Camouflage your documents offline: mask PII and strip metadata before using AI
Lawyers in over 25 countries are using CamoText as an easy, private-by-design tool for protecting confidentiality in AI document analysis
TRACKED CHANGES: Law firm innovation chiefs left a private meeting with Anthropic unimpressed, per Bloomberg Law. “They need to wake up,” one said, citing two major dealbreakers: no hands-on training support and a minimum spend requirement just to negotiate custom privacy terms.
@thedogfather@RobertFreundLaw Wild that people still use third party services that require providing raw files externally for… confidentiality preservation
@JJEnglert We have users that script-in our CLI mode to use categorized placeholders in prompts/context, then reinsert into returned content, 100% locally!
@AmarachiOkoroa1 Really well said! These conversations/tips have been a big focus of ours - you might be interested in our offline anonymizer as a piece of the human-in-the-loop sanitize & review step
Reducing AI context files to masked, metadata-free plaintext drastically mitigates data exposure AND saves tokens
Working to make this a best practice in AI analysis of legal docs
https://t.co/kvDYnfudiW
@daniellevine So many small firms are also just generally unaware of logging (and the extent of info in metadata), and assume the confidentiality issues are mitigated by opting out of training
@ainativefirm@StevenObiajulu Depends on the practice sometimes - a lot of small firms simply don’t know what they can do to mitigate exposure outside of what their subscription avails them
Full article, which includes all prompts used for the report, trial transcripts, the report itself. The firm hired charged more than $80,000 for the report.
Also shows that AI transcripts can be discoverable and can be very revealing:
https://t.co/fKa8pCfzGc
Legal AI dominates headlines. But how are lawyers actually using AI in 2026?
To answer that question, I spoke with 10 people at the cutting edge of legal AI.
Lawyers like @zackbshapiro, @mollyisonchain, Sujit Raman, @MikeJShowalter, @erichdylus, Aaron Kelly, as well as @CooleyLLP's Chief Innovation Officer, @SpellbookLegal's CEO @scottastevenson and others.
By the end of this @LawofCodeFM episode, you'll understand how these lawyers are AI maxxing in 2026.
Timestamps:
0:00 Intro
1:58 Why it's the best time to be a lawyer
3:03 Hallucinations and cognitive surrender @zackbshapiro
5:33 Quality over efficiency
8:13 Why AI won't just augment work, it upends it @mollyisonchain
15:20 60% of contracts filed to EDGAR have mistakes @scottastevenson
20:04 How LLMs actually work
25:59 Zero data retention explained
29:16 The privacy risk beyond training @erichdylus
39:16 How to prompt @zackbshapiro
47:03 @MikeJShowalter's AI-native litigation stack
55:27 @SpellbookLegal's Compare to Market Feature
1:03:10 Building a regulatory agent
1:09:50 The judgment crisis for junior lawyers
1:12:15 Cooley's AI training method
Thank you to the presenting sponsor of this episode,
@altitude.
Nothing in this podcast is legal or investment advice.
CamoVoice now supports video transcription
Drag & drop a file -> transcribed fully offline
Great for recorded meetings, depositions, etc.; stop allowing access to cloud AI notetakers and transcribers
The problem in legal AI was never that lawyers are using it. It's that too many firms are using it with no rule governing how.
Above the Law framed it well this month: associates are quietly running client work through AI because they assume everyone else is, lawyers are pasting privileged material into public tools without knowing where it lands, and the written policy is either nonexistent or vague enough to mean "be careful."
Here is the part practitioners should sit with. Courts and disciplinary authorities are about to stop treating these as growing pains and start treating them as failures of professional management. A growing pain gets sympathy. A management failure gets a referral.
The firms without a real AI policy right now are the ones that will find out what that reclassification costs.