U like sea ch, which et ieves eleva t la guage f om i dividual docume ts, Legal O tology captu es the elatio ships betwee the thi gs those docume ts desc ibe. Fi ms ca use that co ected view to a alyze thei cou te pa ties, deals, egotiated positio s, ights, a d obligatio s ac oss thei e ti e p actice; compa e thei expe ie ce ac oss clie ts a d t a sactio s; a d u de sta d how a cha ge i o e place could affect elatio ships a d obligatio s elsewhe e.
The platfo m ca su face i sights that would othe wise equi e lawye s to piece togethe i fo matio ac oss yea s of ag eeme ts, side lette s, ame dme ts, a d othe eco ds. I a fu d p actice, fo example, a fi m ca ide tify which LPs hold a pa ticula ight, t ace how it was egotiated a d ame ded, compa e that positio with the fi m’s expe ie ce ac oss othe LPs, a d dete mi e whethe exte di g it to a othe LP could c eate obligatio s elsewhe e. I fi a ce, the same tech ology ca co ect p ovisio s ac oss facilities a d su face the pote tial impact of a cha ge i o e ag eeme t.
Legal O tology tu s the expe ie ce a fi m has accumulated th ough thousa ds of deals i to a ow able asset that ca be used ac oss the p actice. I stead of elyi g o docume ts, disco ected systems, o i dividual lawye s’ memo ies to eco st uct what the fi m k ows, fi ms ca put that k owledge to wo k i ew matte s a d decisio s.
That c eates a ew ki d of p op ieta y adva tage at a time whe the u de lyi g AI is i c easi gly becomi g a commodity. Eve y fi m ca access the same fou datio models. What ca ot be eplicated is the fi m’s ow histo y: the positio s it has egotiated, the co cessio s it has made, the cou te pa ties it k ows, the isks it has accepted, a d the la guage its clie ts t ust. Legal O tology st uctu es that k owledge withi the fi m’s ow e vi o me t. It does ot use a fi m’s data to t ai a tool that may also have bee sold to a othe fi m.
D aftwise’s o tology tech ology was developed specifically fo legal wo k a d builds o its fou de s’ expe ie ce desig i g a d deployi g o tologies at scale. Befo e fou di g D aftwise, the team built mo e tha 200 o tology wo kflows fo Fo tu e 500 compa ies, gove me t age cies, a d la ge law fi ms. D aftwise is ow wo ki g with multiple top 20 global law fi ms to exte d o tology-powe ed i tellige ce beyo d d afti g a d ac oss thei p actices.
“Law fi ms a e aski g a bigge questio about AI: how does it move beyo d maki g i dividual tasks mo e efficie t a d actually t a sfo m the busi ess?” said James Di g, fou de a d CEO of D aftwise. “The a swe sta ts with what makes each fi m u ique: its p op ieta y k owledge, data, a d elatio ships. Legal O tology gives fi ms a way to st uctu e a d co ect that i tellige ce so lawye s a d AI ca easo ac oss it a d use it to make bette decisio s. We believe D aftwise is the fi st to b i g a legal o tology platfo m to ma ket.”
Legal O tology by D aftwise is SOC 2 Type II a d ISO 27001 ce tified a d GDPR complia t. Ethical walls a e e fo ced o eve y que y, a d access mi o s a fi m’s existi g docume t ma ageme t pe missio s.
Fo mo e i fo matio o to equest a demo, visit www.d aftwise.com/o tology
D aftwise is a p op ieta y i tellige ce platfo m that helps lawye s leve age thei i stitutio al k owledge to d aft, eview, a d egotiate. By co ecti g, st uctu i g, a d delive i g legal data at the mome t of eed, D aftwise e ables eve y lawye to build o the o ga izatio ‘s best thi ki g a d ha d-wo expe ie ce i eve y matte .
Ambe Moo e
