Independent analysis
Sharp, conflict-free commentary on how law and technology actually collide — for lawyers, legal-ops teams and CLOs.
Picture this: your AI due diligence platform flags 47 UCC-1 financing statements against the target company. Your junior associates spend two days pulling and reviewing each one. Forty-one of them lapsed under UCC § 9-515's five-year termination rule years before your letter of intent was...
Force majeure used to be boring. A clause nobody read closely, negotiated hard, or worried much about — until COVID-19 turned it into one of the most litigated provisions in commercial law history. Courts in Palm Springs Mile Associates v. Kirkland's Stores and hundreds of...
The pitch is seductive: deploy an AI compliance tool, reduce your regulatory risk surface, sleep better at night. The reality in mid-2026 is considerably messier. A growing number of AI-powered compliance platforms are operating on training data and rule sets that lag actual agency guidance...
The pitch from every AI contract review vendor is essentially the same: faster review, fewer errors, consistent risk flagging. What they don't tell you is that the "consistency" baked into their models is overwhelmingly the consistency of Delaware corporate law, New York commercial practice, and...
AI contract review has gotten genuinely good at the hard parts. Tools built on large language models can now catch unfavorable indemnification carve-outs, flag missing limitation of liability caps, identify non-standard IP assignment language, and surface problematic termination triggers — often more consistently than an...
There's a supervision failure happening inside plaintiffs' firms right now, and most litigation partners haven't named it yet. It lives at the intersection of AI-assisted case evaluation and the behavioral economics of settlement negotiation — and it's quietly costing clients money.
When a transactional lawyer uses an AI drafting tool and accepts its suggested arbitration clause, they're not getting a neutral starting point. They're getting a statistical average of whatever agreements the model was trained on — and if that corpus skews heavily toward agreements drafted...
There is a specific, recurring, and largely undiscussed failure mode embedded in how litigation teams are currently using AI timeline tools, and it is quietly poisoning case strategy from the inside. The problem is not hallucination in the dramatic sense — the AI inventing a...
There is a quiet fiction spreading through legal AI contract negotiations, and it goes something like this: if your AI vendor offers an indemnification clause, you are meaningfully protected when the tool produces bad output that causes client harm. Law firms are signing on this...