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AI's Impact on Legal Practice
Just came across a McKinsey article on how AI will impact different legal practice areas namely in two ways:
- automation displacement (where AI automation displaces the demand for human lawyers)
- strategic transformation (where AI reshapes service models)
The levels of change is not explicitly described, but I suspect:
- Transformative – the highest level of change
- Significant – second highest
- Emerging – third highest
- Moderate – the lowest
Few things were as expected:
- Transactional law taking the biggest hit.
- Especially M&A and banking and finance practice areas.
- They are anticipated to go through transformative and significant automation displacement respectively.
- I imagine a lot of its work can be automated easily.
- The demand for junior lawyers will shrink greatly over time.
- Disputes and litigation also taking a hit.
- I anticipate legal research being done a lot quicker by single person using AI, although lawyers will continue to be careful about hallucinations.
- The demand for junior lawyers will shrink a lot over time.
Some things caught me by surprise:
- Regulatory and compliance area also taking a big hit.
- McKinsey expects it to go through a transformative change.
- I expected limited impact due to the need for an actual human to interpret the fine lines of the law using human judgment.
- Limited impact on transactional law
- AI impact on capital markets law and private equity law are described as moderate.
- I expected greater impact.
- Limited impact on advisory law
- AI impact on most advisory practice areas described as either emerging or moderate.
- I expected greater impact on IP and tax law.
Would anyone care to explain:
- why regulatory and compliance area is impacted greatly by AI?
- why capital markets law and private equity law are going to have limited impact by AI?
- why IP and tax law are going to have limited impact by AI?
- I invite any other comments related to AI's impact on other practice areas, too.
u/TieLiving8770 — 4 days ago