Software Development for Legal and Compliance E-Discovery, CLM & RegTech
LegalTech, e-discovery, contract automation, matter management, regulatory compliance, and AI-assisted legal workflows. SOC 2 Type II and ISO 27001 ready. Shipped in 10 to 20 weeks. USD pricing.
We tell you what privilege, retention, and confidentiality work is needed before any code ships.
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Who we've built for.
How we work in legal
- What we build
- E-discovery · Contract automation · Matter management · Compliance · RegTech · Legal AI · IP management · Litigation support
- Stack
- Next.js · Node.js · Python · PostgreSQL · AWS · pgvector · LangChain · OpenAI · Elasticsearch
- Compliance
- SOC 2 Type II · ISO 27001 · GDPR · CCPA · CLOUD Act · EDRM · HIPAA (legal-medical) · Privilege handling
- Integrations
- Microsoft 365 · Google Workspace · NetDocuments · iManage · DocuSign · Relativity · Clio · Litera · Ironclad
- Pricing in USD
- Starter build from $11,000 · Matter management or CLM module from $28,000 · AI-assisted legal platform from $42,000
- Output
- Production platform · document workflow · audit logs · runbook · on-call coverage
Legal software is where confidentiality, retention, and chain-of-custody requirements run head-on into modern productivity expectations. Lawyers want Salesforce-grade UX with documentation that holds up in a deposition. This page covers what makes legal builds different, the segments we serve, what privilege and retention mean at the data layer, the named clients we have shipped for, and what every category typically costs.
Named legal builds
Recent legal and compliance builds.
Regulated workflow with audit-grade documentation and partner approval flow.
Read case study →AI-assisted compliance platform with context grounding and audit logging.
Read case study →Regulated reseller workflow with retention rules and compliance reporting.
Read case study →Legal segments we serve
E-discovery and litigation support
Document collection, processing, review, production. ECA (early case assessment). Predictive coding and TAR (technology-assisted review). EDRM-aligned workflow.
Contract lifecycle management (CLM)
Drafting, negotiation, approval workflow, signature via DocuSign or Adobe Sign, repository, obligation tracking, renewal automation.
Matter management
Matter intake, conflict checking, time and expense tracking, document management, financial reporting, client portal.
Compliance and policy management
Policy library, attestation tracking, training, control testing, audit response, regulatory change tracking.
RegTech and regulatory reporting
Regulatory filing automation, transaction monitoring, sanction screening, beneficial ownership, audit-ready reporting.
Legal AI and document intelligence
Contract analysis, clause extraction, due diligence document review, RAG over precedent library. Citation-first with human review baked in.
IP and trademark management
Portfolio tracking, deadline management, filing automation, prior-art search.
Litigation finance and case analytics
Matter scoring, outcome prediction, valuation models, portfolio dashboards.
Related services: Custom Software Development, AI & Machine Learning, AI-Powered Software, API Integration, Automation Platforms, Security Audit, Data Pipeline Engineering.
Use cases — concrete examples with cost ranges
Contract lifecycle management (CLM) platform
Drafting with template library and clause library. Negotiation with redline tracking. Approval workflow with conditional logic. Signature via DocuSign. Repository with obligation extraction and renewal alerts. Stack: Next.js plus Node.js plus PostgreSQL plus DocuSign. Typical build 12 to 18 weeks. From $17,000 depending on template library scope and obligation tracking depth.
Matter management platform
Matter intake with conflict check. Time and expense tracking. Document management with privilege boundaries. Financial reporting with billable-hour rollups. Client portal with matter-scoped access. Stack: Next.js plus Node.js plus PostgreSQL plus NetDocuments or iManage. Typical build 14 to 20 weeks. From $28,000 depending on financial reporting complexity and existing system integration.
AI document review platform
Bulk document ingestion. OCR for scanned documents. Clause extraction via LLM with citation. Privileged document detection. Production set assembly. Audit log of every AI query. Stack: Python ingestion plus pgvector plus Azure OpenAI plus Elasticsearch. Typical build 10 to 16 weeks. From $17,000 depending on document volume and AI model complexity.
