About the Role
We are hiring a Technical Lead to lead the engineering effort for replat forming and evolving a suite of proprietary tools that power differentiated eDiscovery client delivery — spanning insight generation from large-scale data sets and mobile data review.
This is a hands-on leadership role. You will be one of the primary builders; setting technical direction, establishing engineering standards, and driving execution while staying close to the code. You will work in close partnership with the Product Manager to translate vision into a working, scalable product, and will continue to own and grow the technical foundation as the suite expands.
About the Team
This role sits within the Platforms and Partnerships group at AlixPartners, alongside experienced product managers and engineers building across the full product development lifecycle. You will not only build products but help establish engineering excellence within a Risk Advisory practice spanning eDiscovery, digital forensics, and beyond — bridging startup-grade engineering craftsmanship with the rigor of a world-class advisory firm.
What You’ll Do
- Lead engineering on the replat forming of a suite of eDiscovery tools — serving as the primary technical decision-maker on architecture, infrastructure, data modelling, and integrations.
- Architect and build migration of an analytics tool from desktop to a modern web-based platform, including ingestion pipelines for email data (Reveal RDM) and mobile data (Cellebrite).
- Drive the technical evolution of a document review tool from a platform-hosted experience to a standalone application integrating with Relativity via API, with a path to supporting additional review platforms.
- Establish engineering foundations from scratch: CI/CD, testing infrastructure, deployment practices, coding standards, and security posture.
- Partner with the Product Manager to sequence work, scope complexity, and surface trade-offs — ensuring architectural decisions serve both near-term delivery and long-term platform goals.
- Build and grow the engineering team, hiring and mentoring engineers while cultivating a culture of craft and pragmatism.
What We’re Looking For
Required
- 10+ years of software engineering experience, with meaningful time spent in legal technology, eDiscovery, or adjacent compliance/investigations domains.
- Deep, hands-on expertise with Relativity custom development: you have built custom applications, integrations, or workflows on Relativity — you know its data model, APIs, and review workflows inside out.
- Proven ability to build from scratch: you have served as a founding or lead engineer on at least one greenfield product, making early architectural decisions that defined it for years.
- Strong command of modern web application architecture — you can design and implement a scalable, full-stack application including cloud infrastructure, APIs, and data pipelines.
- Experience designing large-scale data ingestion and processing pipelines, including handling schema variability, deduplication, and transformation at scale.
- Startup mindset: comfortable with ambiguity, able to move quickly, and skilled at making pragmatic architectural decisions that balance speed with long-term soundness.
Strongly Preferred
- Experience building integrations with Reveal (formerly Brainspace) or its RDM data processing platform.
- Experience with Cellebrite exports or similar mobile forensic data — format variability, conversation threading, metadata complexity, and chain-of-custody considerations.
- Experience leading a platform migration or technical debt reduction initiative — rebuilding the plane while keeping it in the air.
- Hands-on experience with desktop-to-web migrations, including architectural patterns, performance considerations, and UX implications.
- Experience working in or alongside an eDiscovery managed services or consulting practice, where end users are practitioners with high-stakes workflow needs.
Nice to Have
- Familiarity with analytics or insight-generation techniques applied to unstructured legal data — NLP, clustering, entity extraction, or similar.
- Experience building multi-tenant SaaS applications or transitioning single-tenant tools to a shared-infrastructure model.
- Background in data security and chain-of-custody requirements within litigation or investigations contexts.
- Experience introducing modern engineering practices (CI/CD, automated testing, observability) in organizations new to formal software development.