Firm-Tuned Contract AI (India, 2026)

Most AI contract tools draft the average contract. They have read a lot of agreements, so they produce something that looks like a reasonable NDA or services agreement for a generic company. The problem is that your company is not generic. It has house positions, preferred terms, a risk posture and a way of wording things that your lawyers have refined over years. A generic tool ignores all of that and gives you a competent stranger's draft, which someone on your team then has to rewrite into your standard. This page explains why that gap matters, what "firm-tuned" really means, and how Adira closes it. ## The hidden cost of a generic draft A generic AI draft is not useless. It saves you from a blank page. But it quietly creates work. Your non-compete is 12 months; the tool wrote 24. Your governing law is always the courts of a particular city; the tool left it open. Your liability cap is a fixed multiple of fees; the tool wrote "direct damages only" in a way your clients never accept. Each of these is a small correction, and together they mean your lawyer reads the whole draft against an invisible checklist in their head and fixes it line by line. That is the hidden cost. The draft looks finished, so it feels fast, but the real work, which is making it sound like you and protect you the way you always protect yourself, has not started. Multiply that across every contract and the time saved is far smaller than the demo suggested. Worse, generic drafting is inconsistent. A junior who accepts more of the AI's wording ships contracts that differ from a senior's. Over a year the company's paper drifts, and the whole point of a standard is lost. ## What firm-tuned actually means "Firm-tuned" is thrown around loosely, so it helps to be precise. It does not have to mean retraining a model on your data, which raises privacy questions and is slow. The more useful meaning is this: the tool learns how your company contracts and injects that knowledge into every draft and review, without your documents leaving your control or training anyone else's model. Concretely, a firm-tuned tool should know: - What you do and who your counterparties usually are.

• Your preferred positions on the clauses that matter: liability, indemnity, term, termination, non-compete, confidentiality, IP ownership, payment terms.
• Your risk posture: where you push hard and where you concede.
• Your house style: how your clauses are worded, numbered and defined. When those are in the tool, a draft comes out already shaped your way, and review flags a counterparty's clause not just as "unusual" in the abstract but as "against your usual position." That is the difference between an average draft and your draft. ## How Adira builds a company persona Adira does this through a feature called the Company Persona. It builds an in-depth profile of your company from your own documents, with optional public research added. It captures what the company does, its directors, how and where it contracts, its preferred terms, its risk posture and its house style. That persona is then injected into every draft, so contracts sound like the company and skew terms in its favour rather than sitting at a neutral midpoint. The persona is fully viewable and editable, so it is not a black box: you can read what the tool believes about your company and correct it, which matters because a wrong assumption would otherwise be baked into every contract. This is tuning without surrendering your data. Adira does not train the underlying model on your contract corpus. The persona personalises your workspace; it does not feed a shared model that other companies benefit from. ## Firm-tuning in review, not just drafting Tuning is usually sold as a drafting benefit, but it matters just as much in review. When Adira opens a counterparty's contract, its Document Intelligence Dashboard colour-codes positions as favourable, neutral or unfavourable to your company. That judgment only means something if the tool knows what favourable is for you. A generic tool can say a clause is "aggressive" in general; a tuned tool can say it is aggressive relative to the position you normally hold, which is the judgment a reviewer actually needs. The same applies to missing clauses. A generic tool flags standard omissions. A tuned tool can flag the clause your company always insists on that this draft happens to lack. ## How the competitors compare It is fair to credit the field. SpotDraft is strong on India-focused workflow and template libraries. Ironclad and Icertis are mature enterprise platforms with deep workflow and integrations. Juro has a clean collaborative editor. LinkSquares and Evisort are strong on repository analytics across large contract sets. Several of these let you build template libraries and clause libraries, which is a real form of standardisation. The distinction Adira draws is between a static library and a learned persona. A clause library is a shelf of approved wording that a person has to pick from correctly. A persona is a profile the tool applies automatically to both drafting and review, including the softer judgments of risk posture and house style that a library cannot encode. Both approaches have value, and a team that already maintains a disciplined clause library may get much of the benefit. The honest framing is that firm-tuning sits on a spectrum, and you should ask each vendor where on it they actually are, rather than taking the word at face value. ## What to ask a vendor about tuning - Does the tool learn my company's positions, or do I pick from a generic template each time?
• Does tuning require sending my data to train a shared model, or does it stay in my workspace?
• Can I see and edit what the tool believes about my company?
• Does the tuning apply to review as well as drafting?
• How does it keep my contracts consistent across junior and senior users? Adira's answers are the Company Persona built from your documents, no training on your corpus, a fully editable persona, tuning applied to both drafting and review, and consistency because every user draws on the same persona. You can see the product at Adira. ## Bottom line Generic AI contract tools draft like an average company and leave the real work, which is making a contract sound like you and protect you your way, to a human reviewer. Firm-tuning closes that gap by teaching the tool your positions, risk posture and house style. Adira does this with a Company Persona built from your own documents, injected into every draft and into review, fully editable, and without training the underlying model on your corpus. When you evaluate tools, press on what tuning really means for each one, because a static clause library and a learned persona are not the same thing.