Compliance and policy management
Policy library with version control. Attestation tracking. Training assignment and completion. Control testing workflow. Audit response and evidence collection. Regulatory change tracking with impact assessment. Typical build 10 to 14 weeks. From $17,000 depending on regulator count and existing GRC integration.
Why legal software is different
Legal builds carry three costs that a standard SaaS does not. First, privilege and confidentiality: attorney-client privileged communications and work product require segregation, access controls, and audit trails that survive litigation discovery. A misconfigured access list can waive privilege. Second, retention and disposition: legal data lives under matter-driven retention schedules. Some documents must be kept for 7 years, some forever, some destroyed at matter close. The platform has to enforce this, not rely on lawyer discipline. Third, AI risk in legal: legal AI that hallucinates citations causes sanctions. AI used in legal workflows requires guardrails, attribution, and human-in-the-loop review that most off-the-shelf tools do not provide. We design legal builds around three principles. Treat privilege as a row-level access control problem, not a folder-level convention. Build retention and legal-hold workflows as platform features that enforce policy, not as documentation that lawyers are expected to follow. Make every AI output traceable to source material so the lawyer can verify before they cite.
Implementation roadmap
Five-phase rhythm for legal builds. Privilege model designed before any code is written.
Discovery and privilege scope (2 weeks)
Matter hierarchy. Privilege boundaries. Retention schedules. Output: data classification matrix plus retention schedule.
Architecture and access-control design (1 week)
Row-level security model. Audit log spec. AI guardrail design if applicable. Output: ADR plus access control matrix.
Build (8 to 14 weeks)
Two-week sprints. Lawyer co-design on review and approval surfaces. Test coverage gate on privilege and retention services.
Compliance and accessibility validation (2 weeks)
Penetration test. Access control matrix verification. WCAG 2.2 AA audit. AI output traceability test for legal AI features.
Launch and dual on-call (1 week plus 2 weeks)
Production deploy. Monitoring. On-call rotation. Runbook with privilege incident response playbook delivered.
Tech stack and architecture
Default legal stack. Each layer chosen for confidentiality, audit-readiness, and AI traceability.
- Front end: Next.js with TypeScript. Optimised for desk and review use. WCAG 2.2 AA accessibility baseline.
- Application layer: Node.js or Python (FastAPI). Stateless services behind API gateway. Per-matter access control enforced at the data layer, not the application layer.
- Data layer: PostgreSQL with row-level security for per-matter access. pgvector for semantic search over documents. Elasticsearch or OpenSearch for full-text. S3 for document storage with object lock for legal hold.
- AI layer: Azure OpenAI Service or AWS Bedrock with data residency control. RAG over your matter and precedent library. Every output traceable to source documents.
- Document and signature: DocuSign, Adobe Sign, Dropbox Sign for execution. Microsoft 365 or Google Workspace for collaboration. NetDocuments or iManage for document management.
- Audit layer: Immutable audit log for every document access, every AI query, every export. Available to compliance team and litigation defence team.
- Cloud: AWS or Azure. Data residency configured per matter (US, EU, UK, AU). KMS-backed encryption with customer-managed keys for sensitive matters.
Compliance and audit readiness
Every legal build ships with the controls and documentation auditors, regulators, and opposing counsel expect. SOC 2 Type II for SaaS controls. ISO 27001 for information security management. GDPR for EU client data. CCPA and CPRA for California. CLOUD Act considerations for cross-border data. EDRM compliance for e-discovery workflows. Privilege handling enforced at the row-level access control layer. Retention schedules enforced via lifecycle rules with legal-hold override that suspends destruction. WCAG 2.2 AA accessibility baseline because ADA litigation in legal-services SaaS has accelerated since 2024.
Cost drivers we see in legal builds
Legal build cost ranges meaningfully. These are the seven drivers we see push or pull on the number.
- Privilege model complexity. Single-firm single-matter is straightforward. Multi-firm with ethical walls and cross-matter privilege adds 25 to 40 percent.
- AI in the workflow. Non-AI is the baseline. AI document review with citation, audit trail, and human-in-the-loop adds 30 to 50 percent and ongoing model governance.
