Law Firms · Build Pod
Who Builds AI Tools for a Law Firm Already Running Clio, iManage, and Relativity?
Most law firms don't need another point tool bolted onto Clio or iManage — they need software built around how their associates, paralegals, and intake staff actually work. A Build Pod is a small, dedicated AI engineering team that sits inside your firm's workflow: reading the way your discovery sets get loaded into Relativity, how conflict checks bounce between spreadsheets and partner memory, and where intake calls turn into billable matters. We ship internal tools your associates open every morning, not pitch decks about generative AI.
What we build for Law Firms
Privilege-aware discovery review across Relativity and shared drives
Cluster, summarize, and tag responsive documents with citations back to Bates numbers, so associates start a discovery set hours in instead of weeks in. Privileged material is flagged before anything leaves the review platform.
Conflict-of-interest checks against your full matter and contacts history
Replace the spreadsheet-and-memory routine with a tool that searches every prior matter, related party, and adverse counsel record before a new client is opened. Partners get a one-screen conflicts memo instead of a Slack thread.
Structured client intake that hands off a billable matter, not a transcript
AI intake captures jurisdiction, party names, statute-of-limitations dates, and engagement scope from a call or web form, then drafts the engagement letter and opens the matter in Clio so paralegals stop retyping the same fields.
How a Build Pod fits
A Build Pod starts with a week embedded in your firm — sitting with associates during a discovery push, watching intake calls, reading how your conflicts memo actually gets written. From that we pick one workflow that's costing the most billable hours and ship a working internal tool in two to three weeks, wired into Clio, iManage, NetDocuments, or whatever document system you already pay for.
From there the pod keeps going on a monthly subscription: the next workflow, then the one after, with weekly demos to the partner sponsoring the work. You own the code, the prompts, and the data. Nothing gets sent to a model your general counsel hasn't approved, and privileged material stays inside your tenancy.
Frequently asked questions
- Which AI do law firms use?
- Most firms we work with already pay for Harvey, CoCounsel, or Lexis+ AI for general research, then use a Build Pod to build firm-specific tools those products don't cover — conflicts, intake, and matter-specific document workflows wired into Clio or iManage.
- Is Claude or ChatGPT better for lawyers?
- For long contract review and reasoning over discovery sets, Claude tends to hold context better; for client-facing summaries and shorter drafting, GPT-4-class models are competitive. We pick per workflow and route through your firm's approved API tenancy so privileged content doesn't leave your control.
- How do you handle privilege and confidentiality when building these tools?
- Everything runs inside your cloud tenancy or a private deployment. Models are called via API with zero-retention terms, no training on your data, and access scoped to the matters each user can already see in your DMS.
- How long before associates are actually using the first tool?
- Two to three weeks for the first internal release. We pick a workflow narrow enough to finish — a conflicts checker or an intake-to-matter flow — rather than a year-long platform rebuild.
- What does the Build Pod cost compared to hiring a senior engineer?
- The subscription is priced around the all-in cost of one senior in-house hire, but you get a small team — engineering, AI, and design — instead of a single person ramping up on legal tech.
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