Legal — Family Law
Divorce cases expose everything.
Your AI tools shouldn't add to that exposure.
Family law generates some of the most personally sensitive data in any legal practice. Complete financial disclosures — income, debts, hidden assets, business valuations. Custody evaluations with psychological assessments of parents and children. Domestic violence declarations. Substance abuse records. Text message exhibits. Private investigator reports. This is data that clients are already terrified will become public through the court process — they shouldn't have to worry about it leaking through your AI tools too.
Beyond client data, your firm's own intelligence is at risk: which judges rule which way on custody, what settlement ranges you've achieved, how you structure high-asset cases. When this goes through a public API, you're giving away your competitive advantage. Private AI keeps both your clients' secrets and your firm's institutional knowledge inside your walls.
Your practice management tools are already adding AI features.
Clio, MyCase, PracticePanther, and CosmoLex are integrating AI into case management, billing, and document handling. Family-law-specific tools like OurFamilyWizard and TurboTenant handle co-parenting coordination and financial tracking. These platforms serve core workflows well. What they don't do: give your attorneys a private AI capability that can reason across your firm's complete case history — settlement patterns, judicial tendencies, financial analysis templates — without sending that data through someone else's cloud. We build what fits in the gaps around your existing stack.
The Case
Why in-house AI matters for a family law practice.
Predictable costs
Family law cases generate enormous document volumes — financial disclosures, custody evaluations, correspondence. Per-query AI pricing scales with that volume. Private infrastructure is a fixed cost with no usage meters and no per-seat licensing.
Model stability
Custody disputes and financial negotiations depend on consistent analysis. A model that changes its behavior between filings introduces inconsistency into declarations, valuations, and strategy memos. Private models stay stable until you choose to upgrade.
Data portability
Financial disclosures, children's records, mental health evaluations, and domestic violence allegations belong to your client's case — not to a vendor's cloud. Private infrastructure keeps that data under your control with no third-party retention policies to worry about.
Upgrade path
Family law firms that leverage AI for document analysis and case preparation will handle more cases with fewer errors. Private infrastructure lets you adopt better models as they emerge, on your timeline, without vendor lock-in.
Capabilities
What we build for family law firms.
Financial disclosure analysis
Private processing of income declarations, business valuations, tax returns, and asset schedules. Identify inconsistencies, flag undisclosed assets, and cross-reference across filings — without financial data leaving your network.
Case knowledge base
A private RAG system over your firm's case history, judicial preferences by department, local rules, and past settlement outcomes. Attorneys query it in natural language to inform strategy — grounded in your firm's actual experience.
Declaration and motion drafting
AI-assisted drafting of declarations, motions, and settlement proposals grounded in case facts and your firm's templates. All processing stays local — no personal or family details routed through third-party services.
Custody and evaluation review
Summarize and analyze custody evaluations, parenting plans, and psychological assessments. Flag key findings, track modification history, and prepare hearing materials — all on your infrastructure.
Every family law practice handles different pressures.
Case mix, court jurisdictions, team size, and the technology you already use all shape what makes sense. We start with a conversation about your practice — not a product pitch.