Articles, comparisons and coverage from the team building agentic AI for due diligence.
Contract review is roughly 30% of the time spent on a diligence. The other 70% is coordination: allocating work, tracking a moving data room, running Q&A and building the report.
Where the other 70% goes
Read the article DeeligenceMost AI diligence tools check each document against an issues list written before anyone has opened the data room. It looks like a lawyer working through a checklist. It isn't.
It was never about the model
Read the article DeeligenceAlmost every legal AI tool now claims to be built for due diligence. Most demo well. These are the nine questions the sharpest partners ask when they evaluate one, and what a good answer sounds like.
A checklist for evaluating any vendor
Read the article DeeligenceFor decades, being junior in an M&A team meant finding the needle in the haystack. The real question isn't whether AI takes junior lawyers' jobs, it's which parts of that job were ever worth keeping.
What the job looks like now
Read the article DeeligenceAn honest comparison for M&A due diligence. Where a general model is genuinely useful, where it quietly breaks on a full data room, and what a purpose built platform does differently.
Why focus matters for legal diligence
Read the article Law Institute of VictoriaOn the balance between hype and reality, and the case for a problem first rather than an AI first approach. Covers data privacy, jurisdictional bias and how legal work itself is changing.
By Elena Tsalanidis and Justin Hansky
Read the article Australian Financial ReviewCoverage of how legal AI is shifting from streamlining basic tasks to creating commercial advantage for firms and their clients, and how smaller firms can now unlock deal data that was once out of reach.
Deeligence in the AFR
Read the article ALTAApplying design thinking and lean startup principles to legal technology, drawn from the six months and 50 plus interviews behind the first version of Deeligence.
By Elena Tsalanidis
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