Industry Solutions · Legal Tech

Legal tech platforms that lawyers actually use

  • Product and platform engineering for case management, e‑billing, and document automation
  • Applied AI for document review, clause extraction, and workflow automation with strong guardrails
  • Flexible delivery: outcome-based projects or dedicated squads that extend your product and engineering teams

When our legal tech experience is a strong fit

We’re most effective when you’re scaling beyond early pilots and need to deliver robust, enterprise-ready products.

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.

You’re selling into security-conscious law firms or enterprises

Your buyers demand rigorous security, auditability, and data residency guarantees, and your roadmap needs to reflect that.

Your core platform needs modernization to keep pace

Legacy architecture, brittle integrations, or slow release cycles are limiting your ability to ship new legal workflows.

You need additional product and engineering capacity

Your internal teams are at capacity and you need a seasoned squad that can plug into your stack and ways of working quickly.

You want clearer ROI stories for legal buyers

You’re looking to instrument your product and surface measurable time savings, risk reduction, and spend insights for legal stakeholders.

You’re expanding into new legal segments or regions

You’re entering adjacent practice areas or geographies and need to adapt workflows, integrations, and compliance posture accordingly.

Example use cases

Where we help legal tech teams move faster

Legal Tech

AI-assisted contract review for commercial teams

Designed and implemented clause extraction, risk scoring, and playbook suggestions within an existing contract lifecycle platform, reducing review time for standard agreements by over 40%.

Legal Tech

Modernizing a legacy case management platform

Re-architected a monolithic case management system into modular services with improved search, document handling, and role-based access, enabling faster feature delivery and enterprise deals.

Legal Tech

Automated document intake and triage for law firms

Built an intake pipeline that classifies inbound documents, extracts key entities, and routes matters to the right teams, cutting manual triage effort and improving SLA adherence.

Legal Tech

E‑billing and matter analytics for in‑house counsel

Delivered a reporting and analytics layer on top of e‑billing data, surfacing spend anomalies, rate compliance, and panel performance to support data-driven negotiations.

Legal Tech

Secure collaboration for sensitive legal workflows

Implemented granular permissions, audit trails, and encrypted document sharing to support cross‑firm collaboration while meeting stringent confidentiality and compliance requirements.

Our approach

A delivery model tuned for legal tech realities

We combine product thinking, secure engineering, and applied AI expertise to help you ship features that legal teams trust and adopt.

01

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.

02

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.

03

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.

04

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.

05

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.

Business Outcomes

  • Faster delivery of differentiated, AI-enabled legal workflows.
  • Platforms that meet enterprise security and compliance expectations.
  • Higher adoption and stickiness with law firm and in‑house users.
  • Reduced delivery risk through proven patterns and reference architectures.
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Fabrice Campoy
Fabrice Campoy
Vice President, Schneider Electric

“Autolayer helped us unify our partner reporting across Africa. Their team is relentless about solving the tough problems.”

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