- Existing DMS integration. Greenfield is fast. NetDocuments or iManage integration with bi-directional sync and DMS-side retention adds 20 to 35 percent.
- Multi-region data residency. Single-region is the baseline. EU plus US plus UK with per-matter residency adds 20 to 30 percent.
- E-discovery production volume. Sub-100,000 documents is fast. Multi-million documents needs distributed processing, OCR pipeline, and TAR workflow engineering.
- Financial reporting complexity. Basic billable-hour rollup is cheap. Multi-currency, retainer accounting, trust accounting, and IOLTA compliance adds 25 to 40 percent.
- Regulatory reporting count. One regulator is fast. Multi-regulator with format-per-regulator adds 15 to 25 percent.
Pricing
Legal MVP
From $11,000
- Single workflow, one integration, privilege-boundary baseline.
- 10 to 14 weeks.
Matter management or e-discovery module
From $28,000
- Single firm, single jurisdiction, off-the-shelf DMS integration.
- 12 to 18 weeks.
CLM platform
From $23,000
- Drafting, negotiation, approval, signature, repository.
- 14 to 20 weeks.
AI-assisted legal platform
From $42,000
- Document review, clause extraction, citation-first AI with audit.
- 14 to 22 weeks.
Compliance and policy management
From $17,000
- Policy library, attestation, training, control testing.
- 10 to 14 weeks.
Maintenance retainer
From $3,250 / month
- On-call cover, dependency upgrades, AI model drift monitoring, regulatory change tracking. SLA-backed.
Legal trends shaping 2026 builds
Six legal-software shifts shaping 2026 builds.
- Citation-first legal AI moving to default. Lawyers will not accept AI output without traceable source. Builds default to RAG with citation, audit trail, and confidence scoring.
- Contract intelligence broadening past CLM. Clause extraction, obligation tracking, and contract analytics embedded in matter management and compliance platforms, not standalone CLM.
- Embedded e-discovery in matter management. ECA, deduplication, and early review embedded in matter platforms rather than handed off to Relativity for early stages.
- AI risk and model governance. Legal teams want AI usage policy, model versioning, decision audit, and hallucination monitoring as platform features.
- Cross-border data residency tightening. CLOUD Act, EU AI Act, and UK Data Use rules pushing builds toward per-matter residency configuration.
- Generative AI for drafting. Pleadings, memos, contract first drafts. Used as assistance with mandatory lawyer review, not as autonomous drafting.
FAQ
Row-level access control enforced at the database layer. Ethical walls modeled as access policies that cross matter and user boundaries. Every document access logged. Privilege incident response runbook delivered as part of launch.
Yes. Bi-directional sync with metadata mapping. Retention rules respected on both sides. Search federated across DMS and your platform. Most engagements involve at least one DMS integration.
Yes. EDRM workflow stages: identification, preservation, collection, processing, review, analysis, production. Integration with Relativity or standalone build depending on volume and scope.
Yes. RAG over your matter and precedent library. Every output traceable to source documents with page-level citation. Hallucination monitoring. Lawyer-in-the-loop review baked in. We do not deploy autonomous citation generation.
Yes. Trust account separation, three-way reconciliation, IOLTA compliance reporting. Integration with QuickBooks, Xero, or law-firm financial systems (3E, Aderant, ProLaw).
Yes. Matter-level data residency. Per-jurisdiction retention rules. Multi-language support where required. Court filing integration via PACER, CM/ECF, or state e-filing systems.
Lifecycle rules per matter and per document class. Legal hold suspends destruction. Hold notice workflow with attestation tracking. Hold release workflow with documentation for litigation defence.
All three. Solo and small firm typically off-the-shelf Clio extensions. Mid-market: custom matter management or CLM. AmLaw: enterprise platforms with multi-firm and multi-region complexity.
Yes. DocuSign, Adobe Sign, Dropbox Sign for execution. eIDAS-compliant signatures for EU. SES, AES, QES tiers supported. Audit trail and certificate of completion stored as document of record.
Per-matter data residency. Customer-managed keys (KMS) for highly sensitive matters. Cross-border transfer logged. CLOUD Act risk surfaced in the data classification matrix at discovery.