You’re moving from PoC to production with AI features
You have promising AI experiments in areas like document review or clause extraction and need to industrialise them for real client usage.
We’re most effective when you’re scaling beyond early pilots and need to deliver robust, enterprise-ready products.
You have promising AI experiments in areas like document review or clause extraction and need to industrialise them for real client usage.
Your buyers demand rigorous security, auditability, and data residency guarantees, and your roadmap needs to reflect that.
Legacy architecture, brittle integrations, or slow release cycles are limiting your ability to ship new legal workflows.
Your internal teams are at capacity and you need a seasoned squad that can plug into your stack and ways of working quickly.
You’re looking to instrument your product and surface measurable time savings, risk reduction, and spend insights for legal stakeholders.
You’re entering adjacent practice areas or geographies and need to adapt workflows, integrations, and compliance posture accordingly.
We combine product thinking, secure engineering, and applied AI expertise to help you ship features that legal teams trust and adopt.
Discover real workflows and constraints
We work with product, legal, and customer teams to map current workflows, risk tolerances, data flows, and integration points across firms and in‑house departments.
Shape a compliant, adoptable solution
We define target experiences, data and security architecture, and AI usage patterns that respect confidentiality, privilege, and regulatory requirements while fitting existing tools.
Build and integrate with your core platform
Cross-functional teams design, develop, and test features, APIs, and AI components, integrating with DMS, CLM, e‑billing, and identity systems used by your customers.
Harden for scale, security, and audits
We implement role-based access, logging, encryption, and monitoring, and support you in meeting SOC2, ISO, and client security questionnaires without slowing delivery.
Roll out, measure, and iterate
We support pilots, user onboarding, and success metrics, then iterate based on adoption, NPS, and usage patterns to drive renewals and expansion.
A practical roadmap for executives launching enterprise-scale AI initiatives—covering governance, architecture, success metrics, and change management.
Autolayer
AI Adoption in 2025:
A Practical Framework for Enterprise-Scale Impact
Includes governance playbooks, rollout sequencing, and lessons from Fortune 500 launches.
Fresh perspectives on technology, product delivery, and enterprise transformation.
We help companies and individuals build out their brand guidelines.

“Autolayer helped us unify our partner reporting across Africa. Their team is relentless about solving the tough problems.”
Stay ahead with Autolayer
Short, useful emails on building and scaling digital products — from architecture patterns and delivery playbooks to real-world lessons from our work with engineering teams.