AI Legal Evidence Agent
The legal evidence agent ingests case files, contracts, discovery sets and exhibits, then answers questions and links supporting passages with citations — a DocMatch-style workflow for privileged material.
Legal work is confidential by definition, which makes public APIs a poor fit. This agent keeps everything inside the firm and wants solid memory for retrieval over large document sets plus a careful, capable model.
What it does
- ▸Evidence and exhibit search with cited passages
- ▸Contract and clause Q&A across matters
- ▸Discovery review and summarization
- ▸Privileged-material assistants that never leave the office
Connects to
Fit is driven by each machine’s rag capability score.
Models that power it
All models →Open models in the library that suit this role: 15. A few, smallest first:
Nomic Embed Text (class)
fast retrieval · lightweight
Snowflake Arctic Embed (class)
quality retrieval · RAG
mxbai-embed-large (class)
quality retrieval · RAG
BGE-M3 Embeddings (class)
multilingual retrieval · long documents
Qwen2-VL 7B (vision)
image understanding · document/screenshot parsing
MiniCPM-V 8B (vision)
document/OCR vision · image understanding
Hardware it runs on
All hardware →Machines that can host this agent today, scored for real local-AI workloads — cheapest strong fit first.
Apple Mac Studio (M4 Max)
Up to 128GB of unified memory in a compact desktop — large enough to hold 70B-class models entirely on-device.
- Memory
- 128 GB unified
- Architecture
- Apple M4 Max
NVIDIA A100 80GB
The datacenter workhorse of the LLM boom: 80GB HBM2e with strong tensor throughput, now widely available used and in the cloud.
- Memory
- 80 GB
- Architecture
- Ampere
Dell Precision 7960 AI Workstation
A professional tower that can house large pro GPUs (e.g. RTX 6000 Ada / A6000) for serious on-desk local AI.
- Memory
- 48 GB
- Architecture
- Configurable (multi-GPU tower)
Run it private, in your cloud, or hybrid
Keep this agent on hardware you own for privacy and predictable cost, run it on cloud GPUs in your own account for bursts and the largest models, or do both.
Frequently asked questions
What is the Legal Evidence agent?+
The legal evidence agent ingests case files, contracts, discovery sets and exhibits, then answers questions and links supporting passages with citations — a DocMatch-style workflow for privileged material.
Can the Legal Evidence agent run privately on my own hardware?+
Yes. It runs on open-weight models you self-host on a private box, on-prem server or your own cloud account, so data stays on infrastructure you control. You can also run hybrid — local by default, bursting to the cloud for the largest models.
Which models power the Legal Evidence agent?+
It works with open models such as Nomic Embed Text (class), Snowflake Arctic Embed (class), mxbai-embed-large (class). The right size depends on quality needs and the hardware you run it on — see the model library for VRAM by quantization.
What hardware does the Legal Evidence agent need?+
It typically maps to the Pro tier. A machine like the Apple Mac Studio (M4 Max) strongly fits this role; lighter or heavier hardware shifts how many concurrent requests and how large a model you can run.
What does the Legal Evidence agent connect to?+
It connects to the systems this function already runs on — for example Document stores, Email, Google Workspace, Case management — so it does real work instead of only answering questions.
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