Legal

Your practice sits on an enormous amount of data. Make it an asset.

Turn the mountain of data a legal practice generates (matters, documents, discovery, billing) into a governed data platform that drives analytics, AI, and better decisions.

Sound familiar?

Enormous volumes of documents and matter data, almost none of it queryable

E-discovery and review costs scale with data volume and never come down

No analytics on matter profitability, realization, or outcomes

Knowledge walks out the door because the firm's own work product isn't searchable

AI is on everyone's agenda, but there's no governed data foundation to build it on

Client and matter data is siloed across systems that don't share a model

A law practice generates an extraordinary amount of data: every matter, document, email, discovery set, time entry, and invoice. Almost none of that is usable at scale. It sits in document systems, practice management, discovery platforms, and billing, each with its own model, none of them talking. The result is a firm that runs on the most data-rich raw material imaginable and can’t answer basic questions about its own profitability, outcomes, or knowledge.

This is a big-data problem, and it’s where the payoff hides. The firms pulling ahead treat their data as an asset. They stand up a governed platform that makes matters, documents, and financials queryable. They run analytics that show which work and which clients actually make money. They architect e-discovery that scales without linear cost, and they build a foundation solid enough to put AI on top responsibly.

We build that foundation and the capabilities on top of it, with the confidentiality, privilege, and governance the profession demands designed in, not bolted on.

Where we help

Data platform & architecture. A governed platform that unifies matter, document, discovery, and financial data into something you can actually query and build on.

Practice analytics. Reporting and analytics on matter profitability, realization, staffing, and outcomes: the numbers that should drive how the firm is run.

E-discovery at scale. Architect discovery and review so cost and effort don’t grow linearly with data volume.

Knowledge & search. Make the firm’s own work product searchable so expertise compounds instead of walking out the door.

Governed AI. A trustworthy data foundation for AI and LLM-based tools (document intelligence, drafting support, research) with governance and privilege handled correctly.

How we work

We start by mapping your data estate. From there we design a governed platform and analytics architecture, then build the pipelines, insight, and AI on top. The goal is to turn the data you already generate into a durable competitive advantage.

How we work

1

Assess the data estate

We map where your data lives (practice management, document systems, discovery, billing) and what it would take to make it usable at scale.

2

Architect the platform

We design a governed data platform and analytics architecture, with the privacy, retention, and privilege controls the profession requires built in from the start.

3

Deliver insight and AI

We build the pipelines, analytics, and (where it fits) the AI/LLM capabilities on top, and leave your team with a platform they can grow.

What we help you build toward

We're not handing over a boxed product. We bring the expertise, and your team ends up owning a result like this:

A governed data platform that unifies matter, document, and financial data

Analytics on profitability, realization, and outcomes that leadership can act on

E-discovery and review that scale without linear cost growth

The firm's own work product searchable: knowledge that compounds

A trustworthy, governed foundation for AI and LLM-based tools

Platforms & technologies we work with

Snowflake / DatabricksiManage / NetDocumentsRelativityPower BI / TableauLLM / RAG platformsClio / practice managementData governance tooling

…and whatever else your environment runs on.