Services
Practical, hands-on legal technology work for small and medium firms — from tool adoption to directly executing the work itself.
Legal Tech Consulting
I help small and medium law firms adopt agentic AI tools such as Claude Code safely and effectively — then, where it makes sense, use those same tools to directly execute the paralegal-grade work: document review, chronology building, discovery bundling, and structured drafting. The goal is measurable time saved on routine work without compromising accuracy, privilege, or client confidentiality.
What's Included
- Agentic workflow design — reusable Claude Code skills and scripts tailored to your firm's document types and matter workflows
- Direct execution — discovery bundling, chronology extraction, redaction, bates numbering, and structured drafting run through agentic tools rather than by hand
- Practice management integration — output formatted to slot into your existing document management and billing systems, not a parallel one
- QA and hallucination auditing — every AI-drafted or AI-reviewed output checked against a stated verification methodology before it reaches a partner
- Staff training and change management — plain-English onboarding for lawyers and practice managers, not just IT
- Confidentiality-first deployment — data handling, retention, and isolated-processing options scoped to your privilege obligations
Capabilities
Claude Code, Model Context Protocol servers, and RAG pipelines, backed by Python/Bash scripting for document pipelines and batch processing.
Civil procedure, discovery, privilege, and standard document architecture — enough legal fluency to catch a wrong output before it reaches a partner.
An explicit, stated process for catching hallucinated citations and misquoted clauses — the single most reputation-damaging failure mode in legal AI.
Isolated processing, secure credential handling, and retention practices aligned to law firm compliance requirements.
How an Engagement Works
- Scoping Map your firm's current manual bottlenecks — bundle assembly, discovery review, chronology building, or similar.
- Pilot workflow Build and test one tailored agentic workflow against a real or redacted matter, measured against your existing time and cost baseline.
- Rollout & training Hand the workflow over with documentation, or continue running it as an ongoing engagement.
- Ongoing QA Periodic review of AI-assisted output accuracy, with the process refined as your matters evolve.
Confidentiality & Security
Client data is never used to train external models. Work is scoped to isolated environments, with local or self-hosted deployment options available on request. Standard credential handling and access-control practices apply throughout every engagement.
eDiscovery
Part 20 discovery obligations carry strict deadlines, and courts have zero tolerance for delay. We match the technology to the scale of your matter. For smaller cases, we utilize Claude Cowork to deliver fast, cost-effective review and bundling. For large, complex matters, we deploy an integrated stack: Nuix captures and processes data from every available source, feeding seamlessly into a RelativityOne database for targeted review, analysis, and discovery report generation.
The Process
- Identify — scope the categories of data and custodians in play
- Preserve — lock down data before it can be altered or lost
- Collect — Nuix gathers data from email, cloud storage, chat, mobile, and structured/unstructured sources across every custodian
- Process — Nuix processes and de-duplicates the collection, then loads it into a RelativityOne review database
- Review — first-pass relevance and privilege review inside RelativityOne, AI-assisted through TAR/CAL and aiR where volume warrants it
- Analyse — issue coding, chronology extraction, and case narrative building
- Produce — court- and regulator-compliant productions, including Federal Court eBooks / Format 1 bundles
Tools I Use
Fast, cost-effective review, chronology building, and bundling for smaller discovery sets — without the overhead of standing up a hosted review database.
Gathers and processes data from email, cloud storage, chat, mobile, and structured/unstructured sources with forensic accuracy, then feeds the collection into RelativityOne for review.
The database Nuix feeds into — where first-pass review, TAR/CAL, AI-assisted review (aiR), issue coding, and production happen on large, complex matters.
Custom Solution Development
Specialized AI instructions, RAG pipelines, automated document preparation systems, and forensic analysis workflows built around your firm's existing tools.