contract set, measured by your lawyers.
4. MVP build with integrations, citation checks, access control and review steps.
5. Supervised rollout to one practice group before wider adoption.
Legal AI MVP Pricing
Engagement | Starting price | Timeline |
Discovery | From $2,500 | 2 weeks |
Proof of Concept | From $5,000 | 3–4 weeks |
Legal AI MVP | From $18,000 | 8–12 weeks |
Dedicated AI Team | From $6,000/month | Monthly |
Pricing depends on document volume, integrations and permission requirements.
Frequently Asked Questions
Will client documents be used to train AI models?
No. We use enterprise model endpoints that do not train on your data, or self-hosted models inside your environment.
How do you prevent made-up case law?
Answers are grounded only in your approved sources, every citation is checked against those sources, and the assistant says when it cannot find support.
Can the AI respect ethical walls?
Yes. Retrieval follows your document permissions, so users only get answers from matters they are allowed to access.
Does AI replace lawyer review?
No. Our legal AI produces drafts, summaries and suggestions for lawyers to review and approve.
How much does a legal AI MVP cost?
SofStack legal AI MVPs start from $18,000, with a proof of concept from $5,000.
Build Your Legal AI MVP
Tell us which legal workflow takes your team the most time. We will propose a secure, verifiable approach and a starting engagement.