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    Multi-Model Strategy in Legal

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    IllustrativeUpdated 2026-07-08

    Multi-Model Strategy in Legal

    Legal teams use an average of 3.1 AI providers. Market share distribution, model selection criteria, and routing patterns across firm sizes.

    Selection Criteria Ranking

    Average Models Used per Firm

    Illustrative estimate - a directional figure for scenario framing, not a measured benchmark. Do not read these as measured per-vendor results.

    A directional estimate suggests firms rarely rely on a single model once they scale. Solo practitioners average an estimated 1.4 models, while Big Law firms (50+ lawyers) run closer to 3.5, with in-house teams in between at 2.6. The pattern points to multi-model stacks as a function of size and risk exposure, not preference: larger firms appear to route different work (drafting, research, review) to different models rather than standardizing on one, likely to balance accuracy, cost, and data-privacy tradeoffs across practice areas. For smaller firms, this scenario implies less redundancy and more dependence on whichever single model they've adopted.
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