Law Firms · AI Automation
Stop Burning Associate Hours on Discovery Review and Conflict Checks
Your associates didn't pass the bar to spend their week tagging documents in Relativity, your intake coordinator shouldn't be the bottleneck on every new matter, and conflict checks shouldn't depend on whether someone remembered to grep the spreadsheet. Asaasin builds AI automation tuned to how your firm actually runs — the matter types you take, the DMS you've already paid for (iManage, NetDocuments, SharePoint), the billing rules in Clio or Centerbase, and the way your partners want output reviewed before it touches a client. Not a horizontal SaaS tool. Software shaped to your practice.
What we build for Law Firms
First-pass discovery review and privilege tagging across Relativity productions
Pre-classify documents by responsiveness, privilege, and key issue before associates touch them, with confidence scores and an audit trail partners can defend. Reviewers stay in the loop on anything ambiguous.
Conflict-of-interest checks against your full matter and contact history
Run new-party names against every matter, related entity, and historical client in your DMS and accounting system — not just exact-match spreadsheet lookups. Flag indirect conflicts a human would miss on a Friday afternoon.
Client intake triage that drafts engagement letters and matter summaries
Turn a phone call or web form into a structured intake packet, a draft engagement letter in your firm's template, and a Clio matter pre-populated with the right practice area, billing rate, and responsible attorney.
How a Build Pod fits
A Build Pod is a small, dedicated team — a tech lead plus AI and full-stack engineers — that works only on your firm's tools. Week one is scoping with whichever partner or ops lead owns the workflow: we sit with your discovery team, your intake coordinator, your billing admin, and we map what's actually slow. By the end of week three you have a working tool deployed against a real matter, wired into Clio or your DMS, with a feedback loop your associates can use without leaving their normal screen.
From there the Pod stays on. Discovery review goes live, then conflict checks, then intake, then whatever the next bottleneck is — billing narrative cleanup, deposition summary drafts, deadline tracking against local rules. You get senior engineers who already understand legal data sensitivity, ethical walls, and what "defensible" means in this industry, on a monthly subscription instead of a six-month SOW.
Frequently asked questions
- How long before we see working software?
- Three weeks from the scoping call to a tool running against one real workflow — usually discovery triage or intake — in a sandbox tied to your DMS. After that, new automations ship every two to three weeks while the existing ones keep running.
- Is Claude or ChatGPT better for lawyers?
- It depends on the task. Claude tends to be stronger on long-context reasoning like contract and discovery review; ChatGPT is often better for client-facing drafting; Gemini handles very large documents well. Your Build Pod picks per workflow rather than locking the firm into one vendor, and routes privileged data through whichever model meets your confidentiality posture.
- How do you handle privilege, confidentiality, and ethical walls?
- Matter-level access controls match what's already enforced in your DMS, prompts and outputs are logged for defensibility, and we can route through private model endpoints (Azure OpenAI, AWS Bedrock, on-prem) so client data never trains a public model. Ethical walls in iManage or NetDocuments are respected by the automations that read from them.
- What software do most law firms use that you integrate with?
- We regularly build against Clio, Centerbase, and Aderant for practice management; iManage, NetDocuments, and SharePoint for documents; Relativity and Everlaw for ediscovery; and Outlook plus Microsoft 365 for the day-to-day. If your firm runs something custom or older, the Pod integrates with it rather than asking you to switch.
- Who owns the code and the models?
- You do. Everything the Build Pod ships lives in your repository, your cloud account, and your model accounts. If you ever pause the subscription, the software keeps running and your team can take it from there.
Ready to ship AI for law firms?
A Build Pod gets working AI into your stack in 2–3 weeks. Month-to-month, cancel any time.
Talk to a Build Pod