Four stages. One machine. Nothing in between.

The whole pipeline — extraction, indexing, analysis, recall — runs as local processes against local storage. Here is exactly what happens to a case file, and what it takes to run.

Stage 01

Ingest

Drop PDFs, scans, e-discovery productions, email batches. OCR and text extraction turn all of it into clean, cited text.

PDF · TIFF · DOCX · PST · load files

Stage 02

Index

Every page is chunked, vectorized, and stored in the local vector database. Ten thousand pages index overnight on minimum spec.

Local vector DB · full-text index

Stage 03

Analyze

Ask in plain language. Get page-cited summaries, chronologies, contradiction flags — inference runs on your GPU or Apple Silicon.

On-device LLM · page citations

Stage 04

Recall

Notes are tracked per case and searchable across every engagement. New sources fetch, vectorize, and join the index on demand.

Case notes · cross-case recall · dynamic RAG

Everything inside the line.

Your machine / your network — nothing crosses this line

Electron UI

Case workspace, reader, chat, notes

Local API

Every feature, scriptable on localhost

Inference engine

Local LLM on GPU / Apple Silicon; a lighter model handles extraction-only machines

DB

cases & notes

Vectors

document index

Cache

Redis-compatible

Sidecar Practice plan

Runs on the firm’s secure document server; your IT team manages it. Seats share one index over the LAN.

Connectors (opt-in, outbound only)

Clio · iManage · NetDocuments · Dropbox · Drive · OneDrive — fetched on request, indexed locally. Research links open in Westlaw / LexisNexis.

No telemetry. No account pings. License activation tolerates months offline.

Server racks in a secure machine room
Runs where your documents already live — your workstation, your server room. Photo: Unsplash

Sized for the hardware experts already own.

Minimum — extraction, indexing & searchRecommended — full local LLM
OSmacOS 13+ · Windows 11 x64 · Ubuntu 22.04+Same
ProcessorApple Silicon M1 · or 8-core x64M2 Pro or later · or NVIDIA RTX 4070+ (12 GB VRAM)
Memory16 GB32 GB
Storage20 GB free SSD60 GB free NVMe
What runsOCR, indexing, search, summaries via the compact modelFull model — fastest summaries, deepest analysis